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We help companies get compensation right. What we get paid at work has a massive impact on our lives, and it’s one of the biggest factors in hiring and retaining talent - and yet so many companies struggle to get it right. They simply have no choice but to rely on poor data and unsophisticated tools for their pay decisions. That’s why we created Ravio. We help many of the world’s most innovative and ambitious companies build stronger teams and reach their goals through better compensation. Our real-time data platform brings compensation into the modern age, tracking the market across all compensation types from salary to equity and benefits. Ravio is growing fast, which means you can too. We’ve established ourselves as the European leader in our space serving more than 1,200 clients, and now have our sights set on becoming the global go to place for compensation data and tools for managing compensation. Joining a startup and scaling it into a global product is one of the most challenging and rewarding experiences a career can offer. If that sounds exciting to you, you’re in the right place. The role We’re looking for a Staff Software Engineer to join our engineering team and play a major role in our technical leadership during a significant platform shift. Ravio is moving from a traditional SaaS posture to a platform built around agents - parent agents fronting our compensation data, specialist agents underneath, durable workflows, an MCP-based tool layer, and an eval harness to maintain consistency. You’ll own architecture and technical design across the stack: the customer-facing web app, the agentic platform, and the shared infrastructure connecting them. You’ll bring system design depth - the kind that holds up under load, failure, and coordination across services and teams. You’ll continue to raise the bar on code quality, reliability, and the technical decisions that shape what we ship. This is a hands-on individual contributor role - leading technical decision-making and tackling the hardest problems we encounter. There are also upcoming opportunities to move into management as our company continues to grow, if you wish. Requirements 8+ years commercial engineering experience, with a track record of technical leadership during platform shifts - owning architecture, driving decisions, raising the bar through code review and design review, especially where LLM assisted engineering has become the standard System design depth as your headline strength. Concrete: durability and consistency under failure, multi-service orchestration, data platforms, performance and cost at scale, observability and ops fluency Senior-level fluency in TypeScript and Node, comfortable across the backend (PostgreSQL, GraphQL or HTTP APIs, GCP-shaped infra) Comfortable owning code in a distributed monorepo with multiple deployable services Ships fast under product pressure - we’re moving from PMF to scale and the role needs that pace Nice to have Production experience with agentic systems - tool calling, multi-step orchestration, LLM evals. Workflow engines (Temporal, Cadence, Step Functions) - even if not Temporal specifically MCP, Anthropic SDK, or other LLM platform work Building developer platforms, internal SDKs, or framework-shaped surfaces Eval-driven development, prompt engineering at scale, LLM-judge harnesses React or another modern frontend framework Our tech stack Frontend React Typescript GraphQL (Apollo Client) Playwright Jest Storybook + Chromatic Mantine GCP (Cloud Run) Backend Typescript PostgreSQL GraphQL Yoga Jest Auth0 GCP (Cloud Run, Cloud SQL, Cloud Storage + more) AI / agentic platform Opus/GPT/Gemini/and many more model families Vertex/Bedrock/Foundry - Cloud deployed models Temporal - durable workflow engine MCP servers as the tool layer AI gateway (Bifrost) for logging, routing, governance Eval harness (Phoenix) - golden queries, LLM-as-judge Memory layer (Neo4j) All the other good stuff GitHub Actions Datadog Figma Slack Linear The opportunity at Ravio right now From your perspective, there are three critical things to look for when evaluating this role: a company going places, a strong engineering culture, and a role that gives you a true opportunity to have impact as a technical leader. Ultimately it’s for you to decide whether that’s true in our two-way street interview process. Here’s a summary of where we are right now and what you can expect as a starting point. There’s a lot happening at Ravio right now. We’ve just raised our Series A led by tier 1 US investors Spark Capital, and have acquired the benchmarking business of our competitor - Compete. We’ve got new joiners starting almost every week, and we’re rapidly expanding outside of our core markets in Europe. We need you to help us maintain our velocity and continue to build a scalable org and product. Our core benchmarking product is at product-market fit, and we have a couple of new modules in the 0-1 phase. This means we’re at an exciting stage that involves 0-to-1 building in some areas, and building for scale in others. That’s true across the business, we’re continuing to expand and experiment, while systemising and doubling down on what is already working well from our seed phase. Beyond the core product, we’re building Ravio’s agentic platform - parent agents fronting our compensation data with specialist agents underneath, durable workflows on Temporal, an MCP-based tool layer, and an eval harness to maintain consistency. It’s a platform engineering effort with the same care and rigour we apply to the rest of the product. A Staff engineer joining now would help shape the foundations of how Ravio’s product is built for the next phase. We’d like to think Ravio is a great place to be a Staff engineer - we have technical leaders who know first hand the importance of creating space and focus for engineering teams to do their best work. And you’ll be working alongside many accomplished and world class teammates, who are energised by the work they do and have a high bar for themselves and their colleagues. Why join Ravio? Shape an agentic platform from its early stages, with senior engineering peers and a high autonomy bar. Opportunity for fast-tracked professional growth at a scaleup backed by world-class investors alongside a smart, energetic team. Blend of IC work and leadership, giving you both hands-on impact and career growth. Remote-friendly, flexible work culture with a high degree of ownership. While we’re very focused, we also know how to have fun in the process. Build a meaningful product that helps people get paid fairly and competitively in their careers. £110,000 - £170,000 Company ownership (everyone gets a meaningful equity stake in Ravio) 37 days paid time off (25 days holiday + 4 wellness days + 8 public holidays) Up to 6% pension matching scheme £60 a month wellness allowance (Invest in your physical wellbeing, on us) £500 per year Learning and Development budget Private healthcare cover (on a medical history disregarded basis) with AXA Personal worldwide travel insurance - just in case Income protection insurance (for full peace of mind in case you cannot work because of sickness or disability) 16 weeks fully paid birthing parent leave, followed by 4 weeks at 50% pay. For non-birthing parents, we offer 8 weeks fully paid leave. For more information about what we collect and how we use it when you apply for a role with us, please refer to our_ #LI-Hybrid #LI-JC1

