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Qumulo's cloud data platform manages exabytes of the world's most demanding data, unifying files, objects, and every workload across edge, core, and cloud. Customers are the lifeblood of our company and Qumulo is looking for strategic, customer-focused, and results-driven Customer Success Engineers (CSEs) with a strong background in cloud technologies. CSEs will engage and work with our customers to answer technical questions or resolve complex issues primarily focusing on cloud environments such as AWS and Azure. The CSE is ultimately responsible for the complete life cycle of a customer issue and ensuring proper communication and resolution. Troubleshoot issues on the Qumulo product in both On-Premises or Cloud file systems, including cloud infrastructure issues, permissions problems, performance issues, and general file system issues Prioritize and drive resolution for escalated customer issues in both cloud and on-premises environments Work cross-functionally with our sales, product, and engineering teams to ensure customer issues are quickly resolved Provide feedback to engineering and product teams on product gaps and areas of improvement, particularly related to cloud offerings Collaborate with peers and mentors on complex issues Consistently grow knowledge and expand skill sets in cloud technologies Multi-lingual with English as primary customer support delivery language Excellent written and verbal communication skills Strong problem-solving skills with a can-do attitude in a fast paced environment Demonstrated working knowledge of major cloud platforms, including compute, storage, networking, and identity management services Basic network troubleshooting skills and understanding of general network technologies Familiarity with Linux & Windows operating systems Familiarity with Windows Active Directory or LDAP Understanding of file permissions and access control in cloud environments 5 - 7 years experience in a customer-facing role, including 1-3 years of troubleshooting cloud environments Python Programming skills are a plus Relevant cloud certifications (e.g., AWS Certified SysOps Administrator, Microsoft Certified: Azure Administrator Associate) are a plus, but not required Must have the right to work in the UK without visa sponsorship. About Qumulo: Built for the most demanding enterprise workloads, from AI and HPC simulations to Splunk Observability, genomics and PACS medical imaging, geospatial datasets, media editing and rendering, and video surveillance, Qumulo unlocks the full power of an organization’s information. Our platform unifies file and object storage across data centers, edge, and public clouds, enabling efficient, accelerated computing and extending the reach of data unbound by protocol or transport limitations. With more than 1,100 customers and exabytes of data under management, Qumulo powers mission-critical workloads anywhere real-time access to massive file datasets is non-negotiable. Qumulo delivers radical simplicity, hardware freedom, exceptional customer support, and a true hybrid-cloud architecture. Our Values: At Qumulo, we are building an open and collaborative culture where people can do their best work with customers as our magnetic field. We act as owners, we share by default, we are data driven and experimental and as an inclusive workplace, we encourage and celebrate multiple points of view. As part of our culture we believe diversity drives innovation. Equal Opportunity Employer: Qumulo is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin, or any other characteristic protected under federal, state, or applicable local law. For more information on Qumulo's Applicant Privacy Policy, please visit: _

WHO WE ARE Come join the company reinventing data security, empowering businesses to realize the full potential of their data. As the leading data security platform purpose-built for the cloud era, Cyera’s mission is to reinvent how businesses secure data, enable agile collaboration, and boldly pursue new business opportunities. Trusted by security teams at leading global businesses, our team is proving that data security is the next big thing in cyber. Backed by the world’s leading investors and working with a large and growing list of Fortune 1000 companies, we are looking for world-class talent to join us as we usher in the new era of data security. THE OPPORTUNITY We are searching for a highly skilled Customer Success Engineer to play a key role in optimizing our customers' utilization and return on investment in Cyera. This position offers an exciting chance to join a thriving organization and contribute to the forefront of data security, making a significant impact on the protection of data for numerous global enterprises. As part of this role, you can expect to travel between 25-50% annually, enabling you to engage directly with clients and enhance their overall experience. RESPONSIBILITIES As a Customer Success Engineer, you will play a crucial role in ensuring customer satisfaction and success by: • Serving as the primary technical expert on the Cyera Platform, demonstrating in-depth knowledge and expertise., • Establishing yourself as a trusted advisor to customers at all levels, from practitioners to executives., • Driving customer adoption through effective onboarding and training processes., • Gaining a deep understanding of customers' requirements, challenges, and desired business outcomes, and then designing and delivering customized use cases that align with their goals using a consultative approach., • Proactively ensuring that customers are realizing the full value of their investment and maximizing their return on investment by consistently driving sustained adoption of Cyera's platform. You will act as the leader for ongoing engagement and expansion, helping customers achieve their business and technology objectives., • Proactively identifying and resolving any obstacles or blockers that may impede customer success, collaborating with peers to address them promptly., • Advocating for the customer's voice and feedback, actively influencing Cyera's roadmap and product development., • Utilizing self-paced training resources to support customer education and promote knowledge growth throughout their journey., • Troubleshooting and resolving technical issues impacting customers, ensuring smooth operation and seamless experiences., • Monitoring and reporting on the overall well-being of customers, tracking key health and usage indicators., • Collaborating with customers to develop joint success plans., • Documenting and sharing best practices both internally and externally to foster knowledge sharing and continuous improvement., • Mentoring other team members, sharing your expertise and assisting in their professional development., • Participating in the interview process to help identify and onboard talented individuals to the team., • Conducting Quarterly Business Reviews with customers, evaluating progress, and identifying areas for further improvement and collaboration. REQUIRED QUALIFICATIONS: • Associates degree or equivalent experience required. Bachelor’s degree in Computer Science or similar experience a plus, • 12 years experience in Strong project management skills, enabling you to effectively plan, organize, and execute multiple projects simultaneously while maintaining a strong attention to detail, • A self-starter who thrives in an ambiguous, fast-paced, and deadline-oriented startup environment., • A results-oriented mindset, with a proven track record of driving revenue growth, ensuring customer satisfaction, promoting feature adoption, and maximizing customer retention., • Prior experience collaborating with Development teams., • Proficiency in SQL, scripting languages (e.g., Python or equivalent), and hands-on experience with cloud environments., • 3+ years of hands-on experience with data technologies and cloud technologies, including databases, cloud infrastructure and basic administration (e.g., cloud networking, data and compute assets, IAM and permissions, etc,), • Experience with programming or scripting languages and familiarity with APIs and web services, • Demonstrated expertise in DLP (Data Loss Prevention), Data Privacy/Protection, DSPM/CSPM (Cloud Security Posture Management), SIEM (Security Information and Event Management), or vulnerability management with hands-on experience preferred., • Prior experience working in a software company in a technical customer-facing role is essential., • Demonstrated track record of owning customer relationships, including onboarding, renewal, and expansion., • A self-motivated, proactive, and innovative team player who consistently strives to inspire customer loyalty., • Excellent interpersonal and customer relations skills, particularly when it comes to building and nurturing strategic relationships., • A clear and concise verbal and written communicator, capable of conveying complex information effectively., • Proficiency in leading both executive meetings and technical workshops, demonstrating confidence and expertise., • Ability to work autonomously, tackling even the most intricate challenges, and successfully completing tasks that may lack comprehensive documentation. They will actively participate in projects aligned with their current skill set, seeking assistance primarily for more complex initiatives or issues. COMPENSATION INFORMATION: The range represents total compensation, and may include company bonus, incentive for sales roles, equity or benefits, as applicable. This compensation range represents Cyera’s good faith and reasonable estimate of the range of possible compensation for this role at the time of posting, and Cyera may ultimately pay more or less than the posted range. The final salary for this position will be determined in Cyera’s sole discretion, consistent with applicable law, and based on a variety of factors, including but not limited to the employee’s work experience, skills, and qualifications for the role, as well as the needs of Cyera’s business and other operational considerations. Final compensation will vary based on seniority and relevance of experience, location, and position requirements. This role may be eligible for potential merit increases based on factors such as individual or company performance, time in role, and other discretionary factors. BENEFITS - Why Cyera? • Ability to work remotely, with office setup reimbursement, • Competitive salary, • Paid holidays and sick time, • Health, vision, and dental insurance

Data Analyst Course Programme – Job Guarantee Included \n Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as £142 per month. \n The Programme \n Complete this 10-week online training with just 10-15 hours per week of study time. You'll learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects. The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions. \n The Outcome \n 93% of graduates secure data analyst roles within 3 months. \n Starting salaries: £28,000 – £38,000 \n Who This Is For \n The programme is completely beginner friendly, so no experience needed. Career changers are welcome, and you can study at your own pace. \n *This programme is available to UK-based learners only. \n Ready to start earning in data? Limited spaces available. Apply now for the next available cohort.

Location Our Full Stack Software Engineer will be an integral part of our R&D team. This role is based remotely as a full-time employee in the UK, Ireland, Estonia, the Netherlands, Sweden and Israel. We are also open to contractors in Eastern Europe and Portugal. Who We Are DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state - from planning to production. Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency.With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide. The Opportunity Cloud spend is no longer just AWS, Google Cloud and Azure. Our customers now run a large and growing share of their technology spend through SaaS platforms, data clouds and AI vendors - and every one of those vendors is an integration that brings another slice of their spend into view. You'll own DoiT's Integrations Framework and the experience built on top of it. This is a chance to define what a great integration experience looks like: a customer connects a new vendor in minutes, sees at a glance that their data is flowing, and handles credential rotation, reconnects and backfills themselves without thinking twice. On the framework side, you'll make adding the next vendor a small, well-understood piece of work rather than a project - so coverage grows as fast as the vendor landscape does. You'll work AI-augmented from day one. Integration development is spec-driven work against constantly changing third-party APIs: one of the highest-leverage places to apply agentic AI tooling. We expect you to use it across your whole workflow and to have real opinions about where it earns its place. • Building new integrations. This is the core of the role. Design and ship integrations against third-party billing and usage APIs - authentication, incremental sync, rate limits, error handling, schema drift - and invest in the Integrations Framework itself, along with testing harnesses and scaffolding, so the tenth integration takes a fraction of the effort of the first., • Working AI-augmented. Use AI daily across the full span of your work - exploring unfamiliar codebases and third-party APIs, prototyping approaches, generating and reviewing code, debugging, writing tests, and producing documentation. Push on what agentic tooling can do for this codebase, and bring judgement about where AI raises velocity and where a human still has to hold the quality bar., • Integration management experience. Build the interfaces customers use to connect, configure and trust their integrations: health and status visibility, actionable error states, credential and key rotation, and clear feedback when something needs attention., • Self-service by default. Design self-service into the framework from the start - backfills, reconnects and diagnostics that customers and internal teams run themselves., • API-first. Build capabilities so they're fully available through APIs, not just the UI. Both humans and agents should be able to drive the platform., • Implementing features end-to-end. From proposal, through spec and implementation, to maintenance. You're expected to propose things you think would be a good addition, not wait for a spec., • 3+ years of professional software engineering experience, shipping and owning features in production, • Strong TypeScript, including modern frontend work - React preferred, • Hands-on experience with Go, or strong backend experience in another language (Python, Java, Node.js, C#) with genuine enthusiasm for ramping up in Go quickly, • Real experience designing and consuming REST APIs, and integrating third-party APIs with all the mess that entails: auth flows, pagination, rate limits, partial failures, breaking changes, • Comfortable across the stack. You may lean backend or lean frontend, but you can own a feature from the database through to the interface, • Working proficiency in SQL, • Experience developing solutions in the cloud and/or using cloud services (GCP, AWS or Azure), • A user-facing instinct for operational tooling - you care whether the error message actually tells someone what to do next, • AI-augmented working style - you already use AI tools across your engineering workflow and can talk concretely about what you've got out of them, • Strong knowledge of software engineering practices, design patterns and architectural principles, • Demonstrated passion for creating high-quality web/SaaS apps, • Excellent communication skills in English, both written and verbal, • Self-organized, goal-oriented and self-motivated; confident, thorough and tenacious, • Experience building integration platforms or extensibility frameworks as a core part of a product, • Experience with cloud or SaaS billing data - AWS/GCP/Azure cost and usage exports, AI vendor billing data, marketplace billing, or the FOCUS specification, • Experience with Google BigQuery, or with data pipelines and orchestration tooling (Dagster, Airflow), • Experience building AI-powered product features (LLM integration, intelligent automation), • Exposure to FinOps practices or cloud financial management products, • BA/BS degree or equivalent practical experience Are you a Do'er? Be your truest self. Work on your terms. Make a difference. We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally. What does being a Do'er mean? We're all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our _. Sounds too good to be true? Check out our _. We thought so too, but we're here and happy we hit that 'apply' button. Full-time employee benefits include: • Unlimited Vacation, • Flexible Working Options, • Health Insurance, • Parental Leave, • Employee Stock Option Plan, • Home Office Allowance, • Professional Development Stipend, • Peer Recognition Program Many Do'ers, One Team DoiT unites as Many Do'ers, One Team, where diversity is more than a goal-it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success. #LI-Remote

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At _, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Data Science AI Trainer, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: • Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare)., • Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn)., • Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)., • Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction., • Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility., • Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency., • Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations)., • Incorporate big data processing scenarios requiring scalable computational approaches., • Verify solutions using Python with standard data science libraries and statistical methods., • Document problem statements clearly with realistic business contexts and provide verified correct answers. Compensation On this project, contributors can earn up to $55 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. • You hold a Master’s or PhD Degree in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field., • You have at least 5 years of hands-on data science experience with proven business impact., • You have portfolio of completed projects and publications showcasing real-world problem-solving., • You are proficient in python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels)., • You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications., • You are proficient in SQL and database operations for data manipulation and analysis., • You have experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)., • You have good understanding of MLOps practices and model deployment workflows., • You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)., • Your level of English is advanced (C1) or above., • You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines., • Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments., • Work on advanced AI projects and gain valuable experience that enhances your portfolio., • Influence how future AI models understand and communicate in your field of expertise.

Location Our Data Engineer will be an integral part of our R&D team. This role is based remotely as a full-time employee in the UK, Ireland, Estonia, the Netherlands, Sweden and Israel. We are also open to contractors in Eastern Europe and Portugal. Who We Are DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state - from planning to production. Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide. The Opportunity Cloud spend is no longer just AWS, Google Cloud and Azure. Our customers now run a large and growing share of their technology spend through SaaS platforms, data clouds and AI vendors - each with its own billing API, its own pricing model, and its own idea of what a "line item" means. DoiT's Integrations Framework is what turns that into a single, trustworthy picture of cost. We're hiring a Data Engineer to own the data side of this. Your mandate is expanding visibility - bringing more of a customer's spend into the platform, from more vendors, at a quality bar people can make financial decisions on. The vendor landscape moves constantly, so this is genuine, permanent ownership with a short line from your work to what customers see. You'll work AI-augmented from day one. We expect you to use AI across your whole workflow, not as an occasional autocomplete, and to have real opinions about where it earns its place. • Expanding vendor coverage. This is the core of the role. Build new integrations against third-party billing and usage APIs, and get more of our customers' spend visible in the platform. Keep existing integrations current as vendors change their APIs and pricing models - which they do constantly. Drive down the marginal cost of the next integration so coverage scales faster., • Working AI-augmented. Use AI daily across the full span of your work - exploring unfamiliar codebases and third-party APIs, prototyping approaches, generating and reviewing code, debugging, writing tests, and producing documentation. Push on what the tooling can do for this codebase, and bring judgement about where AI raises velocity and where a human still has to hold the quality bar., • Data correctness and completeness. Own the quality of the data our integrations produce: duplication, gaps, and race conditions in ingestion and reprocessing, deduplication of spend that also arrives via cloud marketplaces, and support for customers' negotiated rates rather than public list pricing. Build the checks and reconciliation that let us prove the numbers are right rather than hope they are., • Normalization across vendors. Design and build the models that make dozens of differently-shaped vendor bills comparable - consistent units, currencies, time granularity, resource and service taxonomies, and cost categories., • Pipeline ownership. Own the orchestration, scheduling, and backfill mechanics for ingestion pipelines end-to-end - including making backfills a routine, safe, self-service operation., • Collaborating and problem-solving. Work with product, support, and the engineers building on top of this data to understand where the gaps hurt. Propose work you think should happen; you're not here to wait for a spec., • 3+ years of professional experience in data engineering or a data-heavy backend role, with production ownership of pipelines that other people depend on, • Strong SQL - you can write, read and reason about the performance of non-trivial analytical queries, • Hands-on experience building and operating data pipelines with an orchestration framework. Dagster or Airflow is highly desired; equivalent experience with Prefect, dbt or a comparable tool is relevant if you're ready to work in Dagster/Airflow, • Strong Python, or another language you use fluently for data work, • Experience with a cloud data warehouse or analytical store (BigQuery, ClickHouse, Snowflake, Redshift or similar), • Experience integrating third-party REST APIs, including handling the realities: pagination, rate limits, partial failures, late-arriving and restated data, and vendors whose documentation is wrong, • A real instinct for data correctness. You are the kind of engineer who reconciles totals, questions a number that looks plausible, and builds the assertion rather than assuming, • AI-augmented working style - you already use AI tools across your engineering workflow and can talk concretely about what you've got out of them, • Experience developing solutions in the cloud and/or using cloud services, • Excellent communication skills in English, both written and verbal, • Self-organized, goal-oriented and self-motivated; confident, thorough and tenacious, • Experience with cloud or SaaS billing data - AWS/GCP/Azure cost and usage exports, marketplace billing, or the FOCUS specification, • Familiarity with Go, which we use across our backend services, • Experience with systems that carry financial or audit-grade correctness requirements - invoicing, metering, revenue reconciliation, or billing engines, • Exposure to FinOps practices or cloud financial management products, • BA/BS degree or equivalent practical experience Are you a Do'er? Be your truest self. Work on your terms. Make a difference. We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally. What does being a Do'er mean? We're all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our _. Sounds too good to be true? Check out our _. We thought so too, but we're here and happy we hit that 'apply' button. Full-time employee benefits include: • Unlimited Vacation, • Flexible Working Options, • Health Insurance, • Parental Leave, • Employee Stock Option Plan, • Home Office Allowance, • Professional Development Stipend, • Peer Recognition Program Many Do'ers, One Team DoiT unites as Many Do'ers, One Team, where diversity is more than a goal-it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success. #LI-Remote

Remote (UK-based) | Full-Time Reactive Markets is the 2026 OTC Trading Platform of the Year (_). Our network handles over $50 billion in daily trading volumes across FX, Equities, and Cryptocurrency, connecting 40+ of the world's leading liquidity providers. We build trading systems that operate at the edge of what's technically possible — where nanoseconds matter and a dropped message costs real money. Our engineering team is small, senior, and deeply invested in the craft of building cutting edge, reliable, high-performance systems. We're looking for a senior full-stack engineer to build the trading platform our clients use every day. Despite the "frontend" name, this is not a UI-only role — our Frontend team works across the whole application stack in TypeScript and Rust, from the trader-facing interfaces down to the services behind them. It's distinct from our Backend team, who own the low-latency C++/Go trading engine. This is a senior individual contributor role for someone who takes on the hardest problems and delivers them under their own steam. You'll own complex, ambiguous, performance-critical work end-to-end — designed, built, tested, deployed, and supported in production. You lead through code, craft, and mentoring, setting the technical example the rest of the team calibrates to. This is not a role where you write code and throw it over a wall: our engineers own the full lifecycle, and when something breaks, you're part of the team that investigates and fixes it. Occasional hours outside the normal working day are required for production releases, scheduled maintenance windows, and Level 3 support during critical incidents. We keep this to a minimum and recognise the commitment — but owning a production trading platform means being there when it matters. Complex full-stack features in TypeScript and Rust — from trader-facing interfaces to the application services behind them Real-time market-data presentation and high-throughput, low-latency application code across FX, Equities, and Cryptocurrency React and reactive state management (RX, MobX, or similar) for demanding, data-dense trading interfaces Distributed systems and real-time data over REST, WebSockets, and network protocols Architecture and solution design for the hardest technical problems the team faces Observability and monitoring — dashboards, alerting, and metrics that make frontend behaviour visible Production systems that handle real money — reliability is not optional Technical: Strong full-stack engineering ability with deep TypeScript / JavaScript (ES6+) (5+ years) Solid experience with React and reactive state management (RX, MobX, or similar) Real working ability in Rust — it's part of our stack and not optional at this level. If your Rust is still developing, a strong track record of picking up new languages to depth quickly is essential Strong grasp of distributed systems, API design, and real-time data (REST, WebSockets, network protocols such as TCP/UDP and binary protocols) Comfortable reasoning about architecture and making defensible technical trade-offs Python for scripting, automation, and tooling is a bonus Git and Linux fundamentals Experience in financial services or trading technology is a plus but not essential How you work: You ship. You're delivery-focused — you iterate, you improve, you get things into production You run with things. Give you an ambiguous, complex problem and you drive it to done without being managed through it. Senior here means trusted, not just experienced You have range. You're not just strong in the familiar parts of the stack — you pick up the unfamiliar and hold your own on the hardest work You own it. When you build something, you take responsibility for its behaviour in production. You respond to incidents (15-minute acknowledgement SLA during working hours), investigate issues, and close the loop You raise the bar. You review peers' work thoughtfully, mentor the engineers around you through the craft, and set a standard others calibrate to You write things down. Documentation is not an afterthought — it's how we scale knowledge across a distributed team. If it's not written down, it doesn't exist You communicate. We're a distributed team across multiple time zones. Clear, proactive communication — especially when things go wrong — is essential You embrace AI tooling. We use AI tools (Claude, Gemini) to amplify our engineering capability — from code review and debugging to incident investigation and documentation. You don't need to be an expert, but you should be curious and willing to learn Real problems — trading systems where performance is measured in microseconds, not user clicks An excellent team — senior engineers who care about craft, collaborate openly, and hold each other to high standards Ownership — small teams, clear accountability, direct impact on the platform and our clients Competitive package — up to 30 days leave + bank holidays, private health insurance, pension, life insurance, dental/optical cashback, cycle to work, socials and offsites Remote-friendly — work from home with flexibility. We trust our people to deliver Sustainable pace — we work hard, but we don't burn people out. Balance is how we stay sharp Growth — career progression to senior roles, performance specialisation, or technical leadership. We invest in people who invest in us We believe in transparency, honest feedback, and writing things down. We celebrate delivery, not activity. We frame AI as empowering people — removing toil, amplifying capability, enabling higher-value work. We aim to build systems that don't depend on the heroics of individuals to maintain and support — systems and processes that are resilient, documented, and sustainable. We keep our process focused and respectful of your time. Our process follows three stages. Stage 1: Initial Conversation with Talent Acquisition Format: Video call, ~30-45 minutes Stage 2: Hiring Manager Conversation with the relevant team lead or hiring manager Format: Video call, ~60 minutes Stage 3: Technical Interview with two members of the relevant engineering team Format: Video call, interactive session, ~60 minutes What to expect in each stage will be explained by Talent Acquisition if you're invited to interview. Throughout the process, we aim to keep momentum with no unnecessary delays between stages, and feedback typically comes within a few business days. *Please note that depending on availability, Stage 2 and 3 may swap around. Please apply directly via this job posting — all applications, including those submitted via LinkedIn, are managed through our applicant tracking system, so you'll always land in the same place regardless of where you found this role. Right to Work: Candidates must have the existing right to work in the UK. We are not currently able to offer visa sponsorship for this role. Equal Opportunities: Reactive Markets is an equal opportunities employer. We welcome applications from all qualified candidates regardless of age, disability, gender reassignment, marriage or civil partnership, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. Reasonable Adjustments: If you need any adjustments or support during the application or interview process, please let us know — we're happy to accommodate. Data Protection: By applying, you consent to Reactive Markets processing your personal data for recruitment purposes, in line with our . #Hiring #SoftwareEngineering #Frontend #TypeScript #Rust #FinTech #TradingTechnology #RemoteWork #FullStack