Description Location: Cambridge, UK – This position offers flexible working options, including predominantly remote work. Applicants are preferably based (or willing to relocate) within a comfortable commuting distance of our office to attend onsite as required. Want to build the engineering foundations that help teams across Jagex deliver better software, faster? As an Automation Engineer at Jagex, you’ll design, build, and evolve the automation systems, tools, and workflows that support an open-world experience in Unreal Engine across PC and console platforms. As our Lead Delivery Engineer, you’ll establish and lead a new Delivery Engineering function within our Developer Platform division. Your team will own the shared tooling, automation, standards, and engineering practices that help our game, platform, and product teams build, test, and release high-quality software with greater speed, confidence, and consistency. This is a genuinely greenfield opportunity where you'll grow and lead a multidisciplinary team of Automation Engineers, set its direction and priorities, and work with development leads across multiple products and technology stacks to solve delivery challenges and drive the adoption of modern engineering practices. What you’ll be doing: • Shape and execute the strategy for Delivery Engineering, establishing a clear roadmap that improves developer productivity, software quality, release reliability, and engineering consistency across Jagex., • Build and lead a growing team of Automation Engineers, developing the team’s capabilities across software automation, testing, continuous delivery, release engineering, and developer tooling., • Partner with game, platform, and product engineering teams to understand their delivery challenges, turning their needs into practical solutions that development teams trust, adopt, and benefit from., • Lead the development of reusable platforms, automation, and engineering standards, helping teams improve how they build, test, release, and operate software while retaining appropriate autonomy., • Modernise fragmented tooling and delivery practices across the business, reducing duplication and applying emerging technologies, including AI, where they can demonstrate measurable improvements in engineering productivity., • Define and track engineering effectiveness metrics, using data to demonstrate improvements in developer experience, delivery performance, software quality, and platform adoption. What we’re looking for: • Proven experience leading the design and evolution of automation platforms, engineering frameworks, or developer tooling within a modern software engineering environment., • Strong programming experience in one or more languages, such as C#, Java, Python, Go, or TypeScript, with the technical depth to guide teams in building scalable and maintainable engineering solutions., • Extensive experience with automated testing and continuous delivery, including test automation frameworks and CI/CD platforms such as GitHub Actions, TeamCity, Azure DevOps, or comparable technologies., • Practical experience with cloud-native engineering environments, including cloud platforms, Infrastructure as Code, configuration management, containerisation, and orchestration technologies such as Terraform, Ansible, Docker, or Kubernetes., • Demonstrable understanding of software architecture, distributed systems, and microservices, with experience making pragmatic technical decisions across complex or varied technology stacks., • Proven ability to lead technical initiatives and drive adoption, including defining engineering metrics, influencing across teams, and delivering measurable improvements in software delivery. What we offer: When you join Jagex you can look forward to a generous Perks & Benefits package including: • Private Healthcare, including Dental Plan., • Discretionary annual performance bonus., • Minimum 6% Pension contributions., • Life Insurance., • Enhanced family leave policies from day 1., • Flexible working hours., • 25 days annual leave + Bank holidays & the option to buy/sell holidays + so much more! Inclusion & Accessibility Statement We are committed to providing equal opportunities and creating an environment where everyone can thrive. We welcome applications from all backgrounds, and we recruit, develop, and promote based on merit and ability. If you require any reasonable adjustments to support you during the recruitment process, please let us know when you’re invited to interview. Right to Work Statement This role is only open to applicants who have the permanent right to work in the UK. We are unable to provide or take over visa sponsorship for this position, either now or in the future. Applicants must therefore be able to demonstrate their ongoing eligibility to work in the UK without the need for employer sponsorship. About Jagex We are Jagex: The RuneScape Company. Home to one of gaming’s most enduring success stories. We create deep, community-powered games with worlds that evolve, inspire, and endure. Our flagship MMORPG franchise, RuneScape, has welcomed over 300 million player accounts, inspiring generations of players across PC and mobile for 25 years. As we begin our 26th year, we are accelerating our strategy to expand RuneScape into a broader ecosystem of forever games and connected experiences, grounded in a renewed commitment to integrity and fair play. This includes the reduction of monetisation mechanics, as well as the launch of RuneScape: DragonWilds into Steam Early Access in 2025, representing a major step in building a multi-genre future for the RuneScape universe. We remain focused on building enduring worlds, empowering player-led innovation, and laying the foundations for the boldest era in RuneScape’s history. For more information, visit _ . Headquartered in Cambridge, United Kingdom, we are home to passionate creators, storytellers, engineers, and even a few dreamers, all united by a single mission to shape the future of online worlds and empower players to make them their own. We’re looking for people to join us who share our ambitions and values. We foster an inclusive workplace built on trust, autonomy, and a shared passion for creating experiences that inspire our communities. Our values guide everything we do: We Embrace Fellowship by collaborating and sharing openly. We Hone our Craft by always learning and improving; We Honour our Vows by being honest and transparent; We are our Customers’ Heroes by striving to understand our team & player needs, and We Seize The Day by making the most of every opportunity. Join us. The next era of RuneScape and the next chapter of Jagex: The RuneScape Company starts now.