Salary: £55,000 - £65,000 per annum Employment type: Permanent Hours per week: 37 Reporting into: Lead Integration Developer Department: IT Click here to read the and view our This role operates primarily on a remote working arrangement that will require little to no travel into our Coventry head office or local campus. Our working model arrangements are a non-contractual benefit so please note that an Arden work location is added to our employment contracts. About Arden University: We are an aspirational and multi-award-winning university, delivering rapid growth with ambitious plans to disrupt the HE sector through our passion for innovation and digital education. Our vision is to become the first-choice university for career-focused lifelong learners worldwide, ensuring that everyone, everywhere can access higher education. There has never been a more exciting time to join Arden University, as we expand into new disciplines, forge worldwide partnerships, and expand our locations. About our Department: This Software Engineer role sits within the Cloud Platform team as part of the wider IT Department. The Team is responsible for the design, development and continuous enhancement of the organisation's middleware solutions and integration services. The wider IT team is made up of around 60 employees with a vast range of skills from Software Development to IT Operations and IT Security. Our IT Department values employee development and we have lots of great examples of employee progression and promotions within the team. About the Opportunity: The role plays a critical part in enabling reliable message delivery, translation and validation between core business platforms through the ownership of a robust, scalable and future proof middleware products. By embedding complex and non-standard requirements within a flexible middleware framework, the role empowers the business to unlock advanced capabilities and realise process improvements that would otherwise be difficult to achieve. Their work drives the organisation’s evolution toward a well-architected, seamlessly integrated ecosystem of products and services. The role also carries operational responsibility for the performance and reliability of the middleware platform in production, including the delivery of secure and compliant integrations that meet internal standards and industry best practices. Working closely with development teams, product managers, and other stakeholders, the Software Engineer (Cloud & Integration) ensures that integration solutions are aligned with both technical objectives and evolving business needs. About You: Essential requirements: Deep working knowledge of relevant AWS services; primarily Lambda, API Gateway, SNS/SQS, S3, DynamoDB, IAM and CloudWatch. Solid understanding of software development principles, including design patterns, architecture, and methodologies - particularly in middleware and service integration. Practical knowledge of event-driven architectures, leveraging services such as SNS, SQS, and Lambda triggers Hands-on experience working in a DevOps environment, utilizing infrastructure as code (IaC), automation, and CI/CD pipelines. Proficiency in writing and debugging code using TypeScript (Node.js) and Python. Experience with monitoring, logging, and observability tools such as Grafana, Prometheus, and AWS CloudWatch. Proficiency with Infrastructure as Code (IaC) tools, particularly AWS CDK and Terraform. Exposure to unit testing, integration testing, and automated test frameworks. Practical experience with Git-based workflows and operational methodologies such as GitOps. Proven experience designing and developing robust, scalable serverless applications in the cloud. Experience integrating with managed databases such as DynamoDB, Amazon RDS (MySQL/PostgreSQL), or similar. Desirable requirements: Experience working within a security framework such as PCI DSS, Cyber Essentials, and ISO 27001, ensuring compliance and security best practices are met. Experience working with agile methodologies, collaborating in sprints, managing releases, and delivering incremental, high-quality software. Hands-on experience with Azure services, including Resource Groups, Service Bus, Azure Logic Apps, Function Apps, API Management. Why Arden: At Arden, you will become a part of a passionate and dedicated team who are committed to removing unnecessary barriers to learning and making education more accessible. Our people work hard to ensure our students journeys are the best they can possibly be, as such we want to reward our people with fantastic benefits. Employees benefit from: 30 days holiday + bank holidays on-top, and even a Christmas closure! A generous Aviva pension plan, company contributions starting from 7% SimplyHealth plan option Private Medical Insurance coverage (applies to certain job roles) Access to Perkbox benefits Study any Arden course for free, with a discount for all family and friends Plus, other _ Our ‘Golden Ticket’ which allows you to gift anyone in your life a free Arden education Our Values: Stand out, Progressive, Accessible, Resourceful, Kindness, reflect who we are as an institution, a team and as individuals. If they also reflect you and you are excited by the chance to be the driving, creative force within a growing business, we want to hear from you. There has never been a more exciting time to join Arden University, as we expand into new disciplines and locations. Closing Date: 20th Aug We reserve the right to close this vacancy before the specified closing date should we receive sufficient applications or in order to respond to business needs. In order to avoid missing an opportunity to apply please submit your application as early as possible. If you are a current Arden student or have an upcoming course with us, you are not eligible to apply for Student Experience roles due to a conflict of interest related to system access. Equity, Diversity & Inclusion: Arden University is proud to be a Disability Confident Employer. This means that if you have a disability, as defined by the Disability Equality Act 2010, you may be guaranteed an interview if you meet the essential criteria for the role. If you wish to be considered under this scheme, you can indicate via the application form below. By doing so, you are also consenting for this information to be shared with the hiring team. For more details on what qualifies as a disability under the Disability Equality Act 2010, please refer to _ here. As an Equal Opportunity Employer we celebrate diversity and are committed to creating a diverse and inclusive workplace. Therefore, we make sure that our recruitment and selection processes never discriminate based upon people's age, disability, gender, race or ethnicity, religion or belief, sexual orientation, or other personal circumstances, and actively welcome applications from all groups. Sponsorship statement: Please be aware that some roles may not meet the points requirement for a sponsored Skilled Worker visa under the points-based immigration system. However, we welcome applications from candidates who do not currently have the right to work in the UK but may be eligible for a visa through an alternative route.

Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Working across multiple programming languages (Python, JavaScript/TypeScript, Rust, SQL, etc. You are ready to learn new methods, able to switch between tasks and topics quickly an

Join us to shape the future of payments technology and regulatory reporting. You will have the opportunity to work with cutting-edge cloud platforms and data engineering tools, making a real impact on our business and your career growth. We value your expertise and encourage you to bring your ideas to a team that thrives on innovation and collaboration. At JPMorganChase, you will be part of a culture that supports diversity, inclusion, and continuous learning. Take the next step in your journey with us and help deliver trusted technology solutions. As a Java Lead Software Engineer at JPMorganChase within the Payments Technology Regulatory Reporting team, you will design and deliver secure, scalable cloud technology products. You will collaborate with agile teams to create solutions that support our business objectives and drive continuous improvement. Your work will span multiple technical areas, allowing you to contribute to both team and firm-wide goals. You will help foster a culture of inclusion, respect, and opportunity while advancing your skills in a dynamic environment. • Execute end-to-end software delivery including design, development, testing, deployment, and technical troubleshooting for Python-based services, batch jobs, and data pipelines, • Write secure, high-quality production Python code with attention to performance, reliability, readability, and testing discipline, • Produce design artifacts for complex workflows covering pipeline orchestration, processing logic, dependency and failure handling, and service-level objectives, • Gather, analyze, and synthesize data to produce reports, metrics, and visualizations that support business and operational insights, • Identify hidden problems and patterns in data and pipeline execution — including data quality issues, drift, anomalies, and bottlenecks — to drive system improvements, • Work individually or as part of a distributed agile team to deliver projects on time with strong ownership and accountability, • Contribute to engineering communities, improve internal libraries and utilities, and evaluate emerging technologies where appropriate, • Leverage enterprise-authorized AI-assisted software development tools to improve code quality, delivery speed, and productivity, while validating outputs through peer review, automated testing, and secure coding standards, • Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation, • Formal training or certification on software engineering concepts and advanced applied experience, • Hands-on experience in system design, Python application development, testing, and operational stability in production environments, • Strong proficiency in Python including data processing, APIs and services, and scripting and automation using common libraries and frameworks relevant to the role, • Experience with data engineering and analytics platforms such as PySpark, Databricks, Airflow, or similar orchestration tools, • Experience with relational databases and SQL; familiarity with NoSQL databases and data modeling concepts, • Knowledge across the data lifecycle including ingestion, validation, transformation, storage, governance and lineage considerations, and consumption patterns, • Ability to develop, debug, and maintain code in large enterprise environments with established controls and standards, • Solid understanding of the Software Development Life Cycle and agile methodologies, • Familiarity with continuous integration and delivery, application resiliency, security best practices, and observability and monitoring, • Hands-on experience using enterprise-authorized AI-assisted software development tools with demonstrated ability to critically evaluate and validate AI-generated outputs, • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs and outputs, and adherence to resiliency and security expectations, • Exposure to cloud technologies including managed data platforms, streaming services, container orchestration, object storage, managed databases, and serverless compute, • Experience with streaming and event-driven systems in payments or financial services contexts, • Familiarity with payment regulatory reporting requirements and associated data workflows #J-18808-Ljbffr

As a GNC/AOCS Engineer at Spire, you will operate as part of a technical team who maintains responsibility across the full lifecycle of the Spire GNC product and its subcomponents. The GNC team interfaces directly with many engineering groups to conduct R&D, design, manufacturing, and operations activities, ultimately ensuring all current and future spacecraft systems satisfy their mission. Ideal candidates will embrace the commercialization of nanosatellite systems and adapt to low-cost, fast-paced systems design, development, and implementation methodologies that set Spire apart from our competition. In this fast-paced environment, the design to launch cycle is measured in weeks and months, not years. • Design, evaluate, select, qualify and implement flight sensors, including magnetometers, sun sensors, inertial measurement devices, Earth sensors, and/or star trackers., • Design, evaluate, select, qualify and implement flight actuators, including magnetic torque elements, reaction wheels, and propulsion systems., • Design, implement and maintain simulation models for GNC subcomponents in our 6-DOF simulation environment., • Technical ownership of current and future GNC avionics peripherals, supporting troubleshooting, design and updates to improve reliability and performance., • Working closely with cross-functional teams, including hardware, software, and systems engineers, to integrate avionics solutions into the larger platform., • Develop component qualification and acceptance processes and be hands-on in laboratory and manufacturing environments., • Experience with flight sensors for spacecraft attitude determination/estimation., • Experience with actuators, including actuator sizing, modelling, design and integration., • A solid foundation in spacecraft attitude dynamics and control algorithms, with emphasis sensor ingestions and actuator command calculation., • Experience working hands-on with HW and familiarity with 'hardware-in-the-loop` simulation., • Experience developing software using C/Python., • Have experience or familiarity with the Linux development environment., • Have experience working with external engineering contractors., • Experience writing flight software., • Experience designing and/or implementing Kalman filters and feedback control for attitude estimation., • Experience with C or C++ development for embedded systems., • Experience with spacecraft design., • Experience with spacecraft assembly, integration, and testing., • Experience with spacecraft operations and maintenance., • Experience identifying and resolving system anomalies., • Experience creating and maintaining integration and test campaigns for attitude determination and control systems, including hardware and software. Spire operates a hybrid work model, and this position will require you to work a minimum of three days per week in the office. Access to US export-controlled software and/or technology may be required for this role. If needed, Spire will arrange the necessary licenses-this is not something candidates need to have before applying. • Name Your Satellite Program (NYSP), • Launch Attendance, • Generous Time Off Policy, • Education Assistance Program, • Employee Assistance Program (EAP), • Employee Stock Purchase Program (ESPP), • Family Leave, • Fitness Reimbursement, • Employee Referral Program, • Healthy snacks & beverages in every office We improve life on Earth with data from space. Spire Global is a space-to-cloud analytics company that owns and operates the largest multi-purpose constellation of satellites. Its proprietary data and algorithms provide the most advanced maritime, aviation, and weather tracking in the world. In addition to its constellation, Spire's data infrastructure includes a global ground station network and 24/7 operations that provide real-time global coverage of every point on Earth. Spire is Global and our success draws upon the diverse viewpoints, skills and experiences of our employees. We are proud to be an equal opportunity employer and are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or veteran status. To help maintain a safe and secure workplace for Spire employees, all candidates who receive a conditional offer will be required to complete a background check. This may include criminal history and employment verification. Please take a moment to review Spire's Global Data Privacy Notice for Employees, Contractors, Candidates and Visitors, as well as Spire's Privacy Policy. Kindly be advised that communication regarding your application may come from @spire.com, @recruiting.spire.com, or from Candidate.fyi (our scheduling tool). #J-18808-Ljbffr

Spire Global is seeking a Software Engineer to join our Satellite Developer Experience (SatDevEx) team to create and expand a software build, test, and deployment framework befitting one of the world’s largest and most dynamic satellite constellations. The SatDevEx team build and maintain the tools and infrastructure that make satellite software development at Spire faster, safer, and more enjoyable. Our products benefit our fellow engineers while unlocking considerable potential in support of wider company initiatives and customer projects. • You’ll collaborate with a highly skilled, multidisciplinary engineering organization to:, • Design and maintain advanced testing frameworks—supporting both virtual and bare-metal hardware environments for internal teams and external customers., • Build and enhance an automated software update pipeline for satellites in orbit., • Identify and eliminate friction points in the satellite software development lifecycle with smart, user-friendly tools and workflows., • Architect and implement the next-generation satellite software framework to support highly resilient and high-performance space systems., • Broad Impact: Your work will support dozens of developers across Spire, directly improving satellite software quality and delivery speed., • Technical Breadth and Depth: From embedded systems to GitOps pipelines, you’ll be exposed to a wide technical spectrum., • Team Autonomy: You’ll be part of a small, self-directed team with the resources and support of a 150+ person engineering organization., • Culture of Automation: We embrace CI/CD, extensive test coverage, and a GitOps-based delivery model, freeing you to focus on solving meaningful problems., • Experience and interest in building infrastructure or tools that support developer productivity., • Strong coding skills and familiarity with testing and observation strategies., • Passion for automation, reliability, scalability, and elegant tooling., • Comfort navigating complex systems, quickly learning and navigating new arenas of code, and collaborating across functions (e.g., software researchers, embedded developers, satellite operators)., • Willingness to provide emergency operational support, fix bugs and maintain existing code., • 4+ years of working experience in software engineering, • Computer science degree or equivalent work experience; experience in the full lifecycle of a software., • Software programming experience and proficiency in at least one of: Rust, Python, • Proficiency in Linux/Unix, Git, Docker and Shell Scripting, • Familiarity with PaaS, IaC, Cloud and CI tools. Examples include AWS, Kubernetes, Terraform, Github Actions, PostgreSQL, Hashicorp Vault, Grafana, Databricks. Spire operates a hybrid work model, and this position will require you to work a minimum of three business days per week in the office. Access to US export-controlled software and/or technology may be required for this role. If needed, Spire will arrange the necessary licenses—this is not something candidates need to have before applying. #LI-MK1 We improve life on Earth with data from space. Spire Global is a space-to-cloud analytics company that owns and operates the largest multi-purpose constellation of satellites. Its proprietary data and algorithms provide the most advanced maritime, aviation, and weather tracking in the world. In addition to its constellation, Spire’s data infrastructure includes a global ground station network and 24/7 operations that provide real-time global coverage of every point on Earth. Spire is Global and our success draws upon the diverse viewpoints, skills and experiences of our employees. We are proud to be an equal opportunity employer and are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or veteran status. To help maintain a safe and secure workplace for Spire employees, all candidates who receive a conditional offer will be required to complete a background check . This may include criminal history and employment verification. #J-18808-Ljbffr

JPMorganChase is one of the world's leading financial services firms, and the technology that powers it demands the highest standards of reliability, performance, and scale. Here, you will work alongside talented engineers who are passionate about building systems that never sleep — and you will have the opportunity to grow your career while solving some of the most complex infrastructure challenges in the industry. We invest in our people, our platforms, and our future — and we want you to be part of it. JPMorganChase is one of the world's leading financial services firms, and the technology that powers it demands the highest standards of reliability, performance, and scale. Here, you will work alongside talented engineers who are passionate about building systems that never sleep — and you will have the opportunity to grow your career while solving some of the most complex infrastructure challenges in the industry. We invest in our people, our platforms, and our future — and we want you to be part of it. As a Lead Site Reliability Engineer at JPMorganChase, you will play a critical role in ensuring the availability, performance, and resilience of production systems that serve millions of customers and clients globally. You will partner with engineering and product teams to embed reliability practices into the software development lifecycle, driving a culture of operational excellence. Your work will directly impact the firm's ability to deliver seamless, uninterrupted services at enterprise scale. • Lead the design and implementation of scalable, reliable, and observable infrastructure solutions that meet the firm's availability and performance standards, • Define and enforce service level objectives, error budgets, and reliability targets in partnership with engineering and product stakeholders, • Drive incident response, root cause analysis, and post-incident reviews to identify systemic improvements and reduce mean time to recovery, • Develop and maintain automation frameworks to eliminate toil, improve deployment pipelines, and accelerate delivery velocity, • Collaborate cross-functionally with software engineering, architecture, and security teams to embed reliability and resiliency principles early in the design process, • Champion observability practices by building and maintaining monitoring, alerting, and dashboarding solutions that provide actionable insights into system health, • Mentor and guide junior engineers, fostering a culture of continuous learning, operational discipline, and engineering excellence, • Evaluate and influence platform and tooling decisions to ensure alignment with reliability, scalability, and security requirements, • Leverage enterprise-authorized AI-assisted engineering practices to improve operational outcomes, including incident triage support, test strategy acceleration, and delivery workflow optimization, while ensuring consistent validation and secure handling of inputs and outputs, • Formal training or certification on site reliability engineering concepts and advanced applied experience, • Hands-on experience designing and operating large-scale distributed systems with a strong focus on availability, fault tolerance, and performance, • Proficiency in one or more programming or scripting languages (e.g., Python, Go, Java, Bash) for automation and tooling development, • Experience defining and managing service level indicators, service level objectives, and error budgets in production environments, • Strong background in observability tooling, including metrics, logging, and distributed tracing platforms, • Demonstrated experience leading incident response processes, conducting blameless post-mortems, and driving systemic reliability improvements, • Experience with container orchestration and infrastructure-as-code practices (e.g., Kubernetes, Terraform, or equivalent), • Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders, • Experience operating in a regulated financial services or similarly complex enterprise environment, • Familiarity with chaos engineering principles and tools used to proactively test system resilience, • Exposure to cloud-native architectures and multi-cloud or hybrid infrastructure environments, • Experience contributing to platform engineering or internal developer tooling initiatives, • Background in capacity planning, performance engineering, or cost optimization at scale J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success. #J-18808-Ljbffr

The Applied Artificial Intelligence and Machine Learning (Applied AI/ML) team within Infrastructure Platforms is transforming how the firm delivers strategic infrastructure platforms-based solutions—both by applying AI/ML within engineering workflows and by building scalable AI hosting platforms and capabilities for enterprise use. As an Applied ML and Generative Lead within J.P.Morgan, you will operate as a hands‑on engineering leader responsible for designing, building, and running production‑grade ML and Generative AI services, while setting technical direction that scales across multiple workstreams. You will remain close to the code and architecture decisions, establish delivery and engineering standards, and ensure solutions meet enterprise expectations for security, stability, and operational rigor. The ideal candidate brings a strong foundation in software engineering and AI/ML, along with proven experience leading the development and production operation of AI‑enabled systems in secure, enterprise environments. In this role, you will collaborate closely with Infrastructure Platforms AI teams to address priority use cases, design and build services, and promote best practices for scalable, resilient, and secure AI adoption. You will also mentor engineers, contribute to firmwide standards and thought leadership, and help ensure the organization stays at the forefront of AI engineering advancements. • Provide hands‑on technical leadership by designing, developing, and deploying ML/LLM/GenAI solutions from concept through production, maintaining ownership for reliability and operability once deployed, • Work closely with product managers, data scientists, ML engineers, and other stakeholders to understand requirements and prioritize use cases., • Develop secure, testable services and libraries that integrate LLMs, tool use, RAG, and agentic workflows., • Build end‑to‑end RAG/Agentic RAG pipelines: chunking and indexing, retrieval tuning, re‑ranking, grounding checks., • Implement optimization strategies to fine‑tune generative models for specific NLP use cases, ensuring high‑quality outputs in summarization and text generation., • Mentor and uplift junior engineers through design reviews, code reviews, pairing, and coaching, raising engineering quality and delivery discipline across the team., • Implement monitoring mechanisms to track AI solution performance in real‑time to ensure reliability and compliance., • Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non‑technical audiences., • Stay informed about the latest trends and advancements in the latest AI/ML/LLM/GenAI research, implement cutting‑edge techniques, and leverage external APIs for enhanced functionality., • Proven delivery of LLM‑enabled applications using agentic patterns, including tool use, orchestration, guardrails, and structured outputs., • Hands‑on experience building and operating MCP integrations reliably in production., • Hands‑on experience on data‑driven software/systems engineering experience delivering production services in secure, regulated environments., • Expertise in Python engineering skills, including production‑grade design, testing, debugging, and performance tuning/optimization., • Advanced prompt engineering capabilities, including system prompts, few‑shot prompting, tool/function calling, and schema‑constrained outputs (e.g., JSON Schema)., • Understanding of agentic AI system layers and concepts, such as context management, harness design, and loop engineering., • Experience building conversational AI solutions, including RAG, Agentic and Graph RAG techniques, • Experience building and scaling AI/ML workloads using distributed training/serving frameworks (e.g., Ray) and GPU acceleration (e.g., CUDA) environments., • Proficiency with modern AI system architectures and patterns, including RAG, agentic RAG, and multi‑agent systems., • Familiarity with LLM evaluation methodologies across quality, safety, and reliability, including guardrails, content filtering, and Responsible AI practices., • Proficiency in GenAI/agentic AI engineering practices, including data sensitivity, secure handling of inputs/outputs, and adherence to resiliency and security requirements, • Demonstrated success driving adoption of enterprise‑approved AI‑assisted engineering tools (coding, review, testing, troubleshooting, • Financial Services industry experience, • Understanding of Finops for LLMs, • Good to have Java programming experience J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first‑class business in a first‑class way approach to serving clients drives everything we do. We strive to build trusted, long‑term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Join a specialist team as Lead AI/ML Engineer building reusable AI/ML components to accelerate product delivery. #J-18808-Ljbffr

Spire Global is seeking a Software Engineer to join our Satellite Developer Experience (SatDevEx) team to create and expand a software build, test, and deployment framework befitting one of the world’s largest and most dynamic satellite constellations. The SatDevEx team build and maintain the tools and infrastructure that make satellite software development at Spire faster, safer, and more enjoyable. Our products benefit our fellow engineers while unlocking considerable potential in support of wider company initiatives and customer projects. • You’ll collaborate with a highly skilled, multidisciplinary engineering organization to:, • Design and maintain advanced testing frameworks—supporting both virtual and bare-metal hardware environments for internal teams and external customers., • Build and enhance an automated software update pipeline for satellites in orbit., • Identify and eliminate friction points in the satellite software development lifecycle with smart, user-friendly tools and workflows., • Architect and implement the next-generation satellite software framework to support highly resilient and high-performance space systems., • Broad Impact: Your work will support dozens of developers across Spire, directly improving satellite software quality and delivery speed., • Technical Breadth and Depth: From embedded systems to GitOps pipelines, you’ll be exposed to a wide technical spectrum., • Team Autonomy: You’ll be part of a small, self-directed team with the resources and support of a 150+ person engineering organization., • Culture of Automation: We embrace CI/CD, extensive test coverage, and a GitOps-based delivery model, freeing you to focus on solving meaningful problems., • Experience and interest in building infrastructure or tools that support developer productivity., • Strong coding skills and familiarity with testing and observation strategies., • Passion for automation, reliability, scalability, and elegant tooling., • Comfort navigating complex systems, quickly learning and navigating new arenas of code, and collaborating across functions (e.g., software researchers, embedded developers, satellite operators)., • Willingness to provide emergency operational support, fix bugs and maintain existing code., • 4+ years of working experience in software engineering, • Computer science degree or equivalent work experience; experience in the full lifecycle of a software., • Software programming experience and proficiency in at least one of: Rust, Python, • Proficiency in Linux/Unix, Git, Docker and Shell Scripting, • Familiarity with PaaS, IaC, Cloud and CI tools. Examples include AWS, Kubernetes, Terraform, Github Actions, PostgreSQL, Hashicorp Vault, Grafana, Databricks. Spire operates a hybrid work model, and this position will require you to work a minimum of three business days per week in the office. Access to US export-controlled software and/or technology may be required for this role. If needed, Spire will arrange the necessary licenses—this is not something candidates need to have before applying. #LI-MK1 We improve life on Earth with data from space. Spire Global is a space-to-cloud analytics company that owns and operates the largest multi-purpose constellation of satellites. Its proprietary data and algorithms provide the most advanced maritime, aviation, and weather tracking in the world. In addition to its constellation, Spire’s data infrastructure includes a global ground station network and 24/7 operations that provide real-time global coverage of every point on Earth. Spire is Global and our success draws upon the diverse viewpoints, skills and experiences of our employees. We are proud to be an equal opportunity employer and are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or veteran status. To help maintain a safe and secure workplace for Spire employees, all candidates who receive a conditional offer will be required to complete a background check. This may include criminal history and employment verification. For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. As set forth in Spire’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows: A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service‑connected disability. A "recently separated veteran" means any veteran during the three‑year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service. An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense. An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985. #J-18808-Ljbffr

We’re seeking someone to join our Data Obfuscation team as a Full Stack Developer – Data Engineering to design and deliver scalable, secure, and reusable data platforms and services that support enterprise data protection and obfuscation initiatives. In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Cybersecurity Engineering position at Associate level, which is part of the job family responsible for monitoring, detecting, and responding to security incidents to ensure the organization's systems and data are protected from actual and potential threats or breaches. Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. Design and develop resilient on-prem and multi-cloud database solutions with Java, Spring Boot, Angular, and Python Develop high-performance solutions that efficiently handle large-scale data and metadata operations leveraging Python’s threading and multiprocessing libraries and ensure robust error handling and resource management in parallel execution environments. Deliver secure, high-performance and efficient database and ETL capabilities using Java Collections Framework, data structures, algorithms, and object-oriented design principles, while ensuring scalability, governance, and reliability. Design and develop full-stack applications, including responsive web user interfaces, RESTful APIs, backend services, and integrations with database and ETL platforms. Build self-service capabilities, operational dashboards, workflow automation, and metadata-driven solutions using modern web technologies and microservices architectures. Develop AI-driven solutions to discover, classify, and protect sensitive information within unstructured data, leveraging advanced natural language processing and automated data masking techniques Design and build automations and tooling to enable firmwide data engineering and application development teams, helping them optimize data processing based on their specific database platforms and user needs. Contribute to strategic initiatives around system modernization, platform standardization, observability, and cost efficiency. Design, develop, and maintain innovative scalable solutions to optimize complex data pipelines, including ETL processes. Develop solutions leveraging database backup and restore methods, DDL generation and manipulation, database access management, schema and object-level high-performance data movement. Build solutions with pushdown optimization, ELT, Spark-based data processing and streaming, replication, partitioning, clustering, change data capture, and time travel. At least 4 years’ relevant experience would generally be expected to find the skills required for this role. Proven track record in designing and implementing complex database and data solutions with full stack application development. Strong expertise in database/data engineering across multiple database platforms and environments (e.g., PostgreSQL, DB2, SQL Server, Sybase, Snowflake, Azure SQL, MongoDB, Teradata, Oracle, etc.). Hands-on experience developing full-stack applications using Java/Spring Boot, Python, REST APIs, and Angular. Strong understanding of API design, microservices architecture, authentication mechanisms (OAuth, service principals, token-based authentication), and secure application development practices. 2+ years of expertise in writing complex Python scripts, with a particular focus on building and optimizing multi-threaded, multi-process, concurrent, and asynchronous solutions. Experience with distributed computing tools (such as Apache Spark for Python) is a plus. Good to have experience in designing and developing AI-powered solutions using Large Language Models (LLMs), retrieval-augmented generation (RAG), and agentic workflows. Extensive experience building and optimizing data pipelines and data architectures (preferred using Talend, Kafka, and/or Informatica). Expertise in performance optimization, scalability, troubleshooting, analytical problem-solving, and software design. Bachelor’s degree in Computer Science, Engineering, a related field or equivalent experience. At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste about-us/global-offices into your browser. If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks. Flexible work statement Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more. Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents. Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences. For more information, please visit: people-opportunities/eeo. #J-18808-Ljbffr

Join us as a Data Engineer and help drive data innovation at JPMorganChase. You will collaborate with talented colleagues to deliver impactful solutions that power AI and analytics initiatives across the firm. We value your expertise, encourage growth, and support your journey to make a lasting impact. Experience a culture that celebrates diverse perspectives and fosters continuous learning. Job Summary: As a Data Engineer in the Corporate Technology team supporting CIO, Treasury & Corporate Risk Management, you will enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You will maintain critical data pipelines and architectures across multiple technical areas, supporting the firm's business objectives. Your work will drive innovation, operational excellence, and team success, contributing to a collaborative culture that values your ideas and technical skills. Job Responsibilities: • Make data available for AI and analytics initiatives, working closely with use case owners to define requirements, manage product dependencies, and support agile routines that oversee cross-product data dependencies and prioritize delivery, • Collaborate with business, technology, and operations partners to understand data requests and accelerate provisioning through deployment of "AI for Data", • Drive adoption of AI-assisted development tools (e.g., Claude Code, Copilot) to accelerate delivery and improve developer productivity, • Partner with business and technology teams to rapidly prototype and deploy analytics and tooling, leveraging AI/ML and innovative approaches, • Implement and manage platform controls, including access, security, and compliance, ensuring all data and AI solutions meet firmwide SDLC standards, • Identify the lineage and provenance of critical data assets to support governance, regulatory, and business requirements; embed evergreen controls on data flows to improve safety, transparency, and traceability, • Drive insight into areas of efficiency and risk through consolidation and reengineering of data flows, • Develop proactive controls to reduce the time from data quality issue identification to resolution, improving client experience and driving operational efficiency, • Demonstrate control environment improvements and reduction in toil through common tooling and frameworks; uplift the metadata (semantic layer) of existing data to support AI and Natural Language Query (NLQ) usage, accelerate adoption of Mesh data architecture, reduce consumer friction, and deliver data product prototypes, • Uses enterprise-authorized AI capabilities within the work environment to accelerate data platform and model design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements, • Applies reuse-first, AI-assisted practices within delivery and operational routines (e.g., backup/recovery validation and access control review support), ensuring traceability/auditability and alignment to resiliency and security expectations Required Qualifications, Capabilities, and Skills: • Formal training or certification on software engineering concepts, • Experience and awareness in working within Risk Analytics space; preferred knowledge of corporate bond investment assets and structured credit products such as securitisation (e.g., CLO, CMBS, RMBS, ABS), • Proven experience integrating AI-assisted development tools (e.g., Claude Code, Copilot, or similar) into engineering workflows, • Experience in strategic or transformational change initiatives, including data governance, data quality, or analytics transformation programs, • Strong technical skills in data profiling, analysis, and data management using modern tools and environments (Python, R, SQL, Spark, DataBricks, cloud platforms), • Understanding of data lineage concepts and experience with lineage analysis, metadata management, and data cataloguing, • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity, • Ability to review and validate AI-assisted outputs (e.g., code, model/design summaries or operational checklists) before use, escalating when uncertain and following data handling requirements, • Hands-on practical experience delivering system design, application development, testing, and operational stability Preferred Qualifications, Capabilities, and Skills: • Hands-on experience with data lineage tools and techniques, including graph & vector databases and metadata management platforms, • Hands-on experience with LLM Ops, MLOps, and AI/ML platform deployment at scale, • Familiarity with business-led analytics delivery models and rapid prototyping frameworks, • Experience with AI/ML governance, prompt engineering, and integrating AI tools into SDLC, • Experience with AI/ML technologies and their application to data management challenges (e.g., automated data profiling, metadata enrichment), • Understanding of agile and product management methodologies and experience working in agile teams, • Excellent interpersonal skills and ability to build strong working relationships with business, technology, and control stakeholders across global teams J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Are you ready to make a real impact with your software and data engineering skills? At JPMorganChase, you’ll join a collaborative team where your ideas drive innovation and growth. We empower you to build secure, scalable solutions using the latest technologies. Here, you’ll have the opportunity to develop your expertise, work with diverse data sets, and shape the future of financial technology. Let's build what's next - together. #J-18808-Ljbffr

As a Lead Software Engineer – Python or Java with AI at JPMorgan Chase you will help design and build the core systems for our source code intelligence platform. You will work on distributed indexing and search infrastructure, multi-language semantic and AST analysis, and interfaces that enable AI agents to query the platform for standards‑compliant code. In this hands‑on technical lead role, you will write code daily across our JVM and systems-language stack, set technical direction for a small team, and directly influence how a regulated financial enterprise scales software development with AI. You will collaborate with talented colleagues and contribute to a culture of excellence and innovation. • Lead the design and development of backend systems using Python or Java, • Build and enhance distributed indexing and search infrastructure for source code intelligence, • Develop multi-language semantic and AST analysis capabilities, • Create interfaces for AI agents to query and validate code, • Apply AI techniques to enable large-scale code search, vulnerability discovery, and SDLC automation, • Streamline engineering processes to improve productivity and quality, • Collaborate with cross-functional teams to deliver robust solutions, • Ensure adherence to best practices in industrial hygiene and software engineering, • Mentor and guide junior engineers, • Evaluate and integrate emerging technologies, including Claude AI capabilities, • Drive continuous improvement in development workflows and foster an inclusive and innovative team culture, • Proficiency in Python or Java for backend development, • Strong understanding of AI concepts and practical application, • Experience with distributed systems architecture, • Ability to design and optimize data models and data structures, • Demonstrated skill in streamlining engineering processes, • Knowledge of industrial hygiene principles in software environments, • Experience integrating Claude AI or similar advanced AI tools, • Effective collaboration and communication skills, • Commitment to inclusive and diverse team practices, • Ability to mentor and support team members, • Strong problem-solving and analytical abilities, • Experience leading software engineering teams, • Familiarity with cloud platforms and microservices, • Advanced knowledge of backend frameworks and tools, • Experience with real‑time data processing and streaming, • Background in security engineering, distributed systems, or program analysis, • Exposure to DevOps practices and automation, • Passion for continuous learning and innovation J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long‑term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success. #J-18808-Ljbffr

Join us to shape the future of payments technology and regulatory reporting. You will have the opportunity to work with cutting-edge cloud platforms and data engineering tools, making a real impact on our business and your career growth. We value your expertise and encourage you to bring your ideas to a team that thrives on innovation and collaboration. At JPMorganChase, you will be part of a culture that supports diversity, inclusion, and continuous learning. Take the next step in your journey with us and help deliver trusted technology solutions. Join us to shape the future of payments technology and regulatory reporting. You will have the opportunity to work with cutting-edge cloud platforms and data engineering tools, making a real impact on our business and your career growth. We value your expertise and encourage you to bring your ideas to a team that thrives on innovation and collaboration. At JPMorganChase, you will be part of a culture that supports diversity, inclusion, and continuous learning. Take the next step in your journey with us and help deliver trusted technology solutions. As a Java Lead Software Engineer at JPMorganChase within the Payments Technology Regulatory Reporting team, you will design and deliver secure, scalable cloud technology products. You will collaborate with agile teams to create solutions that support our business objectives and drive continuous improvement. Your work will span multiple technical areas, allowing you to contribute to both team and firm-wide goals. You will help foster a culture of inclusion, respect, and opportunity while advancing your skills in a dynamic environment. • Execute end-to-end software delivery including design, development, testing, deployment, and technical troubleshooting for Python-based services, batch jobs, and data pipelines, • Write secure, high-quality production Python code with attention to performance, reliability, readability, and testing discipline, • Produce design artifacts for complex workflows covering pipeline orchestration, processing logic, dependency and failure handling, and service-level objectives, • Gather, analyze, and synthesize data to produce reports, metrics, and visualizations that support business and operational insights, • Identify hidden problems and patterns in data and pipeline execution — including data quality issues, drift, anomalies, and bottlenecks — to drive system improvements, • Work individually or as part of a distributed agile team to deliver projects on time with strong ownership and accountability, • Contribute to engineering communities, improve internal libraries and utilities, and evaluate emerging technologies where appropriate, • Leverage enterprise-authorized AI-assisted software development tools to improve code quality, delivery speed, and productivity, while validating outputs through peer review, automated testing, and secure coding standards, • Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation, • Formal training or certification on software engineering concepts and advanced applied experience, • Hands-on experience in system design, Python application development, testing, and operational stability in production environments, • Strong proficiency in Python including data processing, APIs and services, and scripting and automation using common libraries and frameworks relevant to the role, • Experience with data engineering and analytics platforms such as PySpark, Databricks, Airflow, or similar orchestration tools, • Experience with relational databases and SQL; familiarity with NoSQL databases and data modeling concepts, • Knowledge across the data lifecycle including ingestion, validation, transformation, storage, governance and lineage considerations, and consumption patterns, • Ability to develop, debug, and maintain code in large enterprise environments with established controls and standards, • Solid understanding of the Software Development Life Cycle and agile methodologies, • Familiarity with continuous integration and delivery, application resiliency, security best practices, and observability and monitoring, • Hands-on experience using enterprise-authorized AI-assisted software development tools with demonstrated ability to critically evaluate and validate AI-generated outputs, • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs and outputs, and adherence to resiliency and security expectations, • Exposure to cloud technologies including managed data platforms, streaming services, container orchestration, object storage, managed databases, and serverless compute, • Experience with streaming and event-driven systems in payments or financial services contexts, • Familiarity with payment regulatory reporting requirements and associated data workflows J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. #J-18808-Ljbffr

Drive reliability at scale — join a team where your engineering expertise shapes the resilience of critical systems. JPMorganChase is one of the world's leading financial services firms, and the technology that powers it demands the highest standards of reliability, performance, and scale. Here, you will work alongside talented engineers who are passionate about building systems that never sleep — and you will have the opportunity to grow your career while solving some of the most complex infrastructure challenges in the industry. We invest in our people, our platforms, and our future — and we want you to be part of it. As a Lead Site Reliability Engineer at JPMorganChase, you will play a critical role in ensuring the availability, performance, and resilience of production systems that serve millions of customers and clients globally. You will partner with engineering and product teams to embed reliability practices into the software development lifecycle, driving a culture of operational excellence. Your work will directly impact the firm's ability to deliver seamless, uninterrupted services at enterprise scale. • Lead the design and implementation of scalable, reliable, and observable infrastructure solutions that meet the firm's availability and performance standards, • Define and enforce service level objectives, error budgets, and reliability targets in partnership with engineering and product stakeholders, • Drive incident response, root cause analysis, and post-incident reviews to identify systemic improvements and reduce mean time to recovery, • Develop and maintain automation frameworks to eliminate toil, improve deployment pipelines, and accelerate delivery velocity, • Collaborate cross-functionally with software engineering, architecture, and security teams to embed reliability and resiliency principles early in the design process, • Champion observability practices by building and maintaining monitoring, alerting, and dashboarding solutions that provide actionable insights into system health, • Mentor and guide junior engineers, fostering a culture of continuous learning, operational discipline, and engineering excellence, • Evaluate and influence platform and tooling decisions to ensure alignment with reliability, scalability, and security requirements, • Leverage enterprise-authorized AI-assisted engineering practices to improve operational outcomes, including incident triage support, test strategy acceleration, and delivery workflow optimization, while ensuring consistent validation and secure handling of inputs and outputs, • Formal training or certification on site reliability engineering concepts and advanced applied experience, • Hands‑on experience designing and operating large‑scale distributed systems with a strong focus on availability, fault tolerance, and performance, • Proficiency in one or more programming or scripting languages (e.g., Python, Go, Java, Bash) for automation and tooling development, • Experience defining and managing service level indicators, service level objectives, and error budgets in production environments, • Strong background in observability tooling, including metrics, logging, and distributed tracing platforms, • Demonstrated experience leading incident response processes, conducting blameless post‑mortems, and driving systemic reliability improvements, • Experience with container orchestration and infrastructure‑as‑code practices (e.g., Kubernetes, Terraform, or equivalent), • Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders, • Experience operating in a regulated financial services or similarly complex enterprise environment, • Familiarity with chaos engineering principles and tools used to proactively test system resilience, • Exposure to cloud‑native architectures and multi‑cloud or hybrid infrastructure environments, • Experience contributing to platform engineering or internal developer tooling initiatives, • Background in capacity planning, performance engineering, or cost optimization at scale J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first‑class business in a first‑class way approach to serving clients drives everything we do. We strive to build trusted, long‑term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Drive reliability at scale — join a team where your engineering expertise shapes the resilience of critical systems. #J-18808-Ljbffr

At Madison Logic, we turn buyer uncertainty into confident action. Using data-driven insights and strategic expertise, we help marketers align every decision‑maker, in every buying group, at every stage of the journey. We meet buyers wherever they are, navigating today’s non‑linear decision paths to keep marketers ahead. By combining data‑rich strategy with multi‑channel activation, we show B2B marketers and their agency partners not just what works, but why it works, so growth is accelerated with clarity and purpose. When ambitious marketers connect with their most elusive buyers to achieve ambitious growth targets, something extraordinary happens. It’s not magic. It’s not just logic. It’s Madison Logic. • Access to competitive compensation & benefits that reward your contributions., • Participation in employee recognition programs to celebrate achievements big and small., • Exposure to professional development & learning initiatives to help you build your own path., • Foundation built on values anchored in Accountability, Team, Urgency, Respect, Integrity, and Innovation., • Opportunities for global exposure work alongside talented colleagues across India, Singapore, the UK, and the US, expanding your perspective and network., • Invitations to yearly team offsites to connect, collaborate, and strengthen relationships in person., • Leverage a lifestyle spending account benefit so you can choose your own wellness and work‑from‑home perks., • Our aspiration: A culture where every person feels confident navigating their unique path and inspired to grow every step of the way., • Our support: Meeting you where you are, empowering your growth with clarity, support, and purpose., • Our promise: Your growth is yours to lead, but never a journey you take alone., • Demonstrate and champion a high performance DevX culture and practices, exerting technical influence throughout your team and the wider company., • Collaborate with cross‑functional Product teams to align deployment pipelines with organizational goals., • Contribute to a culture where automation, tooling and documentation is the norm., • Deploy and manage containerised applications onto our AWS Lambda and AWS Fargate serverless stack., • Integrate system monitoring and security best practices throughout the SDLC., • Professional experience with at least two of the following programming languages - NodeJS, Golang, Python, Java, • Experience with IaC tools including Terraform, • Strong understanding of EKS (Kubernetes), • Strong understanding of Observability frameworks and providers, particularly Grafana and Loki, • Strong understanding of security best practices effecting the SDLC, • Excellent problem‑solving skills and attention to detail, • Excellent communication skills being able to explain complex platform concepts to both engineers and business users, • You care about building reliable, well‑tested systems and thrive in a culture of review and improvement, • You have played a key role in the design, implementation, and deployment of several successful systems, • You have innovated, mentored, and inspired your team to maintain a healthy and sustainable culture for delivery If you’re excited about helping clients succeed, love the idea of working at the forefront of marketing innovation, and want to be part of a team where integrity, respect, innovation, urgency, and accountability aren’t just words — they’re how we show up every day — then let’s talk. We offer a mix of remote and hybrid working. Remote work arrangements are not available for all positions. Hybrid work is required for employees local to our offices. Where applicable, hybrid WFH days work must be conducted from your home office located in a jurisdiction in which Madison Logic has the legal right to operate. WFH requires availability and responsiveness on a full‑time basis from a distraction‑free environment with access to high‑speed internet. Please inquire for more details. We are committed to paying our team equitably for their work, commensurate with their individual skills and experience. Salary Range and additional compensation, including discretionary bonuses and incentive pay, are determined by a rigorous review process taking into account the experience, education, certifications and skills required for the specific role, equity with similarly situated team members, as well as employer‑verified region‑specific market data provided by an independent 3rd party partner. We will provide more information about our perks & benefits upon request. Madison Logic is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of sex, race, color, religion, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. #J-18808-Ljbffr