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

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers, and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. Our achievements include being recognised as Fintech of the Year for two consecutive years and winning Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors, including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. As the adoption of AI accelerates in financial services, we’re scaling our team to meet growing demand. We're seeking a hands-on Senior AI Software Engineer with strong full-stack experience to build and ship AI-powered products into production, leveraging FinLLM (the UK's first LLM for Financial Services) and other LLMs. You won’t build or train models—instead, you'll engineer the systems, services, interfaces, and integrations that bring those models to life for advisers, analysts, and banking teams. You'll own features end-to-end, covering selection, implementation, deployment, observability, and iteration across backend, frontend, and cloud infrastructure. Build production-ready, AI-powered products integrating LLM capabilities, RAG, and agentic workflows into real-world processes. Select models, orchestrate prompts, design systems, and implement AI tooling (e.g., LangGraph, Langfuse). Design evaluation, monitoring, and observability to ensure reliability and readiness for production. Develop scalable, event-driven microservices and APIs using Node.js and TypeScript. Build modern, responsive React frontends to make AI useful in customer workflows. Architect cloud-native systems on AWS (Lambda, ECS/Fargate, API Gateway, SQS/SNS, DynamoDB, RDS). Implement microservices, distributed-system principles, and strong operational controls for integration into financial products. Uphold engineering best practices: clean code, automated testing, CI/CD, and operational excellence. Diagnose and improve production behaviours relating to reliability, latency, cost, and AI quality. Mentor engineers, contribute to team growth, and collaborate closely with product and engineering to deliver customer-ready features. Extensive software engineering background, building, deploying, and running production LLM/AI applications. Strong hands-on experience with Node.js, TypeScript, and production React. Experience with prompt engineering, agentic workflows, RAG, and LLM integration. Knowledge of AI evaluation frameworks, monitoring, and observability. Deep understanding of AWS, cloud-native engineering, APIs, and integration patterns. Experience with microservices, messaging patterns, event-driven, and distributed architectures. Commitment to quality, clean code, testing, and operational excellence. Experience with NestJS or similar backend frameworks. Familiarity with LangGraph, Langfuse, or other AI orchestration and observability tools. Knowledge of AI implementation in regulated/high-trust environments, ideally in financial services. Systematic evaluation design for LLM outputs and agentic workflows. Experience delivering agentic systems in production. Effective working in ambiguity and complex problem-solving. Designing robust solutions and making pragmatic technical choices. Clear communication with technical and non-technical stakeholders. Awareness of production AI challenges: reliability, latency, and cost. Technical mentorship, influencing decisions, and raising team standards. Relevant degree or equivalent practical experience (production engineering capability is more important than a specific academic background). Remote-first working across the UK Work abroad policy Co-working spaces available 34 days holiday (including flexible bank holidays) plus your birthday off Company-wide off-sites Optional Personal Development Plan Flexible benefits platform Protection essentials: Life Insurance, Income Protection, Critical Illness cover, and Pension (up to 5% matched employer contribution, with optional increases) Private health and dental care Potential share options Enhanced family leave At Aveni, we believe diversity drives innovation. We’re committed to building an inclusive workplace where everyone feels valued and empowered. If you’re passionate about using technology to drive positive change in financial services, we’d love to hear from you. Even if you don’t meet every requirement, please consider applying if you think this role could be a fit. Apply now to help us transform the financial services industry through AI!

Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver and Bangalore, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Company: Ema Unlimited Inc. Location: London Employment Type: Full-time/Remote Ema is building the world’s first Universal AI Employee — a production-grade agentic AI platform that automates real enterprise workflows across HR, IT, Finance, and Operations. Ema’s customers do not run demos. They replace mission-critical, manual business processes with agentic AI systems that operate across multiple SaaS tools, APIs, and human-in-the-loop workflows. In this world, support is not reactive. Support is production reliability, trust preservation, and system learning. At Ema, Senior Technical Support Specialists are operators of live AI systems, not ticket handlers. The Senior Support Engineer owns the health, reliability, and trustworthiness of Ema’s deployed agentic AI systems in production. This role sits at the intersection of: AI behavior Workflow orchestration Enterprise integrations Customer trust Engineering feedback loops This is: ❌ Not L1 / call-center support, ❌ Not a “just escalate to engineering” role, ❌ Not reactive firefighting only This is: A senior technical escalation role, A production debugging and RCA role, A partner to Engineering, Product, and Implementation, A role with real authority during incidents You are the last line of defense between a production issue and customer trust erosion You prevent small failures from turning into account-level crises You ensure learnings from incidents improve the product and delivery systemically Customers trust Ema because issues are handled competently and transparently AI failures are explained, mitigated, and prevented — not hand-waved Production stability improves over time, not degrades You gain rare experience operating agentic AI systems in production You build deep expertise across AI, integrations, and workflows You can grow into Reliability Engineering, Implementation Leadership, or Product-facing roles Diagnosing failures in multi-agent AI workflows Deeply understanding Ema’s platform and providing workarounds/alternate approaches to customers facing issues Debugging issues spanning: AI behavior (false positives / negatives) Workflow logic Integrations (HRIS, ITSM, IAM, Finance) Data quality Platform configuration Handling Sev-1 / Sev-2 customer specific incidents calmly under customer pressure Help Engineering & Product teams Prevent repeated incidents through disciplined RCA Converting noisy customer complaints into high-signal engineering feedback Own customer-reported issues from intake to resolution adhering strictly to SLAs Take responsibility for diagnosis, coordination, and closure; Importantly, provide workarounds to customers to unblock them while engineering fix is made Ensure no issue is “lost” between teams Act as technical owner even when multiple teams are involved Debug agentic workflows end-to-end Trace failures across agents, tools, integrations, and humans-in-the-loop Identify whether issues are caused by: Model behavior Prompt / policy logic Workflow orchestration Integration constraints Customer configuration Provide clear, actionable root cause summaries Resolve Sev 1 / Sev 2 Client issues; Escalate to the right team to help solve and close the issue. Keep customer communication calm, factual, and confidence-building Communicate during incidents without speculation or panic Explain AI failures in a way customers can understand Set realistic recovery timelines Rebuild trust post-incident through transparency and follow-through Write high-signal bug reports and incident summaries Advocate for fixes based on customer impact, not noise Help Product understand real production behavior Ensure support insights influence roadmap and quality improvement Improve runbooks, playbooks, and diagnostics Improve on-call hygiene and escalation clarity Mentor junior support engineers Raise the overall support bar at Ema Excellent debugging instincts Comfortable operating in ambiguous systems Able to isolate root cause across layers Issues do not bounce — they get owned Calm during incidents Bias toward permanent fixes Knows when to escalate and when not to Can say “we don’t know yet” credibly Communicates clearly with both engineers and customers Low ego, high accountability Truth-seeking over blame Respects both customer urgency and engineering quality 6–9+ years in senior technical support, reliability, or production engineering roles Experience supporting enterprise SaaS platforms in production Strong understanding of: APIs and integrations Distributed systems Logs, traces, and diagnostics Experience handling escalations and incidents Customer-facing experience with senior stakeholders Support or reliability roles in AI / automation platforms Experience with workflow orchestration or agentic systems Familiarity with AWS / GCP / Azure Background in high-availability, 24×7 systems Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