Capgemini is seeking a Spark AWS Data Engineer in Glasgow, Scotland, offering a salary of £47,037.09. This full-time Tech role is ideal for UK-based applicants with existing right-to-work, though foreign applicants are encouraged to enquire directly with the employer regarding eligibility. The position offers hybrid working, blending office and remote work for flexibility. This role involves designing, building, and maintaining scalable data pipelines, data lakes, and data warehouse solutions specifically on AWS. You will be at the forefront of developing high-performance data engineering solutions. The focus is on utilising PySpark, Spark, Python, and various AWS services to enable secure, reliable, and efficient data processing and analytics across enterprise platforms. This position is crucial for enhancing data capabilities within Capgemini's extensive operations. • Proven experience in designing, building, and maintaining scalable data pipelines., • Strong proficiency with PySpark, Spark, and Python., • Extensive experience with AWS services, particularly those related to data engineering., • Ability to develop high-performance data solutions for enterprise platforms., • Understanding of data lakes and data warehouse solutions., • Applicants must possess existing right-to-work in the UK., • Competitive salary of £47,037.09., • Opportunity to work with cutting-edge AWS data technologies., • Hybrid working model offering flexibility., • Be part of a global leader in consulting, technology services, and digital transformation., • Professional development and career growth opportunities within Capgemini. Visa sponsorship is NOT explicitly advertised for this role. The employer prefers UK-based applicants who already possess the existing right-to-work. Foreign applicants (non-UK residents) may still apply but should clearly confirm their eligibility and visa status directly with Capgemini during the application process to avoid misunderstandings. #J-18808-Ljbffr

"Lead hydrology projects that protect communities and shape the future of water!" At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations. There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world. We're one global team driven by our common purpose to deliver a better world. Join us. “Are you ready to join a team of hydrologists and shape the future of the Water Industry?” Join our dynamic and multidisciplinary Water Team as an Associate Hydrologist. You can be based in one of our UK or Ireland offices whilst also taking advantage of our flexible hybrid working model. You will be a key player in delivering impactful water projects across the UK and internationally. You will lead hydrological assessments that inform flood risk management, major infrastructure planning, water resources strategy, and environmental permitting. This is a senior role combining technical excellence, client engagement, project oversight, and team leadership within a growing water team. • Technically lead or verify flood hydrological assessments which are assisting the design of flood alleviation schemes, reservoir engineering and flood risk assessments., • Technically review or verify reports documenting hydrological assessments., • Support the wider Water team in business development activities for a wide range of clients on national and international projects., • Mentor staff within the team in hydrological estimation to support their professional development, • Build relationships with clients and across other technical disciplines, • Keep up-to-date with developments in legislation and guidelines that may affect our services and share them with the team., • Deliver thought leadership and represent AECOM at conferences to showcase our expertise., • Drive innovation within the team to deliver our projects efficiently and right first-time, including the development and enablement of AI solutions., • Be an active member of our global community of hydrologists via our TechEx network. If you're passionate about innovation and turning bold ideas into reality, AECOM welcomes you. Join our team, where we don't just construct infrastructure but also uplift communities and enhance lives. Why not give our AECOM Water page on LinkedIn a follow to stay updated on the impactful projects we're working on and see firsthand the difference we're making in the industry! Become part of our dynamic Water business, which boasts around 600 experts across the UK & Ireland. Collaborate with top-tier engineers and consultants to deliver a variety of captivating projects, from small initiatives to large-scale ventures, all the way from concept to completion. At AECOM, you’ll thrive in an inclusive and forward-thinking environment where your contributions are valued - and let's not forget about the perks! You'll enjoy a range of core and personalised benefits designed to support your future and well-being, customised to fit your lifestyle. Take advantage of career development opportunities, technical practice networks, AECOM University, volunteering days and our flexible hybrid working model to ensure a work-life balance that suits your lifestyle. We recognise that everyone’s circumstances are different, so we’re happy to discuss part-time or flexible working arrangements that suit you. • Be part of a dynamic team that tackles challenging and impactful water projects., • Work alongside industry-leading professionals and thought leaders., • Engage in a collaborative and inclusive work environment., • Access to continuous learning and development opportunities., • Competitive salary and comprehensive benefits package., • Enjoy the flexibility to work in a way that fits your lifestyle while supporting a healthy work-life balance., • Degree (BSc/BEng/MSc) in Hydrology, Civil Engineering, Environmental Science, Geography, or a related discipline., • Evidence of significant experience (more than 15 years) in leading the estimation of flood flows using FEH and REFH2 for flood mapping reservoir engineering., • Deep understanding of statistical hydrological analysis., • Demonstration of working with hydraulic modellers to calibrate hydraulic models., • Experience in rating reviews., • An established presence and network in the industry which is demonstrated through active engagement activities on linkedin and or presentations., • Strong leadership and communicative skills with the ability to develop and maintain working relationships with colleagues and clients., • Bachelor's degree (or equivalent) in Civil Engineering or other relevant discipline, • Chartered member of ICE or CIWEM, • Strong GIS skills using QGIS, ArcGIS and / or MapInfo., • Practical knowledge of scripting programmes such as R, Python, Anaconda, Ruby would be advantageous., • Familiarity with Hydrology+., • Experience of leading low-flow analysis studies for WINEP projects would be advantageous. You will also be self‑motivated with an ability to work both autonomously where required, with a strong sense of commitment, a willingness to learn and a desire to work in a dynamic deadline driven team environment. At AECOM, we believe in creating a better world through innovative and sustainable solutions. If you share our vision and are ready to make a difference in the nuclear industry, we want to hear from you. We celebrate diversity, including neurodiversity, and believe it enriches our team. We welcome applications from all backgrounds and abilities. If you are an applicant with a disability that requires reasonable accommodation to complete the application process, please contact us at . At AECOM, we value everyone's unique contributions and perspectives. If you meet some of the requirements above or have transferable skills you believe would benefit us, we would be delighted to hear from you! At AECOM, we are committed to maintaining a secure and trustworthy recruitment process and take any fraudulent hiring activity seriously. To support this commitment, all newly hired employees are required to attend an in-person Day 1 onboarding at an AECOM office location as a condition of employment. About AECOM is the world’s trusted infrastructure consulting firm, delivering professional services throughout the project lifecycle – from advisory, planning, design and engineering to program and construction management. On projects spanning transportation, buildings, water, new energy and the environment, our public- and private-sector clients trust us to solve their most complex challenges. Our teams are driven by a common purpose to deliver a better world through our unrivaled technical and digital expertise, a culture of equity, diversity and inclusion, and a commitment to environmental, social and governance priorities. AECOM is a Fortune 500 firm and its Professional Services business had revenue of $16.1 billion in fiscal year 2025. See how we are delivering sustainable legacies for generations to come at aecom.com and @AECOM. Freedom to Grow in a World of Opportunity. You will have the flexibility you need to do your best work with hybrid work options. Whether you’re working from an AECOM office, remote location or at a client site, you will be working in a dynamic environment where your integrity, entrepreneurial spirit and pioneering mindset are championed. You will help us foster a safe and respectful workplace, where we invite everyone to bring their whole selves to work using their unique talents, backgrounds and expertise to create transformational outcomes for our clients. AECOM provides a wide array of compensation, benefits and well-being programs to meet the diverse needs of our employees and their families. We’re the world’s trusted global infrastructure firm, and we’re in this together – your growth and success are ours too. Join us, and you’ll get all the benefits of being a part of a global, publicly traded firm – access to industry-leading technology and thinking and transformational work with big impact and work flexibility. As an Equal Opportunity Employer, we believe in each person’s potential, and we’ll help you reach yours. We are a Disability Confident Employer and will offer an interview to applicants who have a disability or long-term condition, who meet the minimum/essential criteria for the role. Please let us know using this email address if you would like to apply through the Disability Confident Interview Scheme. All your information will be kept confidential according to EEO guidelines. ReqID: J10154587 Business Line: Water Business Group: DCS Strategic Business Unit: Europe & India Career Area: Science Work Location Model: Hybrid #J-18808-Ljbffr

Location: Glasgow (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent Engineer future-ready data platforms that power financial transformation. We’re looking for a Senior Data Engineer with AWS to join our growing team of engineering experts driving next-gen transformation for Tier 1 financial services clients. You’ll play a pivotal role in designing, building, and deploying cloud-based data pipelines. Working across greenfield projects and enterprise-scale platforms, your work will directly impact the way data is ingested, transformed, and served at scale across the financial services industry. This role will sit in our Scotland office, with a need to potentially work in either Glasgow or Edinburgh depending on client expectations. • Design and build end-to-end data pipelines leveraging AWS-native tools and modern data architectures., • Collaborate with clients to gather requirements, define solutions, and deliver production-grade systems., • Apply AWS Well-Architected Principles to ensure scalability, security, and resilience., • Lead in the development of robust, tested, and fault-tolerant data engineering solutions., • Support and mentor junior engineers, contributing to knowledge sharing across the team., • Proficient in one of Python, Scala or Java with strong experience in Big Data technologies such as: Spark, Hadoop etc., • Practical knowledge of building real-time event streaming pipelines (e.g., Kafka, Spark Streaming, Kinesis)., • Proficiency in AWS cloud environments., • Proven experience developing modern data architectures including Data Lakehouse and Data Warehousing., • A solid understanding of CI/CD practices, DevOps tooling, and data governance including GDPR., • Expertise in Data Modelling, schema design, and handling both structured and semi-structured data., • Familiarity with distributed systems such as Hadoop, Spark, HDFS, Hive, Databricks., • Exposure to AWS Lake Formation and automation of ingestion and transformation layers., • Background in delivering solutions for highly regulated industries., • Passion for mentoring and enabling data engineering best practices across teams., • Deliver high-impact technology solutions for Tier 1 financial institutions, • Work in a collaborative, flat, and entrepreneurial consulting culture, • Access continuous learning, training, and industry certifications, • Be part of a team shaping the future of digital financial services, • Help shape the future of digital transformation across FS & Energy, • Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover., • Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders., • Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement., • Family Care: 8 complimentary backup care sessions for emergency childcare or elder care., • Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs., • Continuous Learning: Minimum 40 Hours of Training Annually: Take your pick—workshops, certifications, e-learning—your growth, your way. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development., • Healthcare Access: Convenient online GP services., • Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance. We’re committed to a barrier-free, inclusive recruitment process. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We welcome applicants from all backgrounds. At Capco, we value the difference you make, and the differences that make you. Our #BeYourselfAtWork culture champions diversity, equity and inclusivity, and we bring a collaborative mindset to our partnerships with clients and colleagues. #BeYourselfAtWork is the cornerstone of our success and a value that our employees live and breathe every day. #LI-DNI #J-18808-Ljbffr

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client’s challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client’s challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Our AI Platform Engineering Senior Consultants sit within AI & Digital Factory, part of the Business Technology practice in Capgemini Invent, which leads digital transformation projects across Capgemini. We are a dynamic community that values innovation, professional development, and the ability to make a real difference for our clients. As an AI Platform Engineer, you’ll design, build, and operate the infrastructure that enterprise AI and Generative AI workloads run on: the platform layer beneath LLMs, agents, and MLOps pipelines. This spans GPU-accelerated compute and container platforms, model serving and gateway infrastructure, evaluation and guardrail systems, and the MLOps/LLMOps tooling that takes a model from experiment to production. You’ll work across hybrid and multi-cloud environments, helping clients modernize their AI infrastructure and adopt AI safely and at scale. • Be a senior or lead engineer on client AI platform engagements, • Architect and deploy AI-ready infrastructure (GPU-accelerated compute, Kubernetes/OpenShift, and cloud-native services) across cloud, on-premises, and hybrid environments, • Build and operate core AI platform components: model serving and gateway infrastructure, agent orchestration and tool-calling frameworks, evaluation harnesses, and guardrail/governance layers, • Implement MLOps and LLMOps pipelines (model deployment, monitoring, retraining, and fine-tuning where relevant) using Infrastructure-as-Code, GitOps, and CI/CD, • Establish observability, security, and governance frameworks specific to AI systems, including cost attribution and lifecycle management, • Work with clients and internal teams to develop new opportunities and shape a strong AI platform engineering culture, • Lead client workshops, architecture reviews, and technical briefings; provide operational support including monitoring and troubleshooting, • Share your knowledge and experience with colleagues as you coach and mentor them, while developing your own skills by experimenting with and learning new technologies As part of your role you will also have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories: People/line manager, stakeholder management and communication, recruitment, etc. Help to shape the AI Platform Engineering offering. Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal projects, campaign development, internal think‑tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Training to support your career development and the skills demand within the company, certifications etc. To be considered for this position you must hold active SC (Security Check) Clearance, or be eligible and willing to gain this level of clearance. You’ll bring deep, hands‑on experience in most of the areas below, with strong depth in AI/GenAI platform engineering specifically. You don’t need to tick every box. • Model serving and gateway infrastructure (e.g. vLLM, LiteLLM, managed endpoints), with routing, failover, and per-workload cost attribution, • Agent orchestration and tool‑calling frameworks (e.g. LangGraph or equivalent), including familiarity with the Model Context Protocol (MCP), • Evaluation engineering (golden datasets, regression gates in CI, LLM‑judge calibration), • Guardrail and AI‑observability tooling (e.g. NeMo Guardrails, OpenTelemetry GenAI conventions, LangSmith, Braintrust), • Hands‑on with MLOps platforms (Azure ML, Databricks, SageMaker) and vector/retrieval databases (Pinecone, Milvus, pgvector), • Experience with GPU‑accelerated infrastructure and NVIDIA AI Enterprise or equivalent stacks, • Exposure to fine‑tuning, RLHF, or SLM distillation is a strong plus, • Deep expertise in Kubernetes and container platforms (OpenShift, AKS, EKS, GKE, or VMware Tanzu), • Infrastructure as Code and DevOps practices (Terraform, Bicep, Ansible, GitOps and CI/CD pipelines), • 5+ years’ experience across Azure, AWS, or GCP; strong DevOps fundamentals, • Proven experience in DevOps processes and best practices, applied in a client‑facing consulting context, • Ability to lead architecture reviews, workshops, and executive briefings, • Strong soft skills key to consulting: time and risk management, problem solving, leading with empathy, • Ability to converse with both internal and external stakeholders, always holding the appropriate level of conversation, • Strong scripting ability (Python plus one systems language such as Go or Rust, or Bash), • Experience with financial services, insurance, or other regulated‑industry engineering is a strong plus, given the compliance demands of AI in these sectors, • Experience using version control software (Git, GitHub, GitLab), • You’ll gain exposure to high‑profile transformations and hands‑on exposure to leading AI technologies, • Formal training by industry experts, with access to certifications across cloud (AWS, Azure, GCP), AI/ML, and Agile delivery (Scrum Master, Product Owner, SAFe), • Les Fontaines — our unique training environment just outside of Paris, for thought‑leadership and capability building, • Monthly showcases of our digital transformation initiatives, plus monthly team drinks, breakfasts, and away days At Capgemini we don’t just believe in Diversity & Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion Campaign, we build environments where you can bring your whole self to work. We aim to build an environment where employees can enjoy a positive work‑life balance. We embed hybrid working in all that we do and make flexible working arrangements the day‑to‑day reality for our people. All UK employees are eligible to request flexible working arrangements. Employee wellbeing is vitally important to us as an organisation. We have trained ‘Mental Health Champions’ across each of our business areas, and have invested in wellbeing apps such as Thrive and Peppy. Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who declare they have a disability and meet the minimum essential criteria for the role. Please opt in during the application process. We’re also focused on using tech to have a positive social impact — working to reduce our own carbon footprint and improve everyone’s access to a digital world. We were named one of the world’s most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you’ll join a team that does the right thing. Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice. We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent on grade and on company and personal performance. Capgemini is a global business and technology transformation partner, helping organisations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 350,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end‑to‑end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion #J-18808-Ljbffr

Senior Search Data Engineer - Software – Leading SaaS Business Full-time · Permanent · Remote/Hybrid (Glasgow-based office) A leading SaaS business at the forefront of digital transformation is seeking an experienced Senior Search Data Engineer - Software to join its growing data team. As the company scales its next-generation platform, data is central to delivering fast, accurate, and intelligent user experiences. This is a fantastic opportunity to play a key role in shaping a modern data and search infrastructure using cutting-edge technologies. About the Role You’ll be part of an agile, cross-functional team building a powerful data platform and intelligent search engine. The company is focused on improving search and categorisation functionality, and the ideal candidate will have a data engineering background, with hands-on experience in developing search tools and working with vector databases. You’ll work with technologies like Apache Lucene, Solr, and Elasticsearch, contributing to the design and development of scalable systems. Strong experience in developing and optimising indexing solutions within Elasticsearch is particularly important, as this is a key focus area for the team. While platform-level optimisation is useful, the role demands deeper expertise in building and tuning indexing strategies to support advanced search capabilities. There will also be opportunities to explore machine learning, AI-driven categorisation models, and vector search—all key components of this year’s roadmap. A background in data science within a production environment would be highly valuable, especially if paired with experience in Java or Python. • Design and build high-performance data pipelines and search capabilities, • Develop solutions using Apache Lucene, Solr, or Elasticsearch, • Optimise Elasticsearch indexing strategies for performance and relevance, • Implement scalable, test-driven code in Java and Python, • Work collaboratively with Business Analysts, Data Engineers, and UI Developers, • Contribute across the stack – from React/TypeScript front end to Java-based backend services, • Leverage cloud infrastructure including Azure Data Factory, Batch Services, and Azure SQL, • Participate in code reviews, DevOps practices, and system performance tuning, • Strong experience in data engineering, with a focus on search tools and vector databases, • Proven expertise in Elasticsearch indexing and search optimisation, • Experience in large-scale data processing and building search functionality, • Skilled with SQL and NoSQL databases, • Comfortable working in Agile environments and following DevOps and CI/CD practices, • Experience in Java development, with some exposure to Python, • Committed to writing maintainable, well-tested code, • Excellent attention to detail and problem-solving skills, • Strong verbal and written communication, including the ability to write technical documentation, • Ability to mentor junior engineers and contribute to a collaborative team environment, • Be part of a forward-thinking, technically strong team, • Work on impactful projects using modern data, search, and ML/AI technologies, • Join a culture that promotes innovation, learning, and cross-functional collaboration, • Competitive salary and benefits package, • Opportunity to work with cutting-edge tools in a fast-paced SaaS environment, • Contribute to a platform trusted by leading organisations in the life sciences sector This role can be based remotely or hybrid. • Remote: Must be willing to travel to the Glasgow office at least once per quarter, • Hybrid: Minimum one day per week in the Glasgow office If you're passionate about scalable data engineering, intelligent search technologies, and making a real impact—we’d love to hear from you. #J-18808-Ljbffr