Description We’re looking for a Staff Software Engineer to help shape and build the shared engineering capabilities that underpin Our Future Health’s data platforms. This is an opportunity to combine hands-on software engineering with Staff level technical leadership, working on large-scale data systems and reusable tooling while helping multiple engineering teams solve complex problems effectively. Our Future Health is an ambitious collaboration between the public, charity and private sectors, designed to help people live healthier lives for longer through better prevention, earlier detection and improved treatment of diseases. We will speed up the discovery of new methods of early disease detection, and the evaluation of new diagnostic tools, to help identify and treat diseases early, when outcomes are usually better. With over 2.7M volunteers across the UK, we’re now the world’s biggest health research programme of its kind, and our volunteer group is also more diverse than other, similar health research programmes. Technology and data are central to our mission. Our systems power web sites, clinics across the UK, secure analytics and research systems, and pipelines that process highly sensitive health and genetic data, and we are continuing to grow our engineering capability to support this ambition. Our Data Product squads build and operate the technology that enables us to process and use large volumes of health and research data. As our engineering organisation evolves, we’re looking for a Staff Software Engineer who can help us build scalable, reusable engineering capabilities that can be shared across these teams. Essential Duties and Responsibilities Day to day work will vary depending on what your focus is at that time, but will include things like: • Guiding the technical decisions the team makes alongside the squad’s product manager and engineering manager (EM)., • Represent technology/architecture/engineering in cross-functional project teams throughout a project’s lifecycle (from ideation to implementation). Work within the team to identify optimal solutions for challenges, communicate them outwards to stakeholders and work with others to implement them., • Work with the Head of Data Engineering and your peer Staff/Lead Engineers to act as a guiding mind for the engineering/architecture in your business area. Identify areas for improvement and work with other leaders to implement., • Lead decision-making on critical technical strategy and implementations which affect your business area., • Identify opportunities for and then carry out specific pieces of high-impact hands-on work where it makes sense., • Work with partners and suppliers to integrate their systems with Our Future Health’s., • Support your colleagues with pairing, peer reviews, coaching, discussion, and other collaborative activities that help everyone reach high standards and result in the delivery of high-quality software products., • Participate in live operations support rotations that monitor live systems and quickly and effectively react to potential incidents and provide support to operations teams such as customer support. This could include being part of an out of hours on-call rotation., • Anticipate problems that could occur with pipelines and take action to prevent them. Identify and describe problems when they occur and be able to develop solutions that address them for the short and long term., • Keep abreast of best practice in software engineering across industry, research and Government, and identify opportunities to bring these into Our Future Health. Requirements We welcome applications from all who may not feel they match the full criteria, so if you have most of the below, we'd like to hear from you: Technical Skills • You have led the architectural design of systems., • Highly proficient in cloud engineering (preferably in Azure; AWS and GCP), • Demonstrable knowledge and experience in building solutions centred around moving and processing large amounts of data at pace and scale, using cloud-native technologies such as Kubernetes, Helm and Docker. Experience with storing, searching and filtering large scale data., • Highly proficient working with Infrastructure as Code (Terraform, Ansible), • Highly proficient in Python. Experience in orchestration tools like Dagster, Prefect and Airflow are advantageous., • Experience with Spark, Databricks, data lakes/lakehouses., • Knowledge of good data modelling and design patterns; in-depth knowledge of relational databases (e.g. PostgreSQL) and familiarity other types of data store (blob, document, graph)., • Highly proficient in modern, agile development practices like code review, TDD, CI/CD and pairing using tools like Git and GitHub., • Experience in operationally managing software components/service once live, including: observability best practises, logging best practises, error reporting, debugging and live incident management. Experience using tools such as Grafana, Prometheus, New Relic etc., • Experience of working with sensitive personal data., • Experience working with a health data (genetic data, clinical data, NHS data) is advantegeous. In particular, any knowledge and experience of FHIR and health data models (OMOP, PCORnet, i2b2, CDISC) would be advantageous. Competencies • Experience working in/with cross-functional teams consisting of engineers, product, UX and non-technical stakeholders., • Proven ability to communicate with stakeholders and audiences at different levels., • Understanding of the importance of operational, security and legal factors when designing solutions, with the ability to articulate trade-offs and make informed decisions around design and technology choices., • Experience working in small, growing organisations with a high degree of ambiguity, where flexibility is valued., • Strong understanding of software quality principles and practices., • Experience in mentoring and coaching less experienced engineers., • Comfortable in facilitating technical discussions, encouraging collaboration and providing direction. Why join us? You’ll be joining at an interesting point in the evolution of our Data Engineering organisation. We’re looking at how shared tooling and engineering capabilities should work across our Data Product squads, which means there’s an opportunity to influence how we design and build these systems rather than simply inheriting an established model. You’ll work on genuinely challenging engineering problems involving large volumes of sensitive health data, while collaborating with engineers, data specialists and architects across the organisation. The role combines hands-on engineering with Staff level influence, helping teams make good technical decisions, developing other engineers and improving how we build software across the wider area. We’re looking for someone pragmatic, collaborative and comfortable working through ambiguity. You’ll have strong technical opinions, but know when to adapt them; you’ll care about engineering quality without over-engineering solutions; and you’ll be comfortable influencing people without relying on authority. Healthcare experience isn’t essential, but an interest in our mission is. It’s an opportunity to apply your engineering experience to technology that ultimately supports health research at an unprecedented scale. Hiring process We feel hiring should be transparent and give you a real sense for what Our Future Health is like. Here's what you can expect: • Initial chat with our Talent team (30 min) to get to know each other, discuss the role, and answer any questions you have., • 1st interview with our Head of Data Engineering (30 min) - this is an opportunity to learn more about each other and align on role expectations., • Technical interview with 2-3 members from our engineering team (60 min). This will include a short task you’ll need to prepare in advance of the interview and is designed to get a sense for how you'd approach the real-world responsibilities of this role., • Final stage competency interview (60 min) with a small cross-functional panel of your potential new colleagues. This will focus on how you collaborate, work with stakeholders, and navigate ambiguity and challenges in real-world projects. Benefits • Competitive base salary from £105,000 per annum, • Generous Pension Scheme – We invest in your future with employer contributions of up to 12%, • 30 