Beeks Group is a leading managed cloud provider exclusively within financial markets. Our Infrastructure-as-a-Service model is optimised for low-latency private cloud compute, connectivity and analytics, providing the flexibility to deploy and connect to exchanges, trading venues and public cloud for a true hybrid cloud experience. Founded in 2011, Beeks Group is listed on the London Stock Exchange (LSE: BKS) and has enjoyed continued growth each year. Beeks Group now employs over 100 team members across the globe and have an international network of over thirty data centres. We have a fantastic opportunity for a Client Implementation Engineer to join us at our unique Head Office in Renfrew which includes our state-of-the-art gym with weekly circuit training, a personal trainer and yoga classes as well as the Beeks Bar or weekly masseuse to help you unwind! Beeks Group is seeking a skilled and adaptable Client Implementation Engineer to support the technical implementation, deployment, and ongoing evolution of our Analytics product. As a Client Implementation Engineer, you will be designing, delivering, and supporting innovative solutions for clients in the electronic trading sector, built on the Beeks Analytics suite of products and deployed on Linux platforms. The role ranges from requirements gathering and analysis through to conducting client trials and full deployment, configuration and integration of the solution. In addition to client projects, the engineer will collaborate closely with software engineers to shape new product capabilities and adapt the platform for new customer use cases. The successful candidate will balance problem solving and customer facing skills with the ability to contribute to product development and deployment, through targeted technical and process development. Verbal and written communication skills are critical for success, as the candidate will represent Beeks to external customers. Knowledge of network analysis and financial market protocols are useful, but not essential. We encourage applications from individuals who have demonstrable experience of quickly learning new products and who excel in pragmatic, practical problem solving. As the product evolves, the role offers opportunities to deepen expertise in several directions, including product development, client solution design, and technical support. The role may offer travel opportunities. Beeks is a small company and the successful candidate’s work will make a direct and measurable contribution to the company’s success. We particularly welcome candidates who enjoy learning new technologies and developing practical solutions to real-world system problems. This role is ideal for engineers looking to take the next step in their careers and gain deeper experience working with production systems in the financial markets. • Design, implement, and deploy infrastructure and platform components to support client environments, • Work on complex, high-volume, real-time systems and application integration projects for clients across financial services, • Deliver reliable, maintainable projects to new and existing clients using the Beeks Analytics products and toolset, • Play an active part in the design of novel solutions to meet emerging business requirements, • Develop scripts and automation workflows, primarily using Python, • Collaborate with engineering teams to enhance deployment pipelines and operational tooling, • Support transition away from legacy Java components as the platform evolves, • Coordinate with the software development team for bug fixes and enhancement requests, • Work directly with clients to support technical onboarding, implementation activities, and issue resolution, • Provide product training to end users, • Translate between client needs and internal development teams during delivery and support cycles, • Work with relational and time-series data systems (e.g. QuestDB, InfluxDB) to explore operational data and support reporting or dashboard use cases, • Build and support dashboards and visualisations using Grafana (heavily used in the role and by our customers), • Our analytics are based on capturing data from the network. Familiarity with network diagnostics, packet capture, or financial market protocols is beneficial but not required., • Work with internal ML engineering teams to deploy and operate machine learning analytics components, helping ensure models run reliably in client environments and integrate with existing data pipelines and dashboards., • 3+ years of strong Software Delivery or Integration Engineering experience, • Technical problem solving mind-set: The role suits engineers who are curious about how complex systems behave in real environments, and who enjoy exploring operational data and metrics to help diagnose and resolve issues., • Organised independent thinker who will pro-actively seek help to maximise efficiency, • Development background, • Linux, bash and scripting experience, • Familiarity with network technologies, TCP, • Quality focused individual, eager to contribute in a team-oriented environment, • Strong interpersonal and communication skills – verbal and written. You will work with experienced engineers to investigate issues and help translate technical findings into clear explanations for clients., • Familiarity with network tap/span/aggregation, wireshark/tcpdump/BPF, • Integration experience kafka/sso/REST Qualified to degree level, or equivalent hands-on experience, in one of the following: • Computer Science / Computer Engineering, • Information Systems / Decision Sciences, • Engineering (all disciplines), • A unique and highly rewarding Share Options scheme #J-18808-Ljbffr

GLASGOW, LANARKSHIRE, United Kingdom • Job Identification 210783041, • Job Category Data Engineering, • Business Unit Corporate Sector, • Posting Date 08/20/2026, 03:18 PM, • Locations 315 Argyle Street, Glasgow, Glasgow City, G2 8AT, GB, • Job Schedule Full time, • Job Shift Day Join us as a Lead Data Engineer and help shape the future of data-driven innovation at JPMorganChase. You will collaborate with talented colleagues to deliver impactful solutions that power AI and analytics initiatives across the firm. We value your expertise, encourage growth, and support your journey to make a lasting impact. Experience a culture that celebrates diverse perspectives and fosters continuous learning. Job Summary: As a Lead Data Engineer in the Corporate Technology team supporting CIO, Treasury & Corporate Risk Management, you will enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You will maintain critical data pipelines and architectures across multiple technical areas, supporting the firm’s business objectives. Your work will drive innovation, operational excellence, and team success, contributing to a collaborative culture that values your ideas and technical leadership. Job Responsibilities: • Make data available for AI and analytics initiatives, working closely with use case owners to define requirements, manage product dependencies, and support agile routines that oversee cross-product data dependencies and prioritize delivery, • Collaborate with business, technology, and operations partners to understand data requests and accelerate provisioning through deployment of "AI for Data", • Drive adoption of AI-assisted development tools (e.g., Claude Code, Copilot) to accelerate delivery and improve developer productivity, • Partner with business and technology teams to rapidly prototype and deploy analytics and tooling, leveraging AI/ML and innovative approaches, • Implement and manage platform controls, including access, security, and compliance, ensuring all data and AI solutions meet firmwide SDLC standards, • Provide transparency and drive executive visibility into bottlenecks, progress, performance metrics, and adoption tracking in making AI-ready and critical data sources available for innovation, • Identify the lineage and provenance of critical data assets to support governance, regulatory, and business requirements; embed evergreen controls on data flows to improve safety, transparency, and traceability, • Drive insight into areas of efficiency and risk through consolidation and reengineering of data flows, • Lead data quality issue root cause analysis using deep data profiling and advanced analytics techniques, then fix the cause and embed uplifted evergreen controls to prevent future failures, • Develop proactive controls to reduce the time from data quality issue identification to resolution, improving client experience and driving operational efficiency, • Demonstrate control environment improvements and reduction in toil through common tooling and frameworks; uplift the metadata (semantic layer) of existing data to support AI and Natural Language Query (NLQ) usage, accelerate adoption of Mesh data architecture, reduce consumer friction, and deliver data product prototypes, • Uses enterprise-authorized AI capabilities within the work environment to accelerate data platform and model design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements, • Applies reuse-first, AI-assisted practices within delivery and operational routines (e.g., backup/recovery validation and access control review support), ensuring traceability/auditability and alignment to resiliency and security expectations Required Qualifications, Capabilities, and Skills: • Formal training or certification on software engineering concepts and applied experience, • Experience and awareness in working within Risk Analytics space; preferred knowledge of corporate bond investment assets and structured credit products such as securitisation (e.g., CLO, CMBS, RMBS, ABS), • Proven experience integrating AI-assisted development tools (e.g., Claude Code, Copilot, or similar) into engineering workflows, • Experience in strategic or transformational change initiatives, including data governance, data quality, or analytics transformation programs, • Strong technical skills in data profiling, analysis, and data management using modern tools and environments (Python, R, SQL, Spark, DataBricks, cloud platforms), • Understanding of data lineage concepts and experience with lineage analysis, metadata management, and data cataloguing, • Excellent communication skills with the ability to convey complex technical concepts to diverse audiences, including executive leadership, • Experience with data quality frameworks, including profiling, rule development, issue remediation, and preventative controls, • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity, • Ability to review and validate AI-assisted outputs (e.g., code, model/design summaries or operational checklists) before use, escalating when uncertain and following data handling requirements, • Hands‑on practical experience delivering system design, application development, testing, and operational stability Preferred Qualifications, Capabilities, and Skills: • Hands‑on experience with data lineage tools and techniques, including graph & vector databases and metadata management platforms, • Hands‑on experience with LLM Ops, MLOps, and AI/ML platform deployment at scale, • Familiarity with business‑led analytics delivery models and rapid prototyping frameworks, • Experience with AI/ML governance, prompt engineering, and integrating AI tools into SDLC, • Experience with AI/ML technologies and their application to data management challenges (e.g., automated data profiling, metadata enrichment), • Understanding of agile and product management methodologies and experience working in agile teams, • Ability to multi‑task in a fast‑paced environment and operate independently with minimal supervision; strong judgment with the ability to balance strategic vision with pragmatic, incremental delivery, • Experience building and growing capabilities and developing talent in data science or data management teams, • Excellent interpersonal skills and ability to build strong working relationships with business, technology, and control stakeholders across global teams J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long‑term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQs for more information about requesting an accommodation. Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. #J-18808-Ljbffr

We are seeking an AI Engineer for Autonomy to design, develop and deliver advanced Artificial Intelligence and Machine Learning solutions within complex and safety-critical environments. Working within a multidisciplinary AI and software engineering team, you will transform business and operational challenges into robust, scalable and secure AI capabilities. This role offers the opportunity to contribute across the full AI lifecycle, from concept development and model design through to deployment and continuous improvement, while supporting innovation across high-profile defence and technology programmes. • Translate business and operational requirements into AI solution designs and measurable outcomes., • Develop, train and evaluate AI and Machine Learning models across areas such as computer vision, autonomy, large language models and predictive analytics., • Design and maintain robust data processing, training and evaluation pipelines., • Apply Responsible AI principles, ensuring model robustness, explainability, security and compliance., • Work closely with software engineers to deploy AI capabilities into production environments., • Define and monitor model performance metrics, data quality indicators and model drift measures., • Produce high-quality, secure and maintainable code following software engineering best practices., • Generate technical documentation including architecture designs, model reports and implementation guidance., • Develop reusable AI components and frameworks to accelerate future programme delivery., • Support customer demonstrations, proof-of-concepts, technical workshops and bid activities., • Collaborate with data engineers, architects and cyber security specialists to develop integrated solutions., • Evaluate emerging AI technologies and promote continuous improvement and innovation., • Strong Python development experience within commercial or industrial environments., • Experience developing AI and Machine Learning solutions using frameworks such as PyTorch, TensorFlow or Scikit-Learn., • Knowledge of autonomy frameworks such as ROS2 or equivalent technologies., • Experience working with Computer Vision, Deep Learning, NLP/LLM or Time-Series Analytics solutions., • Strong understanding of data analysis and manipulation using tools such as Pandas, NumPy and SQL., • Experience deploying AI models into operational environments., • Understanding of Responsible AI principles, model explainability and AI security considerations., • Experience using Git and modern software development practices including testing and continuous integration., • Knowledge of Agile development methodologies and DevOps/MLOps principles., • Strong stakeholder engagement and communication skills with both technical and nontechnical audiences., • Degree, Master's qualification or equivalent experience in Artificial Intelligence, Software Engineering, Data Science or a related discipline., • Eligible to obtain UK Security Clearance (SC)., • Experience with MLflow, Weights & Biases or similar experiment-tracking tools., • Experience with Spark or large-scale data processing platforms., • Knowledge of ONNX, TorchScript, FastAPI or gRPC., • Experience deploying AI solutions within Azure, AWS or Google Cloud environments.Experience using Docker and containerised deployment approaches., • Experience developing software in C++ within safety-critical environments., • Experience defining solution architectures or technical governance., • Familiarity with large-scale data management and data-labelling strategies., • MLOps experience supporting production AI deployments., • Contributions to open-source projects, technical publications or patents., • Relevant AI, cloud or Agile certifications. With five strategic offices in Belfast, Chester, Farnborough, London and Oxford, we work in partnership with our customers UK-wide to deliver high-impact engineering solutions. SII UK is a trusted Aerospace and Defence engineering partner, supporting the delivery of complex, mission-critical programmes while helping to shape the future of innovation across next-generation systems and technologies. Our teams contribute daily to creating a fulfilling, stimulating and career development focused work environment. True to our human-centred values, we are committed to making SII UK a Great Place To Work, having been certified 5 years running. Joining SII UK means being part of our collective goals, guided by our mission “Let’s Tech Together,” and helping to build a digital future that is sustainable, at the heart of an environment that values learning & collaboration. #J-18808-Ljbffr

We are seeking an AI Engineer for Autonomy to design, develop and deliver advanced Artificial Intelligence and Machine Learning solutions within complex and safety-critical environments. Working within a multidisciplinary AI and software engineering team, you will transform business and operational challenges into robust, scalable and secure AI capabilities. This role offers the opportunity to contribute across the full AI lifecycle, from concept development and model design through to deployment and continuous improvement, while supporting innovation across high-profile defence and technology programmes. • Translate business and operational requirements into AI solution designs and measurable outcomes., • Develop, train and evaluate AI and Machine Learning models across areas such as computer vision, autonomy, large language models and predictive analytics., • Design and maintain robust data processing, training and evaluation pipelines., • Apply Responsible AI principles, ensuring model robustness, explainability, security and compliance., • Work closely with software engineers to deploy AI capabilities into production environments., • Define and monitor model performance metrics, data quality indicators and model drift measures., • Produce high-quality, secure and maintainable code following software engineering best practices., • Generate technical documentation including architecture designs, model reports and implementation guidance., • Develop reusable AI components and frameworks to accelerate future programme delivery., • Support customer demonstrations, proof-of-concepts, technical workshops and bid activities., • Collaborate with data engineers, architects and cyber security specialists to develop integrated solutions., • Evaluate emerging AI technologies and promote continuous improvement and innovation., • Strong Python development experience within commercial or industrial environments., • Experience developing AI and Machine Learning solutions using frameworks such as PyTorch, TensorFlow or Scikit-Learn., • Knowledge of autonomy frameworks such as ROS2 or equivalent technologies., • Experience working with Computer Vision, Deep Learning, NLP/LLM or Time-Series Analytics solutions., • Strong understanding of data analysis and manipulation using tools such as Pandas, NumPy and SQL., • Experience deploying AI models into operational environments., • Understanding of Responsible AI principles, model explainability and AI security considerations., • Experience using Git and modern software development practices including testing and continuous integration., • Knowledge of Agile development methodologies and DevOps/MLOps principles., • Strong stakeholder engagement and communication skills with both technical and nontechnical audiences., • Degree, Master's qualification or equivalent experience in Artificial Intelligence, Software Engineering, Data Science or a related discipline., • Eligible to obtain UK Security Clearance (SC)., • Experience with MLflow, Weights & Biases or similar experiment-tracking tools., • Experience with Spark or large-scale data processing platforms., • Knowledge of ONNX, TorchScript, FastAPI or gRPC., • Experience deploying AI solutions within Azure, AWS or Google Cloud environments., • Experience using Docker and containerised deployment approaches., • Experience developing software in C++ within safety-critical environments., • Experience defining solution architectures or technical governance., • Familiarity with large-scale data management and data-labelling strategies., • MLOps experience supporting production AI deployments., • Contributions to open-source projects, technical publications or patents., • Relevant AI, cloud or Agile certifications. With five strategic offices in Belfast, Chester, Farnborough, London and Oxford, we work in partnership with our customers UK-wide to deliver high-impact engineering solutions. SII UK is a trusted Aerospace and Defence engineering partner, supporting the delivery of complex, mission-critical programmes while helping to shape the future of innovation across next-generation systems and technologies. Our teams contribute daily to creating a fulfilling, stimulating and career development focused work environment. True to our human-centred values, we are committed to making SII UK a Great Place To Work®, having been certified 5 years running. Joining SII UK means being part of our collective goals, guided by our mission “Let’s Tech Together,” and helping to build a digital future that is sustainable, at the heart of an environment that values learning & collaboration. With five strategic offices in Belfast, Chester, Farnborough, London and Oxford, we work in partnership with our customers UK-wide to deliver high-impact engineering solutions. SII UK is a trusted Aerospace and Defence engineering partner, supporting the delivery of complex, mission-critical programmes while helping to shape the future of innovation across next-generation systems and technologies. Our teams contribute daily to creating a fulfilling, stimulating and career development focused work environment. True to our human-centred values, we are committed to making SII UK a Great Place To Work®, having been certified 5 years running. Joining SII UK means being part of our collective goals, guided by mission “Let’s Tech Together”, and helping to build a digital future that is sustainable, at the heart of an environment that values learning & collaboration. #J-18808-Ljbffr

Salary from: £55,000 - £68,750 per annum Full Time / Permanent Flexible /Hybrid options available - hybrid available within any SP Group offices (Glasgow / Prenton) Closing Date: Thursday 8th of October 2026 The Customer Service Lead Analyst will lead a newly formed data team at a pivotal point in its development. They will shape how the team works and lead the move from reactive, spreadsheet-led reporting to modern reporting and useful insight that helps Customer Service improve performance. The postholder will be expected to bring their own ideas and experience, make the best use of the tools available and identify practical solutions. They will lead the development of trusted reporting systems and dashboards using Tableau, Power BI and other appropriate tools. They will then lead the team to use the data available to understand what is happening, identify where improvement is needed and turn this into clear recommendations for operational teams. Working alongside those teams, they will support action through to delivery and measure whether it has improved performance and customer outcomes. The role will set priorities, manage workload, assure quality and develop the team. It will also provide leadership for regulatory, executive and business-critical reporting and represent Performance, Reporting & Insight on key projects. Lead the delivery of accurate, timely and meaningful reporting and insight, providing a single trusted view of performance across Customer Service. Ensure outputs support operational control, customer outcomes, regulatory obligations and strategic decisions. Build strong relationships across Customer Service and wider business functions. Act as a trusted adviser to senior leaders, understand the decisions they need to make and ensure reporting and insight translate into action. Lead the design and development of dashboards, scorecards, KPI reporting and data visualisations using appropriate analytical tools. Ensure outputs are intuitive, proportionate and focused on the decisions and actions they support. Provide analytical oversight and assurance for regulatory, executive and external reporting. Maintain clear definitions, ownership, controls and audit trails so that performance information is accurate, consistent and trusted. Set technical standards across reporting, analytics and business intelligence. Establish appropriate methodologies and quality assurance, act as the escalation point for complex analytical issues and develop capability across the team. Interrogate complex datasets to identify trends, root causes, risks and opportunities. Convert findings into evidence-based recommendations that improve customer outcomes, operational performance and efficiency, and track whether interventions deliver the intended result. Lead the provision of timely analytical support during major incidents, storms and business-critical events. Ensure leaders have access to clear, accurate and appropriately controlled real-time information for decision-making, prioritisation and customer communications. Represent Performance, Reporting & Insight on high-profile and business-critical projects. Define data and reporting requirements early, challenge assumptions and ensure data-led thinking is embedded throughout delivery. Lead, coach and develop the data team. Set clear priorities and accountabilities, manage workload and resources, assure delivery and build a high-performing culture with strong technical and business capability. Drive proportionate adoption of modern reporting and analytical technologies. Reduce manual effort through automation, improve the usability of reporting products and expand effective self-service insight while maintaining governance and control. • Significant experience in a senior data, reporting, analytics, business intelligence or insight role, including leadership of people, projects or complex analytical workstreams., • Proven ability to lead a data team, set priorities, manage competing demand, assure quality and develop others., • Advanced analytical capability, including interrogating complex datasets, identifying trends and root causes and translating evidence into clear recommendations., • Expert Excel capability and strong experience developing dashboards, visualisations and reporting solutions using Tableau, Power BI or comparable tools., • Practical experience of data querying, transformation and automation using tools such as SQL, Power Query, R or Python., • Strong understanding of data structures, KPI design, reporting methodologies, data quality and governance, with the judgement to apply proportionate controls., • Demonstrable business partnering skills, with the ability to understand operational, customer and regulatory context rather than analyse data in isolation, • Experience presenting complex findings and recommendations to senior stakeholders and influencing decisions through concise, evidence-based communication., • A track record of using reporting and insight to improve performance, customer outcomes or operational efficiency, including measuring whether changes delivered the expected benefit., • A degree in Data Analytics, Mathematics, Statistics, Computer Science, Business Analytics or a related discipline, or equivalent practical experience. As well as an attractive salary which is reviewed annually, you can also enjoy a number of other benefits. With our pension scheme, we'll double match your contribution up to a company contribution of 10%. At ScottishPower, we believe it's the little things we do in life that make a big difference. From helping you look after your family's wellbeing, save for your future and take personal steps for climate action -- our benefits are designed to help you do just that - so that you have everything you need to take care of your world -- today and tomorrow. That's why our benefits include: • 36 days annual leave, • Holiday Purchase - perfect your work/life balance with extra annual leave, • Equity Plans, • Payroll Giving and Charity Matched Funding, • Technology Vouchers - save more and spread the cost of your technology purchases, • Electric Vehicle Schemes - to help you transition to green/clean driving, • Cycle to Work scheme and Public Transport Season Ticket Loans, • Healthcare benefit options including: Dental Insurance, Private Medical Insurance, Health Cash Plan and annual Health Assessments, • Life Assurance (4x salary), • Access to Savesmart financial wellbeing assistance, • Plus shopping, leisure, restaurant and gym discounts, and unique employee deals on travel insurance and more SP Energy Networks is part of the Iberdrola Group, one of the world's largest integrated utility companies and a world pioneer in wind energy. We keep electricity flowing to homes and businesses through Central and Southern Scotland, North Wales and in the North West of England. We operate over 4000km of cables and lines that make-up the transmission network - infrastructure like wind farms into the electricity system. It's a role that puts us right at the heart of Scotland's goal to be Net Zero by 2044. And we're taking it very seriously. We're investing >£5.5 billion into our transmission network, directly enabling the rapid growth needed in renewable energy. With diverse opportunities across our businesses and a focus on investing in our own internal talent, ScottishPower can offer people real career opportunities that meet personal and professional goals, in a global organisation. Inclusion, diversity, and a social purpose are at the heart of everything we do. Combined with our values, they bring us into a stronger, more sustainable business with direct links to the communities we serve. It takes all backgrounds of people to build a large-scale business like ours, so whatever your background, you'll fit right in. We are dedicated to providing reasonable adjustments in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions, or who are neurodivergent or require pregnancy-related accommodations. If you need assistance, please reach out to . Please note that any applicant who is not a citizen of the country of the vacancy will be subject to compliance with the applicable immigration requirements to legally work in that country. If/when required, the Company will support the employee with the necessary Immigration requirements. Advert will close at 23:59 GMT the day before Job Posting End Date below October-8-2026 #J-18808-Ljbffr

This is an exciting opportunity to join Ofgem as a Behavioural Scientist at a pivotal moment for the energy sector. Working within the well‑established and highly regarded Behavioural Science function, you will help shape policy that supports a safe, affordable and sustainable energy system for consumers across Great Britain. The team applies cutting‑edge behavioural insights to real‑world challenges, designing and delivering high‑quality field trials, online experiments, and analytical work to inform regulatory decisions on topics such as energy pricing, cost recovery, and demand‑side flexibility. You will use robust behavioural models, including EAST and COM‑B, to guide policy design and enable “test, learn, adapt” approaches that drive better outcomes for consumers. As part of a wider multi‑disciplinary Consumer Insights and Behavioural Science team, you will collaborate closely with policy, analytical and technical specialists across Ofgem, as well as external partners such as academics, other regulators and industry representatives. The role offers the chance to contribute to high‑profile, meaningful work at a time of significant innovation and transformation in the energy landscape, where behavioural solutions are essential to achieving a fair and consumer‑centred transition to Net Zero. We are seeking individuals with hands‑on experience in experimental design and data analysis, strong knowledge of behavioural science or behavioural economics, and the ability to communicate insights clearly to a range of audiences. If you are passionate about applying behavioural evidence to improve outcomes for millions of energy consumers, this role offers a uniquely impactful and rewarding career opportunity. Ofgem has a culture of inclusion that encourages, supports and celebrates the diverse voices and experiences of our colleagues. It fuels our innovation and helps ensure we can best represent the consumers and the communities we serve. Everyone is welcome - as an inclusive workplace, our employees are comfortable bringing their authentic selves to work. Come along to our recruitment open event on 11th March at 1pm where you can meet the team, explore what a Behavioural Scientist at Ofgem does and get the top tips for your application. This is a free to attend event with a Q&A section for you to ask any questions you may have. Book your spot today, meeting links will be shared on the morning of the event. ofgem/2089805 • Delivery: Support the design and delivery of high-quality behavioural research/projects, such as field trials, online experiments and the application of behavioural models, to provide evidence that helps Ofgem to deliver on its strategic priorities, • Stakeholder engagement/influencing: Build strong, effective relationships, collaborating with Ofgem policy teams to use behavioural science and/or economics to answer complex questions. Build relationships with external stakeholders to maximise partnership and collaboration opportunities e.g. ensure Ofgem benefits from behavioural science research conducted by academia., • Communication/impact: Draft clear and concise documents, including briefings, reports, and presentations and present work at internal forums and external events, conferences etc to showcase the work of behavioural science in Ofgem., • Innovation: Keep abreast of advances in the field of Behavioural Science and how this can be applied in Ofgem., • Experience of applying behavioural science in a real‑world setting (e.g. in a regulatory, government, academia or consultancy role) (LEAD), • Knowledge and understanding of behavioural science and/or behavioural economics with an up to date understanding of the key literature (LEAD), • Hands‑on experience of designing and analysing field trials or online/lab experiments., • High level of data literacy including demonstratable experience of quantitative statistical analysis of large data sets, • Ability to distil complex subject matter into relevant messages for different audiences – both orally and in writing, combined with excellent drafting skills., • Experience working collaboratively with a diverse range of stakeholders, • Applied experience of wider qualitative and quantitative research approaches, • Analytical coding skills (e.g. Python, R) and experience working with big data #J-18808-Ljbffr

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Join our AI Factory team and be part of the future of AI consulting. We are redefining how organisations adopt and scale AI, moving beyond experimentation to embedding agentic systems, human-AI workflows and data products into every aspect of how they operate, compete, and create value. As a Consultant / Senior Consultant within our AI Factory team, you will help clients unlock measurable value from data and AI by translating business challenges into practical solutions that improve performance, accelerate growth, increase operational effectiveness and enable innovation with confidence, whilst contributing to the growth of our AI Factory practice. This role is perfect for someone who enjoys solving real business problems and turning emerging data and AI technologies into practical solutions. You’ll work alongside experienced consultants, client stakeholders and technical specialists to design and deliver solutions that augment human judgement, improve decision‑making and transform business processes - from improving customer service outcomes and optimising supply chains, to enabling smarter marketing decisions. You will help clients identify and deliver high-value opportunities where data and AI can solve real business problems and deliver measurable outcomes. Work with client stakeholders to understand business challenges and user needs, translating these into practical data and AI use cases, products and solutions. Support the prioritisation and delivery of AI use cases based on business value, feasibility and user needs, applying modern data and AI technologies to develop solutions such as Generative AI, Agentic AI, intelligent automation and advanced analytics. Help measure and demonstrate the impact of data and AI solutions through adoption, performance and business outcome metrics, supporting clients in moving from experimentation towards practical adoption. You will help design solutions around the needs of users and the way organisations operate. Design and develop user‑centric AI products, copilots, intelligent assistants and agentic workflows that meet user and business needs, working across cloud and data platforms including Azure, AWS and GCP. Understand how AI can be embedded into business processes, customer journeys and decision‑making, working collaboratively with business, product, design and engineering teams to deliver practical solutions. Support deployment, adoption and change by translating complex technical concepts into clear recommendations and practical experiences for business users, while contributing to iterative and Agile delivery. You will help build trusted data and technology foundations that enable AI solutions to be deployed safely and at scale. Develop and work with AI‑ready data platforms, data products and analytical solutions, ensuring data is accessible, fit for purpose and ready to support AI use cases. Support data quality, governance and the application of Responsible AI, security, privacy and compliance principles throughout delivery. Contribute to scalable data and AI architectures and support the delivery of reliable, observable and maintainable solutions, taking ownership of defined deliverables and workstreams within multidisciplinary teams. As part of your role you will be able to contribute to the business and your own personal growth, through activities that form part of the following categories: Business Development – Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal contribution – Campaign development, internal think‑tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & Development – Training to support your career development and the skills demanded within the company, accreditations, certifications etc. We are looking for individuals who combine analytical and technical capability, consulting skills and a passion for using data and AI to solve real business problems. We don't expect you to have every skill below. We value diverse backgrounds, perspectives and experiences, and are interested in people who demonstrate curiosity, a willingness to learn and the ability to apply technology to practical challenges. Experience in data, analytics, AI or digital transformation through consulting, technology, engineering, academia or industry. Ability to translate business challenges and user needs into practical data and AI solutions. Experience working in Agile or iterative delivery teams, with an understanding of product development principles including requirements, prioritisation, backlogs and iterative delivery. Interest in how Generative AI, Agentic AI and automation can transform business processes and decision‑making. Experience or strong interest in one or more of the following: Generative AI, LLMs, Retrieval Augmented Generation (RAG) and AI applications Agentic AI, AI agents, intelligent assistants and AI‑enabled automation Prompt engineering, AI evaluation and Responsible AI AI orchestration frameworks e.g. LangChain, Semantic Kernel, Model Context Protocol (MCP) Data engineering, pipelines, modelling and governance Advanced analytics, machine learning and statistical modelling Data visualisation and insight solutions Candidates should understand the importance of trusted, accessible and AI‑ready data, and be curious about how AI can be embedded into business processes and decision‑making. Hands‑on experience in one or more of the following areas: Programming & Analytics – Python, SQL, R, Spark, machine learning and advanced analytics Cloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCP AI Technologies – GenAI frameworks, Agentic AI, vector databases, semantic search, knowledge retrieval and LLM application development Data & Visualisation – Power BI, Tableau, Looker and other business intelligence tools Ability to work effectively with both business and technical stakeholders. Strong communication, problem‑solving and storytelling skills, with the ability to explain technical concepts to non‑technical audiences. Ownership of the quality and timely delivery of your work. Collaborative, inclusive and adaptable working style. Curiosity and enthusiasm for learning new technologies and ways of working. For Senior Consultant candidates, ownership of larger workstreams, support for junior colleagues and contribution to client or business development are desirable. The role offers the opportunity to work on leading‑edge AI and analytics programmes in a collaborative consulting environment. Candidates must be eligible for SC Security Clearance and should be willing to travel as required by client engagements. Capgemini also offers hybrid working, flexible working arrangements and a strong focus on employee wellbeing, inclusion and professional development. As a Consultant / Senior Consultant, you will have the opportunity to work at the forefront of AI and analytics innovation, contributing to cutting‑edge projects that shape industries, while advancing your own career in a collaborative and inspiring environment. We are delighted to have received the Glassdoor Best Places to work UK’ accolade for 5 consecutive years, to see what it’s like to work at Capgemini Invent, visit our Glassdoor page At Capgemini we don’t just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring you whole self to work. We aim to build an environment where employees can enjoy a positive work‑life balance. We embed hybrid working in all that we do and make flexible working arrangements the day‑to‑day reality for our people. All UK employees are eligible to request flexible working arrangements. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy. Capgemini Is Proud To Be a Disability Confident Employer (Level 2) Under The UK Government’s Disability Confident Scheme. As Part Of Our Commitment To Inclusive Recruitment, We Will Offer An Interview To All Candidates Who Declare they have a disability, and Meet the minimum essential criteria for the role. Please opt in during the application process. We’re also focused on using tech to have a positive social impact. So, we’re working to reduce our own carbon footprint and improve everyone’s access to a digital world. It’s something we’re really serious about. In fact, we were even named as one of the world’s most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you’ll join a team that does the right thing. Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice. We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance. Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end‑to‑end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion. Make it real. | www.capgemini.com #J-18808-Ljbffr

• Glasgow, UKTitle: Sr. Infrastructure Engineer (Python, Linux, VMware ESXi, Ansible, cloud) Location: Glasgow, UK Position type: 12 Months Contract Job Description: The infrastructure-as-a-Service Engineering group in the Client's Core Infrastructure division and is responsible for designing, implementing, integrating, and maintaining the firm's large-scale global physical and virtual server infrastructure. The group evaluates, certifies, integrates, and supports a broad range of infrastructure technologies, including hardware platforms, hypervisors, Linux operating systems, system configuration tooling, critical infrastructure services, automation platforms, load-balancing, high availability solutions, and virtualization management technologies. We are a key part of the firm's DevOps transformation, delivering real-time APIs and automation capabilities that enable infrastructure-as-code patterns and provide the back-end integrations that translate desired state into reliable production outcomes. We are seeking a skilled and experienced engineer to join the platform engineering team. The role will focus on integrating, testing, securing, and improving multiple infrastructure codebases, with a particular emphasis on vulnerability remediation, code hardening, automated validation, and safe production rollout. This is not a simple follow the requirement and apply a fix role. We are looking for a self-starter who can operate effectively in a complex engineering environment. The successful candidate will need to understand complex distributed systems, assess the broader impact of security changes, design robust remediation approaches, and produce stable, maintainable, and future-proof secure code. They will also be expected to define appropriate test plans, validate changes in lab environments, and support production rollout with a focus on minimizing risk and stability impact. • Work across multiple infrastructure and automation codebases to remediate identified security vulnerabilities., • Design, implement, and validate secure, stable, and maintainable code changes., • Work as an integration engineer, connecting vendor, open-source, and internally developed solutions into the firm's infrastructure platform., • Develop and maintain automation using Python and related tooling., • Build and improve CI/CD pipelines, automated test coverage, and release validation processes., • Create test plans and validation procedures for security-related code and configuration changes., • Use lab and pre-production environments to test complex changes before production rollout., • Collaborate with engineering, operations, security, and application teams to assess impact and drive remediation to completion., • Participate in code reviews, design discussions, documentation, and technical planning., • Contribute to the ongoing improvement of platform reliability, security posture, and engineering practices., • Strong Linux engineering skills, including configuration, troubleshooting, system-level diagnostics, and operational support., • Solid understanding of distributed systems and the challenges involved in changing, testing, and operating them safely., • Strong Python development skills, with the ability to write robust, maintainable, production-quality code., • Experience working with CI/CD pipelines, automated testing frameworks, and release automation., • Experience with both automated and manual testing approaches., • Ability to create practical test plans, validation procedures, and rollout plans for complex technical changes., • Experience working with large-scale production environments and an understanding of operational risk., • Good understanding of security principles, vulnerability remediation, secure coding, and system hardening., • Strong troubleshooting skills across operating systems, infrastructure services, automation, networking, and application integration points., • Ability to work independently, take ownership, and drive complex problems through to resolution., • Strong communication skills, including the ability to explain technical risks, options, and recommendations clearly., • Experience with Perl in addition to Python., • Experience with infrastructure-as-code and configuration management tools such as Ansible, SaltStack, or similar., • Experience with VMware ESXi, virtualization platforms, or private cloud infrastructure., • Experience with vulnerability management, security scanning tools, remediation workflows, and audit/compliance requirements. Central Business Solutions, Inc(A Certified Minority Owned Organization) Central Business Solutions, Inc 37600 Central Court Suite 214 Newark CA, 94560 Phone: (833)247-8800 Fax: (510)-740-3677 #J-18808-Ljbffr

Join us as a Senior Technical Lead and help build the backbone of our platform. You'll set technical direction, raise engineering standards, and stay hands-on with design and reviews that impact multiple codebases. This is your opportunity to tackle real-world performance challenges, collaborate with talented engineers, and influence the future of our technology. If you thrive on solving complex problems and mentoring others, this role is for you. Join us as a Senior Technical Lead and help build the backbone of our platform. You'll set technical direction, raise engineering standards, and stay hands-on with design and reviews that impact multiple codebases. This is your opportunity to tackle real-world performance challenges, collaborate with talented engineers, and influence the future of our technology. If you thrive on solving complex problems and mentoring others, this role is for you. As a Senior Technical Lead in the Platform Engineering team, you will own the technical direction across services and shared libraries. You will define and evolve architecture contracts between the UI, backend services, shared libraries, and cloud execution layers. You will drive execution performance improvements, set engineering standards, and coordinate change across teams and codebases. You will mentor engineers, lead high-impact code reviews, and serve as the escalation point for challenging production incidents. You will partner with stakeholders to translate business requirements into a clear technical roadmap. • Own cross-cutting architecture by defining and evolving contracts between UI, backend services, shared libraries, and cloud/compute execution layers, • Drive execution performance improvements by tackling model start-up latency and warm/pooled compute, evaluating instance pools, serverless, and warm-executor patterns, • Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain., • Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities,, • Set engineering standards for testing strategy, CI/CD, secure-by-default practices, observability, and backwards-compatible versioning across shared libraries, • Coordinate change across teams and codebases by breaking features into well-scoped, contract-first workstreams and aligning API/schema changes, • Mentor mid/senior engineers, run high-signal code reviews, and be the escalation point for complex production incidents, • Partner with stakeholders to translate user and business requirements into a pragmatic technical roadmap, • Design and review changes that span multiple services and shared libraries to ensure correctness, performance, and maintainability, • Establish and maintain a clear, documented architecture and contract map that enables new engineers to quickly navigate the platform, • Achieve measurable improvements in execution start-up time for smaller models, enhancing overall system efficiency, • Significant experience building and operating production software as a technical lead on distributed systems, • Deep expertise in Python and FastAPI/REST, including async patterns and SQLAlchemy, • Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security, • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls., • Strong AWS background, including serverless orchestration (Step Functions/Lambda), container deployment (ECS/EKS), and managed data services, • Proven track record designing and evolving service-to-service contracts without breaking consumers, • Solid grasp of CI/CD, automated testing, and secure-by-default engineering (secrets, IAM, least privilege), • Ability to lead across teams and communicate clearly with engineers and business stakeholders, • Experience with Databricks/Spark and ML/forecasting execution at scale, including optimizing cold-start/warm-compute, • Familiarity with TypeScript/React micro-frontends (Module Federation) to guide UI direction, • Ownership of Terraform and infrastructure-as-code, • Experience with model governance/SDLC (approval flows, audit, environment promotion) in a regulated setting, • Background in financial services or other compliance-heavy environments J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success. #J-18808-Ljbffr

Assume a vital position as a key member of a high-performing team that delivers infrastructure and performance excellence. This cloud support role will be instrumental in shaping the future at one of the world's largest and most influential companies — where your expertise drives real impact at scale. As a Lead Infrastructure Engineer at JPMorganChase within Cloud Foundational Services, you apply deep knowledge of software, applications, and technical processes within the infrastructure engineering discipline. You will continue to evolve your technical and cross-functional knowledge outside of your aligned domain of expertise. • Apply technical expertise and problem-solving methodologies to projects of moderate scope, • Drive a workstream or project consisting of one or more infrastructure engineering technologies, • Work with other platforms to architect and implement changes required to resolve issues and modernize the organization and its technology processes, • Execute creative solutions for the design, development, and technical troubleshooting for problems of moderate complexity, • Strongly consider upstream/downstream data and systems or technical implications and advise on mitigation actions, • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards, • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation, • Manage stakeholder relationships and the team's work in accordance with compliance standards, service level agreements, and product supportability requirements, • Partner with engineering and product teams to ensure remediation and permanent closure of issues and to identify trending issues to drive product improvement, • Demonstrate a high aptitude for both learning and teaching as product teams continually release new features and products, • Provide follow-the-sun 24/7 on-call support through a distributed team spanning multiple time zones, • Formal training or certification on infrastructure engineering concepts and advanced applied experience, • Deep knowledge of one or more areas of infrastructure engineering such as hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, or performance assessments, • Strong experience supporting and operating workloads within Amazon Web Services (AWS), including hands-on knowledge of core services such as compute, storage, networking, monitoring, and database technologies (e.g., RDS, DynamoDB, or Aurora) in a production environment, • Deep knowledge of cloud infrastructure and multiple cloud technologies with the ability to operate in and migrate across public and private clouds, • Familiarity with scripting languages (e.g., Python) and cloud platform certification(s), • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs, • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations, • Familiarity with working in a large distributed system across a range of technologies including compute, databases, messaging, observability, and telemetry, • Knowledge of incident, change, and problem management processes and the controls that govern them, • Understanding of data-driven decision making and a drive to continue developing technical and cross-functional knowledge, • Kubernetes, Azure, Google Cloud Platform, or Terraform certifications, • Experience working in a follow-the-sun or globally distributed on-call support model, • Familiarity with large-scale cloud migration or modernization initiatives, • Exposure to observability and telemetry tooling in complex distributed environments J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Join our Cloud Reliability Services team as a Cloud Technical Solutions Engineer and make a global impact. #J-18808-Ljbffr

Salary: £100,000 - 100,000 per year • Formal training or certification on infrastructure engineering concepts and advanced applied experience, • Deep knowledge of one or more areas of infrastructure engineering such as hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, or performance assessments, • Strong experience supporting and operating workloads within Amazon Web Services (AWS), including hands-on knowledge of core services such as compute, storage, networking, monitoring, and database technologies (e.g., RDS, DynamoDB, or Aurora) in a production environment, • Deep knowledge of cloud infrastructure and multiple cloud technologies with the ability to operate in and migrate across public and private clouds, • Familiarity with scripting languages (e.g., Python) and cloud platform certification(s), • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs, • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations, • Familiarity with working in a large distributed system across a range of technologies including compute, databases, messaging, observability, and telemetry, • Knowledge of incident, change, and problem management processes and the controls that govern them, • Understanding of data-driven decision making and a drive to continue developing technical and cross-functional knowledge, • Preferred: Kubernetes, Azure, Google Cloud Platform, or Terraform certifications, • Preferred: Experience working in a follow-the-sun or globally distributed on-call support model, • Preferred: Familiarity with large-scale cloud migration or modernization initiatives, • Preferred: Exposure to observability and telemetry tooling in complex distributed environments, • Apply technical expertise and problem-solving methodologies to projects of moderate scope, • Drive a workstream or project consisting of one or more infrastructure engineering technologies, • Work with other platforms to architect and implement changes required to resolve issues and modernize our organization and technology processes, • Execute creative solutions for the design, development, and technical troubleshooting for problems of moderate complexity, • Strongly consider upstream/downstream data and systems or technical implications and advise on mitigation actions, • Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity, while validating outputs through peer review, automated testing, and secure coding standards, • Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation, • Manage stakeholder relationships and the teams work in accordance with compliance standards, service level agreements, and product supportability requirements, • Partner with engineering and product teams to ensure remediation and permanent closure of issues and to identify trending issues to drive product improvement, • Demonstrate a high aptitude for both learning and teaching as product teams continually release new features and products, • Provide follow-the-sun 24/7 on-call support through a distributed team spanning multiple time zones, • AI, • AWS, • Architect, • Azure, • Cloud, • Hardware, • Support, • Kubernetes, • Marketing, • Python, • Security, • Terraform, • Web We are JPMorganChase, partnering with hackajob to hire a Lead Infrastructure Engineer within Cloud Foundational Services. This cloud support role is part of a high-performing team delivering infrastructure and performance excellence at scale. We are a global leader in financial services, providing strategic advice and products to some of the worlds most prominent corporations, governments, wealthy individuals, and institutional investors. Our first-class business in a first-class way approach drives everything we do, and we value diversity, inclusion, and trusted long-term partnerships. Our Corporate Functions team spans finance, risk, human resources, and marketing, helping set our businesses, clients, customers, and employees up for success. last updated 40 week of 2026 #J-18808-Ljbffr