Days Holiday pro rata + Bank Holidays – Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you, • Enhanced Parental Leave – Supporting you during life’s biggest moments, • Cycle to Work Scheme – Save 25-39% on a new bike and accessories through salary sacrifice, • Home & Tech Savings – Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice, • EV Scheme – Save up to 40% on a brand new electric vehicle all-inclusive package through salary sacrifice, • £1,000 Employee Referral Bonus – Know someone amazing? Get rewarded for bringing them on board!, • Wellbeing Support – Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family, • A Great Place to Work – We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements You may work remotely from anywhere within the UK, with occasional travel to London. We recommend you apply as soon as possible as occasionally due to high volumes of applications, we need to close our postings early. At Our Future Health, we recognise the importance of having a diverse workforce and ensuring that all candidates, regardless of their background, have equitable access to our application process. We proactively encourage applicants who identify as having a disability, neurodiversity, or long-term health conditions to let us know if they require any reasonable adjustments as part of their application process. If you do require any reasonable adjustments, please email us at talent@ourfuturehealth.org.uk

DEVOPS ENGINEER TRAINEESHIP \n \n Become a DevOps Engineer and Build Real-World Experience \n Are you interested in cloud computing, software development, automation, and building reliable technology platforms? Do you want to gain practical experience while developing technical skills that are in high demand across the technology industry? \n We are offering a DevOps Engineer Traineeship designed to help aspiring DevOps professionals develop industry-relevant knowledge through structured learning and practical projects. \n What You Will Learn \n Throughout the traineeship, you will develop an understanding of: \n\n • \n DevOps Fundamentals \n • \n Linux System Administration \n • \n Command Line and Shell Scripting \n • \n Version Control with Git \n • \n Software Development Lifecycle (SDLC) \n • \n Continuous Integration (CI) \n • \n Continuous Delivery and Continuous Deployment (CD) \n • \n Infrastructure as Code (IaC) \n • \n Containerisation with Docker \n • \n Container Orchestration \n • \n Cloud Computing Fundamentals \n • \n Cloud Platforms (AWS, Microsoft Azure and Google Cloud) \n • \n Configuration Management \n • \n Monitoring and Logging \n • \n Security Best Practices (DevSecOps) \n • \n Networking Fundamentals \n • \n Automation and Scripting \n • \n Incident Management and Reliability Engineering \n\n Practical Experience \n You will work on realistic DevOps projects that may include: \n\n • \n Building CI/CD pipelines \n • \n Deploying applications to cloud environments \n • \n Creating Infrastructure as Code templates \n • \n Managing Docker containers \n • \n Automating software deployment processes \n • \n Configuring monitoring and logging solutions \n • \n Implementing basic cloud infrastructure \n • \n Applying security best practices to deployment pipelines \n • \n Troubleshooting deployment and infrastructure issues \n • \n Portfolio projects demonstrating your DevOps capabilities \n\n This practical experience will help you develop a professional portfolio that demonstrates your capabilities to future employers. \n Ideal Candidate \n We are looking for individuals who: \n\n • \n Have an interest in technology, software development, and cloud computing \n • \n Enjoy solving technical problems \n • \n Have strong analytical and logical thinking skills \n • \n Pay close attention to detail \n • \n Are willing to learn new skills \n • \n Can work independently and manage their time effectively \n • \n Have basic computer skills \n\n No previous DevOps experience is required. Successful applicants will undertake our paid DevOps Engineer training programme before progressing into employment. The cost of the training is the responsibility of the learner, and full guidance and support will be provided throughout the programme. \n Benefits \n\n • \n Remote and flexible learning \n • \n Industry-relevant curriculum \n • \n Portfolio development opportunities \n • \n Practical project experience \n • \n Mentoring and personalised feedback \n • \n Career guidance and employability support \n • \n Opportunity to develop skills sought by modern employers \n\n Entry Requirements \n\n • \n A good level of written English \n • \n Access to a computer and internet connection \n • \n Motivation to learn and develop professionally \n\n Career Opportunities \n Upon successful completion, learners may pursue roles such as: \n\n • \n Junior DevOps Engineer \n • \n DevOps Engineer \n • \n Cloud Support Engineer \n • \n Platform Engineer \n • \n Infrastructure Engineer \n • \n Site Reliability Engineer (SRE) \n • \n Build and Release Engineer \n • \n Cloud Operations Engineer \n • \n Systems Administrator \n • \n Cloud Infrastructure Engineer \n\n Apply Today \n If you are looking to start a career in DevOps and want to gain practical experience while developing a professional portfolio, we would love to hear from you. \n Submit your application today and begin your journey towards a rewarding career in DevOps Engineering. \n We advertise this role across multiple UK locations — you only need to apply once and you'll be considered for all of them.

This is a free training course followed by the potential for a role with one of our clients. Title: DevOps Engineer Job location: Remote, UK (1 day per fortnight in London or Manchester) Description: These job roles are linked directly to free education, and upon completion of our course, you will be equipped to start your new role. WHAT ARE WE LOOKING FOR? • 1.5+ years of experience in a technology-focused role using Python, • Able to pass a technical assessment in Python, Java or Javascript, • Commitment to complete a 16-week, part-time course to develop your mid-level skills KEY RESPONSIBILITIES: • Build & Streamline CI/CD Pipelines: Design, implement, and maintain robust GitOps pipelines using GitLab CI/CD, Helm, and ArgoCD to automate software delivery., • Drive Infrastructure as Code (IaC): Develop and optimise infrastructure using Terraform and related automation tools across hybrid cloud environments., • Modernise & Migrate Workloads: Support the containerisation and migration of legacy batch components into modern Kubernetes and OpenShift environments., • Enhance Platform Reliability & Security: Ensure continuous delivery ecosystems align with AWS best practices for scalability, security, and high availability., • Collaborate Across Engineering Teams: Partner with application and infrastructure teams to streamline version control, manage artifact registries, and eliminate deployment friction. KEY REQUIREMENTS: • Hands-on CI/CD & GitOps Expertise: Practical experience with automated delivery pipelines and modern GitOps tools (e.g., GitLab CI/CD, Helm, ArgoCD, Flux, Jenkins, or Terraform)., • Containerisation & Orchestration Skills: Strong working knowledge of Docker and Kubernetes ecosystems (Red Hat OpenShift experience is a major bonus)., • Automated Scripting & Problem-Solving: Ability to automate repetitive tasks and optimise workflows using languages such as Bash, Python, or Go., • Hybrid & Cloud Platform Knowledge: Hands-on exposure to public, private, or hybrid cloud environments (such as AWS, IBM Cloud, GCP, or Azure)., • Collaborative DevOps Mindset: Proven ability to work constructively at the intersection of development and operations in a team-focused environment. SKILLS YOU'LL DEVELOP • T-Shaped Skill Set: become the go-to person for your technical specialism in addition to building on your collaborative skills to understand and empathise with other tech roles and stakeholders, • Technical Leadership: you'll develop your technical professional skills across mentoring, teamwork, stakeholder communication, and technical decision-making to put you on the pathway to senior individual contributor or technical management roles., • Agility & Automation: taking part in modern software development process, you'll further develop your Agile, DevOps and automation skills, deploying to the cloud., • Innovation & Inclusive products: by building products with DE&I at the core, you will further harness additional techniques in the software development process to foster the development of inclusive products. 100% FREE LEARNING LINKED TO JOB ROLES Just like all of our courses, the Mid-Level Accelerator is 100% free for all students. There are no secret or hidden fees, no payment upon completion, and no debt. We work with our partner companies to ensure this education is free for all learners. Benefits - vary per client, but are competitive.