GenAI Full Stack Engineer - Consultant / Senior Consultant - Digital ExcellenceLondon, Manchester, Newcastle Bank HouseApply for this job Permanent Experienced Professionals Strategy & Transformation ID 526401-en_GB## ROLE DETAILSSBU - InventCU - Business TechnologyGlobal Grade - B##At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.## YOUR ROLEJoin our team as a key player in building cutting-edge GenAI full-stack applications. In this role, you will:## Collaborate with the team to develop GenAI proof-of-concepts (POCs) for clients using technologies like Retrieval-Augmented Generation (RAG) and intelligent agents. Scale existing POCs to production-ready solutions for customer use. Design and develop FullStack applications for both GenAI and non-GenAI projects. Support the development of infrastructure to enable robust end-to-end solutions. Grow your skills by exploring and experimenting with emerging technologies, including GenAI. Share your expertise by coaching and mentoring team members, fostering skill development within the team.## Additional OpportunitiesThis role offers avenues for both personal and business growth through contributions in the following areas:## Business Development Lead or contribute to proposals, RFPs, bids, and client pitches. Develop innovative propositions and participate in client-hosting events.## Internal Initiatives Engage in campaign development, internal think tanks, and whitepapers. Contribute to practice operations, recruitment, and team-building activities.* Help shape the organization’s offerings and capabilities.## Learning and Development Access training and certifications to enhance your career and align with company needs. Stay at the forefront of technological advancements by upskilling in high-demand areas like GenAI.## YOUR PROFILETo be considered for this position you must meet below requirements:## Eligibility* You need to hold an active SC (Security Check) Clearance or be eligible for such level of clearance.## Technical Expertise* Backend Development: Experience in building microservices using either Python with FastAPI, or TypeScript with Express or equivalent* Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite.* GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript).* LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama.* Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment.* Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose.* Infrastructure as Code (IaC): Exposure to tools like Terraform.* Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar.* CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins.## Database Management Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB , Qdrant etc. NoSQL: Familiarity with NoSQL databases (e.g., MongoDB preferred).* SQL: Experience working with SQL databases like PostgreSQL.## Version Control* Proficient in Git and version control platforms like GitHub, GitLab, etc.## Work Methodology* Experience working in an agile team environment.## Communication Skills* Ability to effectively communicate with internal and external stakeholders, adapting your approach based on the audience and context.## WHAT YOU'LL LOVE ABOUT WORKING HERE?We are delighted to have received the “Glassdoor Best Places to work in the UK’ accolade for 4 consecutive years. To see what it’s like to work at Capgemini Invent, visit our Glassdoor page. Capgemini Invent offers Consultants a culture of learning, ownership, and focus on value. You’ll gain exposure to high-profile transformations and gain hands-on exposure to leading technologies. Our consultants are formally trained by industry experts in consulting and client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: Cybersecurity (CISSP, CISM), cloud technologies (AWS, Azure, GCP), and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you the flexibility to develop various areas of knowledge in technical domains aligned both to your interests and our client’s outcomes.* Les Fontaines: Capgemini Invent has a unique training environment just outside of Paris, where we can immerse ourselves in thought-leadership, share knowledge and build capabilities that will help us and our clients to succeed. We hold monthly showcases of our digital transformation initiatives, sharing knowledge and showing off how the power of technology is impacting our clients. There are monthly team drinks, and it’s a chance to connect face-to-face with the wider team over a few drinks in the city. Team away days are always a chance to connect with the team, have fun and learn something new. We hold monthly showcases of our digital transformation initiatives, sharing knowledge and showing off how the power of technology is impacting our clients. There are monthly team drinks, and it’s a chance to connect face-to-face with the wider team over a few drinks in the city. The monthly team breakfasts give you a different, more relaxed setting to meet up in the office to hear from the leadership, meet colleagues and discuss the trends and insights within the market. Team away days are always a chance to connect with the team, have fun and learn something new.## NEED TO KNOWAt Capgemini we don’t just believe in Diversity & Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion Campaign, we build environments where you can bring you whole self to work. We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy.## We are a Disability Confident EmployerCapgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who: Declare they have a disability, and Meet the minimum essential criteria for the role.Please opt in during the application process.## CSRWe’re also focused on using tech to have a positive social impact. So, we’re working to reduce our own carbon footprint and improve everyone’s access to a digital world. It’s something we’re really serious about. In fact, we were even named as one of the world’s most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you’ll join a team that does the right thing.##Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice. We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance. #J-18808-Ljbffr

You see the world through a unique lens and that’s exactly what we need. We embrace how you see things differently – it’s essential for creating a sustainable future. Arup is a global consultancy with advisory and technical expertise across more than 150 disciplines. We guide, plan and design the future of the built environment. Globally, each year we recruit hundreds of graduates and students who help us see things differently and solve the most complex challenges facing our clients, climate and communities. The Opportunity Arup is a leading theatre and venue design and advisory practice, and the creative team behind the design of many of the world’s most beloved cultural places. Our team works on venues for performance and visual art on a local and international scale. Our work includes theatres, concert halls, arenas, cinemas, museums and galleries, and music and film studios. We also work on audiovisual systems in offices, hotels, education, shopping centres and healthcare. We design technical systems (stage machinery, lighting, video, audio, broadcast, digital infrastructure) and input to project vision and briefing, architectural design, operational space planning, auditorium design, and liaise with other experts to create world-class experiences. We work closely with our clients, public authorities, operators, architects, engineers and theatre staff, guiding projects from inception and planning, through design, testing and commissioning, as well as consulting on in-use operations. • Production lighting and lighting control systems, • Audio-visual, broadcast and communications systems, • Stage machinery and automation control systems, • Venue planning and operational design, including back of house facilities and public spaces, • Auditorium design and modelling, including sightline analysis, • Visual arts strategies and cultural master-planning for cities and districts, • Visualisation, naturalizations, and the development of new digital tools for design and communication You will have the opportunity to: • Develop innovative solutions within constraints of project budgets, • Undertake conceptual through to technical design, • Participate in discussions with clients, relevant communities and other stakeholders, • Undertake calculations, drawings and modelling of venue technical systems, • Prepare presentations and technical documents for clear communication with design teams and users, • Contribute to and review designs of other parties, • Review systems onsite and assist with specialist venue systems inspection and commissioning. Is this role right for you? For this opportunity, we are seeking the following qualifications, skills and attributes: A bachelor's degree in relevant academic discipline, such as Science, Technology, Engineering, Maths (STEM), or Theatre, Music, Arts. Any degree. Passion for arts, culture & entertainment sector or any degree. Passion for arts, culture & entertainment sector or audio-visual design is more important and can be demonstrated through volunteer roles, part-time jobs or extracurricular activities. We are particularly interested to hear about your drive to work in the arts, culture & entertainment sector. • You may have volunteer, amateur, or professional experience working in a performing arts venue, gallery, studio, museum, conference, or event environment., • You may have taken on technical, operation, curatorial, or visitor experience roles., • You may be an avid reader of industry news and publications and have a view on the future of arts and culture and / or audio-visual design., • You may have personal projects that have developed relevant technical, creative and/or design skills., • You may have reflections on your interactions with the arts, culture and entertainment sector that you’d like to apply to your design work io visual design is more important and can be demonstrated through volunteer roles, part-time jobs or extracurricular activities., • You may have personal projects that have developed relevant technical, creative and/or design skills., • You may have reflections on your interactions with the arts, culture and entertainment sector that you’d like to apply to your design work. Skills and experience interested in Microsoft, AutoCAD. • Technical skills: CAD and / or 3D modelling skills (e.g. AutoCAD, Rhino, Revit), • Coding skills – particularly Python, • Adobe Suite – InDesign, Photoshop, Illustrator To be considered for a graduate opportunity, your application must include a copy of your academic transcript and meet the following criteria: • Full working rights in the country of application, • No more than 12 months of full-time experience in a comparable role, • Recently graduated, or on track to graduate, from your most recent degree, related to your role of choice, before employment starts. Alongside your degree, we look for the following core attributes; • Changemakers: A passion for sustainable development and creating a better world is key., • Innovative minds: We’re looking for critical thinkers who embrace new ideas and challenge the status quo., • Growth seekers: You have a growth mindset, always eager to learn and explore new ways of working., • Adaptable adventurers: You’re ready to take on any challenge that comes your way. Please note, in the event of high applicant volume, this role may be closed ahead of the advertised closing date. Early application is recommended. Please note that we are unable to offer visa sponsorship for this role. Therefore, you must ensure that you are eligible to work permanently in the UK without our sponsorship. What we offer you At Arup, we care about each member’s success, so we can grow together. Guided by our values, we provide an attractive total reward package that recognises the contribution of each of our members to our shared success. As well as competitive, fair and equitable pay, we offer a career in which all of our members can belong, grow and thrive – through benefits that support health and wellbeing, a wide range of learning opportunities and many possibilities to have an impact through the work they do. We are owned in trust on behalf of our members, giving us the freedom, with personal responsibility, to set our own direction and choose work that aligns with our purpose and adds to Arup’s legacy. Our members collaborate on ambitious projects to deliver remarkable outcomes for our clients and communities. Profit Share is a key part of our reward, enabling permanent members to share in the results of our collective efforts. We take an approach to flexible working that supports the diversity and wellbeing of our graduates. We also provide for our permanent members Private medical insurance, Life assurance, Accident insurance and Income protection cover. In addition, you’ll have access to flexible benefits to help you look after all aspects of your wellbeing and give you the freedom and flexibility to find the best solutions for you, your family, and your individual needs. Next Steps We've designed our application process to be straightforward and supportive, giving you the opportunity to showcase your skills and potential. Applications are reviewed as they're received, so we encourage you to apply as early as possible. The process includes an online application, psychometric testing, application review, case study, interview and offer stage. Our friendly Early Careers team is available throughout the process to answer questions and help you feel confident every step of the way. Graduate Acoustic Consultant - Manchester • Glasgow, Lanarkshire, United Kingdom #J-18808-Ljbffr

The Applied Artificial Intelligence and Machine Learning (Applied AI/ML) team within Infrastructure Platforms is transforming how the firm delivers strategic infrastructure platforms-based solutions—both by applying AI/ML within engineering workflows and by building scalable AI hosting platforms and capabilities for enterprise use. The Applied Artificial Intelligence and Machine Learning (Applied AI/ML) team within Infrastructure Platforms is transforming how the firm delivers strategic infrastructure platforms-based solutions—both by applying AI/ML within engineering workflows and by building scalable AI hosting platforms and capabilities for enterprise use. As an Applied ML and Generative Lead within J.P.Morgan, you will operate as a hands-off engineering leader responsible for designing, building, and running production-grade ML and Generative AI services, while setting technical direction that scales across multiple workstreams. You will remain close to the code and architecture decisions, establish delivery and engineering standards, and ensure solutions meet enterprise expectations for security, stability, and operational rigor. The ideal candidate brings a strong foundation in software engineering and AI/ML, along with proven experience leading the development and production operation of AI-enabled systems in secure, enterprise environments. In this role, you will collaborate closely with Infrastructure Platforms AI teams to address priority use cases, design and build services, and promote best practices for scalable, resilient, and secure AI adoption. You will also mentor engineers, contribute to firmwide standards and thought leadership, and help ensure the organization stays at the forefront of AI engineering advancements. • Provide hands-on technical leadership by designing, developing, and deploying ML/LLM/GenAI solutions from concept through production, maintaining ownership for reliability and operability once deployed, • Work closely with product managers, data scientists, ML engineers, and other stakeholders to understand requirements and prioritize use cases., • Develop secure, testable services and libraries that integrate LLMs, tool use, RAG, and agentic workflows., • Build end-to-end RAG/Agentic RAG pipelines: chunking and indexing, retrieval tuning, re-ranking, grounding checks., • Implement optimization strategies to fine-tune generative models for specific NLP use cases, ensuring high-quality outputs in summarization and text generation., • Mentor and uplift junior engineers through design reviews, code reviews, pairing, and coaching, raising engineering quality and delivery discipline across the team., • Implement monitoring mechanisms to track AI solution performance in real-time to ensure reliability and compliance., • Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences., • Stay informed about the latest trends and advancements in the latest AI/ML/LLM/GenAI research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality., • Proven delivery of LLM-enabled applications using agentic patterns, including tool use, orchestration, guardrails, and structured outputs., • Hands-on experience building and operating MCP integrations reliably in production., • Hands-on experience on data-driven software/systems engineering experience delivering production services in secure, regulated environments., • Expertise in Python engineering skills, including production-grade design, testing, debugging, and performance tuning/optimization., • Advanced prompt engineering capabilities, including system prompts, few-shot prompting, tool/function calling, and schema-constrained outputs (e.g., JSON Schema)., • Understanding of agentic AI system layers and concepts, such as context management, harness design, and loop engineering., • Experience building conversational AI solutions, including RAG, Agentic and Graph RAG techniques, • Experience building and scaling AI/ML workloads using distributed training/serving frameworks (e.g., Ray) and GPU acceleration (e.g., CUDA) environments., • Proficiency with modern AI system architectures and patterns, including RAG, agentic RAG, and multi-agent systems., • Familiarity with LLM evaluation methodologies across quality, safety, and reliability, including guardrails, content filtering, and Responsible AI practices., • Proficiency in GenAI/agentic AI engineering practices, including data sensitivity, secure handling of inputs/outputs, and adherence to resiliency and security requirements, • Demonstrated success driving adoption of enterprise-approved AI-assisted engineering tools (coding, review, testing, troubleshooting, • Financial Services industry experience, • Understanding of Finops for LLMs, • Good to have Java programming experience J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. #J-18808-Ljbffr

We're seeking someone to join as a Senior Load Balancing Engineer to support a multi-vendor Load Balancer environment responsible for providing services to both internal and external clients. In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Senior Load Balance Engineer position at Director level, which is part of the job family responsible for core infrastructure supporting Application Delivery across Morgan Stanley. You will integrate into the global follow the sun operations model, which translates to global responsibility for the aforementioned technologies in the respective regions. Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. • Lead the development of new ideas and/or policies in own area., • Supporting a high number of devices and application flows in an enterprise environment providing cloud-like experience for developers., • Using sophisticated network tooling to address network connectivity issues, fault analysis, failure avoidance, and the diagnosis and resolution of any other functionally impacting issues in distributed systems environments., • Working with an in-house application management system designed to simplify the deployment and management of application delivery components., • Users can model a configuration using the systems relational data model, control and monitor their services over the network via a GUI console., • Addressing L2 escalations- Process improvement, automation, scripting., • Writing technical documentation You Will also have the opportunity to work in a virtual global team, including several esteemed SMEs, using Jive, Twiki and SharePoint for collaboration., • At least 6 years’ relevant experience would generally be expected to find the skills required for this role., • Experience in executing IT strategy, delivery and complex initiatives., • Strong knowledge of TCP/IP protocols, particularly TCP and IP themselves, as well as HTTP and DNS., • Comfortable with system administration of Unix., • Deep understanding F5 BigIP and A10 Thunder Application Delivery Devices., • Administrative competence in at least one major programming language or platform (for example, Ansible, Perl, Python, Powershell, or C#)., • Strong organizational skills and the ability to manage multiple tasks and high-pressure situations for outage handling, management or resolution., • Effective time management skills to prioritize meetings for numerous projects, supporting user requests, addressing incidents, work on projects, as well as documentation., • Effective communication with various user groups (developers, engineers) as well as remote team members., • Drive to learn about new technologies, techniques and what it takes to be an integral member of this team. #GLTECH #HYBRID #LI-FT1 At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated - and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste about-us/global-offices into your browser. If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks. Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more. Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents. Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences. For more information, please visit: people-opportunities/eeo. #J-18808-Ljbffr

Based within the University of Glasgow's Centre for Data Science and Artificial Intelligence (AI), and working closely with Research Computing as a Service (RCaaS) teams, make a leading contribution to the creation and delivery of world changing research by applying digital and scientific expertise to provide data driven solutions which can be applied to research questions and challenges. . The postholder will work with the researchers and the experts at the Centre for Data Science and AI and RCaaS in order to support the research projects that contribute data driven solution to the grand challenges that are aligned with the visions of the centre and within the six key Data Science and AI areas; Health and Life Sciences, Social Sciences and Economics, Engineering and Physical Sciences, Arts and Humanities, Innovation and Impact, and the Science of Data Science and AI. • 1. Initiate, maintain, and co-lead collaborative research projects, within the research community, acting as a scientific partner to develop and maintain high-quality, well-tested software as a research tool or output, with software development projects. (At Grade 7 - Contribute to collaborative research projects), • 2. Collaborate with Principal Investigators (PIs) to make a leading contribution to the identification of potential funding sources and to assist in the development of proposals to secure funding from internal and external bodies to support the Centre for Data Science and AI and RCaaS, and the research software engineering strategy and core research outputs of the University of Glasgow. (At Grade 7 - Contribute to the identification of potential funding sources), • 3. Present, disseminate and explain the team’s work through presentations, reports and well-documented software packages., • 4. Develop and maintain relationships with research colleagues to lobby and evangelise for better software practices and play a leading role in the development of the community of practice and broadening outreach efforts for research software engineering best practices, taking distinct responsibility for leading significant strands of the community of practice. (At Grade 7 - Develop and maintain relationships with research colleagues to lobby and evangelise for better software practices and to encourage and enhance a community of practice for research software engineering within the College)., • 5. Develop and deliver training to research colleagues to support the development of computational and software engineering skills in the academic community., • 6. Undertake knowledge transfer within the team and appropriate external colleagues such as those within the University’s Shared Research Facilities and the RCaaS group in appropriate venues including training programmes, tutorials, hackathons and data study groups., • 7. Advise on and develop plans to enable research colleagues to use high-performance computing facilities in the Schools, College, University and wider computing centres., • 8. Support and contribute to open research, such as by applying FAIR (findable, accessible, interoperable and reusable) principles of research data and tools, within the Centre., • 9. Develop and enhance the profile and reputation of self, the Centre for Data Science and AI, RCaaS, and the University of Glasgow, including establishing and sustaining a track record of making a specialist contribution to publications of international quality in high profile/quality refereed journals, enhancing the research impact in terms of economic/societal benefit, and gathering indicators of esteem., • (At Grade 8 only) - Support the Centre for Data Science and AI, Research Software Engineering Lead and wider RCaaS group by playing a leading role in aspects of project management., • Contribute to the enhancement of the University’s international profile in line with the University’s Strategic Plan, World Changers Together., • A1. Postgraduate qualification SCQF level 12(PhD) in a related Computer Science, Engineering or STEM subject or alternatively possess the equivalent in professional qualifications and experience, with experience of personal development in a similar or related role., • A2. Excellent knowledge of applying state-of-the-art and novel data science and AI techniques emerging from research teams and elsewhere., • A3. Breadth and/or depth of knowledge of programming languages (including Python, R, C++, Java, Julia, C), frameworks, platforms and tools, high performance computing and cloud platforms to realise collaborators' data science and AI research at scale., • A4. Knowledge of software development practices for research and innovation including environments with multiple access, version control, issue tracking, testing and documentation., • A5. Expert knowledge of software development practices including version control, issue tracking, testing and documentation., • A6. Extensive knowledge of best practice approaches to support research colleagues with the use of secure high performance computing environments for advanced research., • A7. Knowledge of scaling and optimising software to take advantage of GPU / HPC infrastructure., • B1. Knowledge of Trusted Research Environments out with or within an HPC environment., • C1. Excellent written and verbal communication skills including the ability to present complex or technical information, and to communicate effectively with diverse audiences., • C2. Ability to work independently on own initiative and to strict deadlines., • C3. Ability to work effectively both as part of a team and in cross collaboration with other teams as required by the role., • C4. Ability to build relationships and research collaborations within an organisation and wider community., • C5. Ability to take a proactive approach to managing stakeholders and their requirements and identifying opportunities for collaboration., • C6. Ability to negotiate and influence others., • C7. Ability to think strategically and lead on a particular project or area of research in collaboration with PIs., • C8. Ability to provide technical project management and leadership for multiple concurrent projects, through workload management skills with proven ability to prioritise demands and meet deadlines., • E1. Research experience aligned to the goals of at least one of the Centre for Data Science and AI’s programmes with commensurate output., • E2. Experience in machine learning and AI, including experience in machine learning software development., • E3. Experience in training deep learning models relevant in research projects., • E4. Experience of applying good software engineering practices including but not limited to devising and applying rigorous testing methods., • E5. Substantial research experience aligned to the goals of at least one of the Centre for Data Science and AI’s programmes with commensurate output., • E6. Substantial experience in machine learning and AI, including experience in machine learning software development., • E7. Evidence of high-quality publications commensurate with career stage., • E8. Experience of collaborating with proven experience in providing technical project management and leadership for multiple research or software projects, ensuring successful research outcomes., • E9. Experience overseeing and supervising more junior colleagues., • E10. Extensive experience working with large datasets., • E11. Experience of version control systems such as GitHub., • E12. Experience in running hackathons, data study groups, software upskilling tutorials or similar events., • F1. Experience of working on large software projects involving multiple developers., • F2. Experience of providing teaching and training of computational material, including introductory-level skills to those with minimal previous exposure. Informal enquiries should be directed to Paul Grimwood at Salary will be Grade 7/8, £41,064 - £46,049/£50,253 - £58,225 per annum. This post is full time (35 hours per week) and fixed term until 1 March 2029 in the first instance. The University of Glasgow has a responsibility to ensure that all employees are eligible to live and work in the UK. If you require a Skilled Worker visa to work in the UK, you will be required to meet the eligibility requirements of the visa route to be assigned a Certificate of Sponsorship. Please note that this post may be eligible to be sponsored under the Skilled Worker visa route if tradeable points can be used under the Skilled Worker visa rules. For more information please visit: skilled-worker-visa As a valued member of our team, you can expect: 1 A warm welcoming and engaging organisational culture, where your talents are developed and nurtured, and success is celebrated and shared. 2 An excellent employment package with generous terms and conditions including 41 days of leave for full time staff, pension - pensions handbook myglasgow/payandpensions/pensions/, benefits and discount packages. 3 A flexible approach to working. 4 A commitment to support your health and wellbeing, including a free 6-month UofG Sport membership for all new staff joining the University myglasgow/staff/healthwellbeing/. We believe that we can only reach our full potential through the talents of all. Equality, diversity and inclusion are at the heart of our values. Applications are particularly welcome from across our communities and in particular people from the Black, Asian and Minority Ethnic (BAME) community, and other protected characteristics who are under-represented within the University. Read more on how the University promotes and embeds all aspects of equality and diversity within our community myglasgow/humanresources/equalitydiversity/ We endorse the principles of Athena Swan myglasgow/humanresources/equalitydiversity/athenaswan/ and hold bronze, silver and gold awards across the University. We are investing in our organisation, and we will invest in you too. Please visit our website explore/jobs/ for more information. Closing Date: 7 October 2026 at 23:45pm #J-18808-Ljbffr