About Codat Codat is an advisory intelligence solution purpose-built for modern commercial banking. Through rich, specialized data, forward-looking insights, and integrated workflows, Codat empowers banking teams to deepen their relationships, grow their revenue, and simplify their day-to-day work. Founded in 2017 and backed by JPMorgan, PayPal, Amex, Plaid, and Shopify, Codat has successfully powered over 350,000 connections to business customers’ financial systems — and is trusted by industry leaders to turn scattered information into actionable, strategic advantages in real time, every time. We're looking for a Senior Data Engineer to join our Data and Insights team. You'll be hands-on every day, writing production code, building and maintaining data pipelines, and shipping features that turn raw data into intelligence our clients can act on. You'll work across the full project lifecycle, from understanding the problem through to delivery, and you'll care as much about code quality and operational reliability as you do about getting things shipped. This is also a technical leadership role. As a senior member of the team, you'll set and lead the technical direction of our Insights platform. This is a visible position within engineering and across the wider business, so you'll explain your thinking clearly, share the reasoning behind it, and bring people with you. You'll do all of this while staying close to the code: it'll suit you if you want to keep building hands-on, rather than move into pure architecture or people management in the near term. Write production code every day, most likely in Python, building and maintaining the data pipelines that power our Insights products. Own the full lifecycle of your projects, from understanding the data domain through to pragmatic design, shipping, and keeping things running reliably in production. Set and lead the technical direction of the Insights platform, and communicate it openly across engineering and the wider business, so product and commercial colleagues understand the choices you are making and why. Help raise engineering standards across the team and improve technical quality through strong engineering practice, including testing, observability, data quality checks, and clean, maintainable code. Make AI your default way of working, and find opportunities to apply it across our products and pipelines where it delivers real value, from research and prototyping through to more operational uses such as agents that help diagnose and fix pipeline issues. Help lay the foundations for our emerging MCP and semantic layer, so our data becomes something both people and AI systems can query and reason over. Strong software engineering fundamentals: you write well-tested, production-ready Python and care about maintainability, observability, and operational excellence. A track record of building data pipelines and production systems from the ground up, rather than mainly configuring managed services or wiring off-the-shelf tools together. You can describe complex logic you've written and the engineering problems you had to solve. Solid experience with modern data engineering tools and patterns, with real depth in several of SQL, Spark, Databricks/Delta Lake, orchestration tools (Dagster, Airflow, Temporal), and dbt. Comfort with modern deployment practices: CI/CD, containerisation (Docker), and cloud-based infrastructure. It's a bonus if you've shaped these for a team, not only worked within them. A product mindset: you want to understand the business domain and use that understanding to shape what gets built, not only how. You're comfortable pushing back or proposing a different approach when your read of the data and the domain calls for it. Strong communication skills: you can explain and build support for your ideas with peers, managers, and non-technical stakeholders, and you're comfortable holding a visible technical position and bringing people with you. AI as a default part of how you work, with evidence of real efficiency gains and creative use beyond code generation, such as research, building domain knowledge, or prototyping. Nice to have: exposure to the building blocks of AI-ready data, such as semantic layers, ontologies, or text-to-SQL, plus any experience applying AI operationally within data platforms or pipelines. This won't be your main focus, but it will help as our platform grows to support an MCP. Please note, this role is remote - UK only and we cannot provide sponsorship for this position. Anyone not based in the UK or that requires sponsorship to work in the UK will not be considered at this time.

Sonatype is the software supply chain security company. We provide the world’s best end-to-end software supply chain security solution, combining the only proactive protection against malicious open source, the only enterprise grade SBOM management and the leading open source dependency management platform. This empowers enterprises to create and maintain secure, quality, and innovative software at scale. As founders of Nexus Repository and stewards of Maven Central, the world’s largest repository of Java open-source software, we are software pioneers and our open source expertise is unmatched. We empower innovation with an unparalleled commitment to build faster, safer software and harness AI and data intelligence to mitigate risk, maximize efficiencies, and drive powerful software development. More than 2,000 organizations, including 70% of the Fortune 100 and 15 million software developers, rely on Sonatype to optimize their software supply chains. The Global Alliance Manager for Hyperscalers & GSIs exists to architect, commercialize, and scale Sonatype’s most high-leverage strategic partnerships worldwide. Positioned at the critical intersection of elite cloud ecosystems (including Amazon Web Services and Microsoft Azure) and tier-1 Global System Integrators (such as Deloitte, Capgemini, Infosys, and Cognizant), this role is the primary engine for driving partner-vetted pipeline expansion and programmatic co-sell acceleration. Operating at the Senior/Lead level, you do not manage passive referral lists; you build unassailable commercial frameworks that embed Sonatype's AI-driven DevSecOps intelligence natively into large-scale cloud modernization and digital transformation practices. This high-velocity role is engineered for a highly motivated, independent team player with deep business acumen and a proven track record of shifting seamlessly between program development and field execution. Based on the US East Coast and/or EMEA with a global coverage footprint, you will serve as the connective tissue between individual contributors, senior sales executives, and external channel leadership. You must be comfortable wearing multiple hats simultaneously operating as a program manager, business analyst, and business development manager to design joint sales initiatives, build deep technical relationships, and systematically map target accounts. Ultimately, this individual holds absolute accountability for achieving and exceeding quarterly and annual revenue objectives by unlocking new enterprise logos and maximizing cloud-spend monetization. Programmatic Co-Sell Acceleration: Establishing repeatable, high-velocity co-selling mechanics natively within the AWS ISV Accelerate framework and Azure partner ecosystems, ensuring Sonatype is attached directly to enterprise cloud-migration blueprints. Marketplace Transaction Optimization: Driving a measurable reduction in customer procurement cycle times by seamlessly structuring and executing Channel Partner Private Offers (CPPOs) to burn down existing enterprise cloud-spend commitments (e.g., AWS EDP, Microsoft MACC). Strategic Practice Integration: Successfully positioning Sonatype’s platform—including our SBOM Manager and Repository Firewall—as the default secure SDLC reference architecture within the DevSecOps and AppSec