Join a team that is redefining what's possible in cloud infrastructure engineering — where your contributions directly shape the technology powering global fixed income markets. At JPMorganChase, you'll work alongside talented engineers and product owners in a collaborative, growth-oriented environment that values curiosity, inclusion, and technical excellence. This is an exciting opportunity to build your skills in cloud-native infrastructure at scale, contribute to cutting-edge financial technology, and grow across both infrastructure and application development. If you're passionate about building resilient systems and want your work to have real-world impact, this is the role for you. Join a team that is redefining what's possible in cloud infrastructure engineering — where your contributions directly shape the technology powering global fixed income markets. At JPMorganChase, you'll work alongside talented engineers and product owners in a collaborative, growth-oriented environment that values curiosity, inclusion, and technical excellence. This is an exciting opportunity to build your skills in cloud-native infrastructure at scale, contribute to cutting-edge financial technology, and grow across both infrastructure and application development. If you're passionate about building resilient systems and want your work to have real-world impact, this is the role for you. As a Software Engineer II at JPMorganChase within the Global Technology team, you will be a key contributor on the infrastructure side of the team, supporting the cloud infrastructure that underpins Portfolio Management capabilities for the Fixed Income business. You will help build, manage, and support the AWS infrastructure for various portfolio management services — including what-if analysis, order sizing, automated pre-trade compliance checks, and order submission — ensuring these systems are reliable, scalable, and production-ready. You will be part of a cross-functional team of engineers and product owners building the Spectrum Portfolio Management Fixed Income product, working primarily on a large, Terraform-driven estate on AWS, with the opportunity to grow into server-side development in Java (Spring Boot) and Kotlin over time. • Build and maintain scalable, resilient AWS infrastructure using Terraform as modular, single-purpose stacks, supporting core services such as EKS, RDS (including Oracle), ElastiCache, S3, EFS, Amazon MSK (managed Kafka), KMS, Secrets Manager, EventBridge, SNS, CloudWatch, and Lambda, • Support Amazon EKS lifecycle operations, including cluster version upgrades, node group and add-on updates, and remediation with minimal disruption to production workloads, • Monitor and support the health of the AWS estate, including triage, root-cause analysis, remediation, and participation in incident and problem management processes, • Contribute to the build and maintenance of CI/CD pipelines (e.g., Jenkins) that apply infrastructure changes safely and reliably, • Instrument the estate for observability using tools such as Datadog, CloudWatch, and Dynatrace, and use telemetry insights to support improvements to infrastructure hygiene, • Uses enterprise-authorized AI capabilities within the work environment to accelerate design comprehension and coding support (e.g., drafting unit tests and documentation), validating outputs and handling data according to sensitivity and security requirements, • Contribute to server-side development on the Spectrum Portfolio Management Fixed Income product (Java and/or Kotlin, Spring Boot) as your skills expand, • Support a team culture of diversity, inclusion, opportunity, and respect, • Formal training or certification on software engineering concepts and expanding applied experience, • Foundational, hands-on experience with Infrastructure as Code using Terraform — writing, structuring, and maintaining stacks to provision and manage cloud resources, • Working knowledge of core AWS services including EC2/networking (VPC), IAM, RDS, S3, KMS, Secrets Manager, and CloudWatch, • Foundational experience with Amazon EKS and Kubernetes, including deploying workloads and supporting cluster operations, • Practical experience working with cloud infrastructure on AWS in a production or near-production environment, • Familiarity with production readiness practices including observability (metrics, tracing, logging) and incident management in distributed systems, • Working knowledge of using enterprise-authorized AI capabilities within the work environment to support software engineering workflows with strong validation habits and awareness of data sensitivity, • Ability to review and validate AI-assisted code and technical recommendations before use, escalating when uncertain and following security and data handling requirements, • Experience with relational databases in the cloud (e.g., Oracle on RDS, SQL fundamentals) and event-driven messaging platforms (e.g., Amazon MSK/Kafka, EventBridge, SNS), • Familiarity with containerization and platform engineering patterns (Docker, Kubernetes, Helm) and scripting for automation (e.g., Python), • Familiarity with server-side development in Java and/or Kotlin using the Spring Boot ecosystem, • Exposure to multi-region or disaster-recovery architecture patterns with automated failover, • Domain awareness in financial services, including capital markets, trading workflows, or portfolio management concepts J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals. #J-18808-Ljbffr

Base Location: Glasgow, Perth or Reading. You'll be expected to spend 50% of your working week in one of these locations. Salary: £50,964 - £60,899 + a range of benefits to support your finances, wellbeing and family. Working Pattern: Permanent | Full Time | Flexible First options available Are you passionate about using data to drive real-world impact? Join our Asset Analysis Team as an Asset Analyst and play a pivotal role in maximising the performance and reliability of our electricity network. You'll lead on delivering actionable insights, shaping investment decisions, and supporting the transition to a low-carbon future. • Deliver Network Asset Risk Metric (NARM) regulatory reporting, analysis and asset performance insights to support evidence-based asset management decisions and investment planning., • Develop forecasts, scenario analysis and analytical models to identify asset risks, opportunities and emerging trends across the network., • Support the development of long-term asset strategies and intervention plans that balance risk, cost, performance and customer outcomes., • Produce and continuously improve dashboards, reporting processes and data visualisation solutions to meet business, policy and regulatory requirements., • Build strong stakeholder relationships, communicating complex technical findings clearly to support decision-making across the business., • A degree (Bachelors/Masters/PhD) in a STEM subject and significant experience in asset management, infrastructure or a regulated utility environment., • Strong analytical and problem-solving skills, with experience using Python, SQL and data visualisation tools such as Power BI or Tableau., • Knowledge of CNAIM and NARM methodologies, and how they support asset risk management, regulatory performance and investment decisions., • Experience of enterprise asset and operational systems such as SAP, Maximo, ArcGIS or equivalent platforms, with the ability to turn complex data into actionable insight., • Excellent communication and stakeholder engagement skills, coupled with a collaborative, proactive mindset and commitment to continuous improvement. SSE's purpose is to be restless every day until we make electricity clean, affordable and available for all. We do this by developing, building, operating and investing in electricity infrastructure and businesses needed in the energy transition. This includes electricity transmission and distribution networks, onshore and offshore wind farms, hydro-electric power and flexible thermal generation. We also provide products and services for businesses and other customers. Our investment plan will see SSE invest £33bn in critical electricity infrastructure to 2030. SSEN Distribution, part of the wider SSE group, powers 3.9 million UK homes and businesses. Our team of more than 4,200 skilled engineers, customer service advisors and technical specialists keep customers connected to a safe, reliable supply of electricity while investing in and developing the flexible networks needed for our low carbon future. Enjoy discounts on private healthcare and gym memberships. Wellbeing benefits like a free online GP and 24/7 counselling service. Interest-free loans on tech and transport season tickets, or a new bike with our Cycle to Work scheme. As well as generous family entitlements such as maternity and adoption pay, and paternity leave. SSE will make any reasonable adjustments you need to ensure that your application and experience with us is positive. Please contact / to discuss how we can support you. We're dedicated to fostering an open and inclusive workplace where people from all backgrounds can thrive. We create equal opportunities for everyone to succeed and especially welcome applications from those who may not be well represented in our workforce or industry. #LI-DIST #LI-LM2 #LI-Hybrid #DISTASSET #J-18808-Ljbffr

Direct message the job poster from Amici Procurement Solutions UK remote (willing to travel to Glasgow office once per quarter) We’re looking for a talented Senior Java Developer to join a growing tech team working on an exciting new platform. This is an opportunity to work with cutting-edge search technologies and large-scale data processing while contributing to a product that makes a real impact. Your Role As a Senior Java Developer, you’ll play a key role in designing, building, and maintaining a robust data platform that powers our core products. You’ll collaborate with cross-functional teams to create highly performant and scalable solutions. Key Responsibilities: • Deliver high-quality, well-structured code using Agile and TDD practices, • Develop new features across the full stack, from React/TypeScript front-end to Java-based backend services, • Build and optimize search solutions using technologies like Apache Lucene, Solr, or OpenSearch, • Design and implement data pipelines in collaboration with Data Engineers, • Work with cloud technologies (Azure, AWS, or GCP) for scalable data processing, • Conduct code reviews, participate in pair programming, and mentor junior developers, • Support operational stability, ensuring smooth deployment and maintenance of production systems Your background • Strong Java development experience in a professional setting, • Exposure to Python for data processing is a plus, • Experience working with large-scale data workflows for search or analytics, • Familiarity with search technologies (Apache Lucene, Solr, Elasticsearch, OpenSearch), • Hands-on experience with SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, CosmosDB, etc.), • Experience in Agile and DevOps environments with a focus on automated testing Why This role? • Be part of a highly skilled team developing a modern data and search platform, • Work on vector search and machine learning applications, • A culture that values innovation, collaboration, and continuous learning What’s In It for You? • Competitive salary & benefits package, • A chance to work with cutting-edge technologies in a fast-moving, innovative environment, • The opportunity to make a real impact on a platform used by industry-leading biotech companies If you’re passionate about building high-performance applications and working with the latest in search and data technology, we’d love to hear from you!UK remote (willing to travel to Glasgow office once per quarter) We’re looking for a talented Senior Java Developer to join a growing tech team working on an exciting new platform. This is an opportunity to work with cutting-edge search technologies and large-scale data processing while contributing to a product that makes a real impact. Your Role As a Senior Java Developer, you’ll play a key role in designing, building, and maintaining a robust data platform that powers our core products. You’ll collaborate with cross-functional teams to create highly performant and scalable solutions. Key Responsibilities: • Deliver high-quality, well-structured code using Agile and TDD practices, • Develop new features across the full stack, from React/TypeScript front-end to Java-based backend services, • Build and optimize search solutions using technologies like Apache Lucene, Solr, or OpenSearch, • Design and implement data pipelines in collaboration with Data Engineers, • Work with cloud technologies (Azure, AWS, or GCP) for scalable data processing, • Conduct code reviews, participate in pair programming, and mentor junior developers, • Support operational stability, ensuring smooth deployment and maintenance of production systems Your background • Strong Java development experience in a professional setting, • Exposure to Python for data processing is a plus, • Experience working with large-scale data workflows for search or analytics, • Familiarity with search technologies (Apache Lucene, Solr, Elasticsearch, OpenSearch), • Hands-on experience with SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, CosmosDB, etc.), • Experience in Agile and DevOps environments with a focus on automated testing Why This role? • Be part of a highly skilled team developing a modern data and search platform, • Work on vector search and machine learning applications, • A culture that values innovation, collaboration, and continuous learning What’s In It for You? • Competitive salary & benefits package, • A chance to work with cutting-edge technologies in a fast-moving, innovative environment, • The opportunity to make a real impact on a platform used by industry-leading biotech companies If you’re passionate about building high-performance applications and working with the latest in search and data technology, we’d love to hear from you! • Mid-Senior level, • Full-time, • Information Technology, • Software Development Referrals increase your chances of interviewing at Amici Procurement Solutions by 2x Get notified about new Java Software Engineer jobs in Glasgow, Scotland, United Kingdom. Glasgow, Scotland, United Kingdom 2 weeks ago Glasgow, Scotland, United Kingdom 1 day ago Glasgow, Scotland, United Kingdom 1 week ago Glasgow, Scotland, United Kingdom 1 week ago Glasgow, Scotland, United Kingdom 1 day ago Glasgow, Scotland, United Kingdom 1 day ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

JPMorganChase is one of the world’s leading financial services firms, and the technology that powers it demands the highest standards of reliability, performance, and scale. Here, you will work alongside talented engineers who are passionate about building systems that never sleep — and you will have the opportunity to grow your career while solving some of the most complex infrastructure challenges in the industry. We invest in our people, our platforms, and our future — and we want you to be part of it. As a Lead Site Reliability Engineer at JPMorganChase, you will play a critical role in ensuring the availability, performance, and resilience of production systems that serve millions of customers and clients globally. You will partner with engineering and product teams to embed reliability practices into the software development lifecycle, driving a culture of operational excellence. Your work will directly impact the firm’s ability to deliver seamless, uninterrupted services at enterprise scale. • Lead the design and implementation of scalable, reliable, and observable infrastructure solutions that meet the firm’s availability and performance standards, • Define and enforce service level objectives, error budgets, and reliability targets in partnership with engineering and product stakeholders, • Drive incident response, root cause analysis, and post-incident reviews to identify systemic improvements and reduce mean time to recovery, • Develop and maintain automation frameworks to eliminate toil, improve deployment pipelines, and accelerate delivery velocity, • Collaborate cross-functionally with software engineering, architecture, and security teams to embed reliability and resiliency principles early in the design process, • Champion observability practices by building and maintaining monitoring, alerting, and dashboarding solutions that provide actionable insights into system health, • Mentor and guide junior engineers, fostering a culture of continuous learning, operational discipline, and engineering excellence, • Evaluate and influence platform and tooling decisions to ensure alignment with reliability, scalability, and security requirements, • Leverage enterprise-authorized AI-assisted engineering practices to improve operational outcomes, including incident triage support, test strategy acceleration, and delivery workflow optimization, while ensuring consistent validation and secure handling of inputs and outputs, • Formal training or certification on site reliability engineering concepts and advanced applied experience, • Hands-on experience designing and operating large-scale distributed systems with a strong focus on availability, fault tolerance, and performance, • Proficiency in one or more programming or scripting languages (e.g., Python, Go, Java, Bash) for automation and tooling development, • Experience defining and managing service level indicators, service level objectives, and error budgets in production environments, • Strong background in observability tooling, including metrics, logging, and distributed tracing platforms, • Demonstrated experience leading incident response processes, conducting blameless post-mortems, and driving systemic reliability improvements, • Experience with container orchestration and infrastructure-as-code practices (e.g., Kubernetes, Terraform, or equivalent), • Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders, • Experience operating in a regulated financial services or similarly complex enterprise environment, • Familiarity with chaos engineering principles and tools used to proactively test system resilience, • Exposure to cloud-native architectures and multi-cloud or hybrid infrastructure environments, • Experience contributing to platform engineering or internal developer tooling initiatives, • Background in capacity planning, performance engineering, or cost optimization at scale #J-18808-Ljbffr

Work Type: Hybrid / Open for full-time & Contract At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,700+ and has 55 offices in 20 countries within key global markets. For more information on the company, please visit our website or LinkedIn community. Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and an affirmative-action employer. Our Diversity, Equity, and Inclusion (DEI) initiative 'Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We are seeking a multi-talented developer that will focus on designing and developing highly available and scalable solutions to manage the firm wide storage repository including storage provisioning, monitoring, alerting, auditing, inventorying, etc. In addition to architecting and integrating a storage solution working with 3rd party vendors, the candidate will develop in-house applications that will become part of the technology platform for the business. The ideal candidate will also design storage tools on problem management and preventive maintenance (alert and capacity management). Additionally, the candidate needs to understand storage virtualization, automation, storage provisioning, distributed and scale-out file systems, software defined storage solutions, emerging technologies in infrastructure automation, observability, etc. Ability to work as part of a global team is a requirement. In addition, the candidate must be able to listen to customer requirements and be able to advise, discuss and articulate technical solutions effectively. It would also be desirable that the candidate has relevant experience (intermediate to advanced preferred) in deploying, operating, and administering a Linux operating system in an enterprise level ecosystem. • Experienced in software development and proficient in one or more of the following programming languages - Python, Perl, • Experience with SDLC (software development lifecycle) best practices with large software development projects is a must., • Good knowledge in Computer Science fundamental, • Good organizational and English communication skills, prioritization of multiple projects and objective., • Familiarity with Object Oriented concepts and SQL programming ., • Knowledge of storage technologies and disciplines namely, Fibre Channel, ISCSI, SCSI, NFS, CIFS, POSIX, Object Storage, SAS, SATA, FLASH (NVME, SSD, etc.), RAID, Erasure Coding, Distributed/Scale-out Storage, File systems, High-availability methods, working knowledge of databases etc. are strongly preferred., • Understanding networking protocols and connectivity preferred., • System Architecture experience within enterprise UNIX (RHEL)/Windows Server environments, Container environments (RH Open Shift/Kubernetes/Docker, etc.) and Cloud environments (Azure/AWS/Google) is highly desirable but not required., • Understanding of Client/Server, Scale-out architectures, virtualization, performance, and capacity management strongly preferred., • Effective troubleshooting skills across O/S, network, and storage., • Knowledge in the following vendor products is preferred but not required: NetApp 7mode/cDOT/Engenio, IBM Spectrum Scale (aka GPFS), HDS Storage Arrays/HCP, EMC Atmos, Brocade SAN/FOS, Veritas Storage Foundation Suite, Sybase, DB2. Skills Proficiency: Advanced (in Programming)/Intermediate + (in Storage and/or Linux). #J-18808-Ljbffr

PurposeThe Customer Service Lead Analyst will lead a newly formed data team at a pivotal point in its development. They will shape how the team works and lead the move from reactive, spreadsheet-led reporting to modern reporting and useful insight that helps Customer Service improve performance. The postholder will be expected to bring their own ideas and experience, make the best use of the tools available and identify practical solutions. They will lead the development of trusted reporting systems and dashboards using Tableau, Power BI and other appropriate tools. They will then lead the team to use the data available to understand what is happening, identify where improvement is needed and turn this into clear recommendations for operational teams. Working alongside those teams, they will support action through to delivery and measure whether it has improved performance and customer outcomes. The role will set priorities, manage workload, assure quality and develop the team. It will also provide leadership for regulatory, executive and business-critical reporting and represent Performance, Reporting & Insight on key projects.Responsibilities Performance Reporting & InsightLead the delivery of accurate, timely and meaningful reporting and insight, providing a single trusted view of performance across Customer Service. Ensure outputs support operational control, customer outcomes, regulatory obligations and strategic decisions.Stakeholder Management & Business PartneringBuild strong relationships across Customer Service and wider business functions. Act as a trusted adviser to senior leaders, understand the decisions they need to make and ensure reporting and insight translate into action.Reporting & VisualisationLead the design and development of dashboards, scorecards, KPI reporting and data visualisations using appropriate analytical tools. Ensure outputs are intuitive, proportionate and focused on the decisions and actions they support. Regulatory Reporting & GovernanceProvide analytical oversight and assurance for regulatory, executive and external reporting. Maintain clear definitions, ownership, controls and audit trails so that performance information is accurate, consistent and trusted. Technical Leadership & Analytical ExcellenceSet technical standards across reporting, analytics and business intelligence. Establish appropriate methodologies and quality assurance, act as the escalation point for complex analytical issues and develop capability across the team.Analysis & Continuous ImprovementInterrogate complex datasets to identify trends, root causes, risks and opportunities. Convert findings into evidence-based recommendations that improve customer outcomes, operational performance and efficiency, and track whether interventions deliver the intended result.Operational Incident & Event SupportLead the provision of timely analytical support during major incidents, storms and business-critical events. Ensure leaders have access to clear, accurate and appropriately controlled real-time information for decision-making, prioritisation and customer communications.Strategic Projects & Insight LeadershipRepresent Performance, Reporting & Insight on high-profile and business-critical projects. Define data and reporting requirements early, challenge assumptions and ensure data-led thinking is embedded throughout delivery.Team Leadership & Capability DevelopmentLead, coach and develop the data team. Set clear priorities and accountabilities, manage workload and resources, assure delivery and build a high-performing culture with strong technical and business capability.Innovation & TechnologyDrive proportionate adoption of modern reporting and analytical technologies. Reduce manual effort through automation, improve the usability of reporting products and expand effective self-service insight while maintaining governance and control.What You'll Bring• Significant experience in a senior data, reporting, analytics, business intelligence or insight role, including leadership of people, projects or complex analytical workstreams.• Proven ability to lead a data team, set priorities, manage competing demand, assure quality and develop others.• Advanced analytical capability, including interrogating complex datasets, identifying trends and root causes and translating evidence into clear recommendations.• Expert Excel capability and strong experience developing dashboards, visualisations and reporting solutions using Tableau, Power BI or comparable tools.• Practical experience of data querying, transformation and automation using tools such as SQL, Power Query, R or Python.• Strong understanding of data structures, KPI design, reporting methodologies, data quality and governance, with the judgement to apply proportionate controls.• Demonstrable business partnering skills, with the ability to understand operational, customer and regulatory context rather than analyse data in isolation• Experience presenting complex findings and recommendations to senior stakeholders and influencing decisions through concise, evidence-based communication.• A track record of using reporting and insight to improve performance, customer outcomes or operational efficiency, including measuring whether changes delivered the expected benefit.• A degree in Data Analytics, Mathematics, Statistics, Computer Science, Business Analytics or a related discipline, or equivalent practical experience. ## What's in it for youAs well as an attractive salary which is reviewed annually, you can also enjoy a number of other benefits. With our pension scheme, we'll double match your contribution up to a company contribution of 10%. At ScottishPower, we believe it's the little things we do in life that make a big difference. From helping you look after your family's wellbeing, save for your future and take personal steps for climate action -- our benefits are designed to help you do just that - so that you have everything you need to take care of your world -- today and tomorrow. That's why our benefits include: 36 days annual leave Holiday Purchase - perfect your work/life balance with extra annual leave Equity Plans Payroll Giving and Charity Matched Funding Technology Vouchers - save more and spread the cost of your technology purchases Electric Vehicle Schemes - to help you transition to green/clean driving Cycle to Work scheme and Public Transport Season Ticket Loans Healthcare benefit options including: Dental Insurance, Private Medical Insurance, Health Cash Plan and annual Health Assessments Life Assurance (4x salary) Access to Savesmart financial wellbeing assistance* Plus shopping, leisure, restaurant and gym discounts, and unique employee deals on travel insurance and more ## Why SP Energy NetworksSP Energy Networks is part of the Iberdrola Group, one of the world's largest integrated utility companies and a world pioneer in wind energy. We keep electricity flowing to homes and businesses through Central and Southern Scotland, North Wales and in the North West of England. We operate over 4000km of cables and lines that make-up the transmission network - infrastructure like wind farms into the electricity system. It's a role that puts us right at the heart of Scotland's goal to be Net Zero by 2044. And we're taking it very seriously. We're investing >£5.5 billion into our transmission network, directly enabling the rapid growth needed in renewable energy. With diverse opportunities across our businesses and a focus on investing in our own internal talent, ScottishPower can offer people real career opportunities that meet personal and professional goals, in a global organisation. Inclusion, diversity, and a social purpose are at the heart of everything we do. Combined with our values, they bring us into a stronger, more sustainable business with direct links to the communities we serve. It takes all backgrounds of people to build a large-scale business like ours, so whatever your background, you'll fit right in. We are dedicated to providing reasonable adjustments in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions, or who are neurodivergent or require pregnancy-related accommodations. If you need assistance, please reach out to .MobilityPlease note that any applicant who is not a citizen of the country of the vacancy will be subject to compliance with the applicable immigration requirements to legally work in that country. If/when required, the Company will support the employee with the necessary Immigration requirements. #J-18808-Ljbffr