consulting practices of tier-1 GSIs. Revenue Target Domination: Consistently achieving and exceeding assigned global quarterly and annual revenue objectives through highly structured, high-yield co-selling motions. Ecosystem Capability Elevation: Developing internal and partner ecosystem training playbooks that build real-world capability, ensuring partners can independently demonstrate product value and protect the customer lifecycle. Field Alignment Synergy: Synchronizing sales cycles so that field teams across North America and EMEA experience frictionless co-selling, utilizing joint account-mapping cadences to systematically unlock new enterprise logos. Partner-originated and partner-influenced pipeline metrics meet or exceed assigned segment targets quarterly. Cloud marketplace gross transaction volume (GMV) scales continuously, making Sonatype the preferred mechanism for enterprises securing cloud-native environments. Joint value propositions and technical alliance frameworks are maintained with absolute precision, clearly differentiating Sonatype against legacy SCA market alternatives. Account mapping initiatives bridge the gap cleanly between the sales field and partner target accounts, driving targeted alignment with Sonatype sales CapDB A/B focus accounts. Alliance Architecture Strategy: Design and execute the global co-sell and commercialization roadmap for designated cloud marketplace and system integrator ecosystems. Planning & Business Review Governance: Lead and execute an annual and quarterly business planning process using a strategic planning model to identify key go-to-market strategies and clear revenue metrics. Pipeline Forecasting Rigor: Provide regular, high-integrity weekly forecasts of partner sales within your designated region, maintaining a real-time, updated view of partner pipelines, deal flow, and historical metrics. Commercial Framework Engineering: Structure, negotiate, and execute complex Cloud Partner Private Offers (CPPOs) and multi-party enterprise transaction models to close new accounts and expand existing partner revenues. Ecosystem Program Creation: Design and lead joint programs with Sonatype partners to generate net-new business in existing enterprise footprints and break into untapped vertical markets. Platform Enablement & Certification Strategy: Build, maintain, and scale the partner sales enablement framework, utilizing internal tools (e.g., Lessonly/SmarterU) to track partner certification progress, tier achievements, and training status. Product Launch Synchronization: Collaborate with Global teams to ensure all upcoming and newly launched products have appropriate partner-facing go-to-market enablement tools, communications, and marketing collaterals. Partner Assessment and Recruitment: Conduct continuous recruitment, validation, and performance assessment of partners against defined tier requirements and regional corporate growth objectives. Cross-Functional Collaboration Loops: Partner closely with Sales, Marketing, Product, Solution Engineering, and Customer Success teams to orchestrate successful cross-functional joint campaigns, webinars, quarterly webinars, and the annual Partner Summit and Awards. Cloud Marketplace & Channel Fluency: 5+ years of demonstrated success in B2B tech channel sales, software solution management, or working with Value-Added Resellers (VARs) and tier-1 partners, with an unassailable track history of exceeding quotas. Strategic Enterprise Vision: Ability to build an operational partner architecture that anticipates global business challenges 12-24 months out, applying critical thinking and sound business judgment to measure and handle the business. Multi-Persona Communication Mastery: Outstanding written, verbal, and interpersonal communication skills; highly effective at securing meetings and closing business with senior-level channel executives, while maintaining strong collaborative links with internal individual contributors. Demand Generation & Program Orchestration: Proven experience planning and managing a systematic approach to demand generation, co-marketing initiatives, and joint pipeline development loops with partners. Dynamic Role Agility: Demonstrated capacity to seamlessly pivot roles at any given time—wearing the hat of a program manager, technical business analyst, or business development lead depending on deal or ecosystem complexity. Proactive & Innovative Sourcing Logic: A proactive, creative, and innovative mindset that consistently generates net-new ideas to support and drive divisional pipeline priorities through sales programs and strategic alliances. High-Velocity Execution Mindset: High energy, enthusiasm, and independent work ethic, with the structural maturity to work cross-functionally and garner immediate support from multiple internal and external stakeholders. Things that we are proud of 2025 AI Compliance Solution of the Year - AI Breakthrough Awards 2025 DEVIES Award to our SBOM Manager new product for its innovation and impact in developer technology 2024 Industry Leader in Forrester-Wave for Software Composition Analysis (2024 Q4 report) 2023 Fast Company Best Places for Innovators 2023 Gartner's Magic Quadrant 2023 Software Report's Top 100 Software Companies 2023 BuiltIn Best Places to Work 2022 Frost & Sullivan Technology Innovation Leader Award 2022 PeerSpot Silver Peer Award in Software Composition Analysis 2022 Tech Ascension Best DevOps Security Solution Award 2022 NVCT Cyber Company of the Year Company Wellness Week - We shut down company operations for a week to enable all employees to pursue personal growth and enjoy a much-needed and deserved rest. Paid Volunteer Time Off (VTO) At Sonatype, we value diversity and inclusivity. We offer perks such as parental leave, diversity and inclusion working groups, and flexible working practices to allow our employees to show up as their whole selves. We are an equal-opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you have a disability or special need that requires accommodation, please do not hesitate to let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

At Air Apps, we believe in thinking bigger - and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal, in 2018 - and now with offices in both Lisbon and San Francisco - we’ve remained self-funded while reaching over 100 million downloads worldwide. Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe. Join us on this journey to redefine resource management - and change lives along the way. As a DevOps Engineer – Backend, you will play a key role in designing, automating, and maintaining the infrastructure that powers our backend systems. You’ll work closely with developers to streamline deployments, improve scalability, and ensure our services are reliable, secure, and cost-effective. By building efficient CI/CD pipelines, managing cloud environments, and enforcing infrastructure best practices, you’ll enable our teams to deliver high-quality features quickly and confidently. This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts. Design, implement, and maintain CI/CD pipelines to automate build, test, and deployment processes. Manage and optimize cloud infrastructure on AWS, Azure, or Google Cloud Platform (GCP). Implement Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or Pulumi. Deploy and manage containerized applications using Docker and Kubernetes. Monitor system performance, identify bottlenecks, and improve infrastructure reliability. Establish and enforce security best practices, including identity management, logging, and vulnerability management. Work with development teams to improve deployment efficiency and troubleshoot infrastructure issues. Optimize cloud resource utilization to ensure cost-effectiveness and scalability. Automate infrastructure provisioning, configuration management, and system maintenance. Stay up-to-date with emerging DevOps technologies, tools, and best practices. Around 3+ years of experience in DevOps, Site Reliability Engineering (SRE), or Cloud Engineering. Strong expertise in CI/CD tools (Jenkins, GitHub Actions, GitLab CI, CircleCI, ArgoCD). Experience with cloud services (AWS, Azure, or GCP) and serverless computing. Proficiency in Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Pulumi. Hands-on experience with containerization and orchestration (Docker, Kubernetes, Helm). Strong knowledge of Linux-based systems, networking, and security best practices. Scripting skills in Bash, Python, or Go for automation. Experience with monitoring and logging tools (Prometheus, Grafana, ELK, Datadog). Understanding of cloud cost optimization, scalability, and high-availability architectures. Strong problem-solving skills and ability to work in an agile, fast-paced environment. Apple hardware ecosystem for work. Annual Bonus Top-tier Health and Life Insurance for peace of mind. Transportation Budget to support your commute needs. Coverflex benefits package for meal allowances, well-being, and more. Childcare support. Air Conference - an opportunity to meet the team, collaborate, and grow together. Pension Fund to support your long-term financial planning. Urban Sports Club membership to keep you active. Meals 100% free at the hub. At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger. At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

Ready to make travel easier for millions? Airalo is the world’s first and largest eSIM store, helping travellers stay connected seamlessly in over 200 countries and regions. We trust our teams to take ownership, put customers first, and do work that has a real impact every day. What’s in it for you? Airalo offers team members a range of perks, including remote work, generous PTO, wellness and learning allowances, and, of course, our annual Airalo Away retreat. Learn more about our benefits here; _ Hi, I'm Andra, Director of Data at Airalo! Our team works across the full data ecosystem, from collection to insights activation, ensuring that every piece of data drives meaningful action. We’re curious problem-solvers who love tackling challenges that haven’t been solved before and building tools and processes that scale impact across the company. Airalo’s fully remote Data team is growing. You’ll turn numbers into decisions that shape the future of our business, collaborating with cross-functional teams to solve complex problems and influence how millions of travellers stay connected. This isn’t just dashboards - it’s using data to drive strategy, inform product and growth decisions, and create real impact. You’ll have access to best-in-class tools, the freedom to experiment, and a team ready to turn insights into action. As the Data Engineering Manager, you will lead the foundational backend of our data organization. YYou will directly manage our current pod of Data Engineers (2 Senior Data Engineers and 1 Customer Data Platform Engineer) and shape the hiring roadmap as the function grows - including scoping future specialized roles such as Machine Learning Engineers. Partnering closely with the Data Director, you will help us transition out of the reactive, ad-hoc phase and into a structured, highly scalable data ecosystem. You will own the architecture, ingestion, and orchestration that powers the rest of the data team - ensuring that our Analytics Engineers, Data Analysts and other users have a rock-solid, high-quality foundation to build upon. This role goes beyond building a data platform. You'll be the connective tissue between Product & Engineering, MarTech, and our partner ecosystem - ensuring data is produced cleanly at the source, captured reliably, and delivered cohesively across the entire organization. Manage, mentor, and grow a high-performing team of Senior Data Engineers and CDP Engineers. Drive hiring for the Data Engineering function as it grows, including scoping future specialized roles such as Machine Learning Engineers Foster a culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo’s data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade technical designs. Bridge the data platform with MarTech and third-party ecosystems (PSPs, MNOs, CDPs, attribution platforms), ensuring customer events, campaign data, and partner integrations flow cohesively in both directions. Partner with Software Engineering to embed data quality at the source - implementing data contracts, co-owning schema decisions, and driving the rollout of a data catalogue across the organization. Establish the foundations for real-time data capabilities as the business matures beyond batch processing Design systems that prioritize data quality, privacy, and governance standards across all data initiatives. Transition the team's workflow from reactive problem-solving to structured, agile delivery. Oversee the maintenance and optimization of high-performance data pipelines, implementing CI/CD automation, observability frameworks, and strict data quality gates. Roll up your sleeves when necessary to assist with complex code reviews, Python/Scala development, or unblocking the team on difficult architectural challenges. Act as a strategic partner to the Analytics Engineering Manager and Data Director to build the backend requirements necessary to achieve our company-wide goal of 80% self-serve analytics. 7+ years of professional experience as a Data/Software Engineer, with at least 2+ years of experience directly managing and scaling data engineering teams. You thrive in low-maturity or greenfield data environments. You're comfortable navigating ambiguity and enjoy the process of laying down paved roads and engineering standards where none existed before. Deep, hands-on background with major cloud platforms (GCP preferred) and cloud-native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands-on experience using AI tools to accelerate engineering workflows - code generation, code review, pipeline debugging, or documentation Strong coding experience in Python (and/or Scala) and advanced SQL across relational and non-relational databases. Experience implementing CI/CD, Infrastructure as Code, and observability/monitoring for data pipelines. Bachelor's degree in Computer Science, Engineering, Statistics, Information Systems, or a related quantitative field. Experience implementing data contracts, data catalogues (Atlan, Amundsen, DataHub), or federated governance models. Experience with Customer Data Platforms (Segment, mParticle, or similar), MarTech data integration, and real-time event processing. Experience in marketplace, B2C, or high-volume transactional businesses. Previous work in globally distributed data environments (multi-currency, multi-region, multi-language). Experience building or contributing to experimentation platform infrastructure (A/B testing pipelines, feature flag data, experiment analysis frameworks). Exposure to Machine Learning infrastructure - not necessarily building models, but scoping teams, tooling, and pipelines that support ML workloads. If you are interested in this position, please apply via the link. Please note that to be considered for this role, you must reside in and be fully eligible to work in either Romania, Spain, or the UK. Proof of a valid right to work in one of these three countries will be required. By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: _ We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process. At Airalo, we use AI-assisted tools as part of our recruitment process. Your application will be reviewed using tools that help our recruiters analyze and organize CV information. These tools support, but do not replace, human judgment; all hiring decisions are made by humans. If you progress to an interview, we may use tools to generate AI-assisted notes - you can opt out of these. For more information on how we handle your data, please see our Privacy Policy: https://www.airalo.com/more-info/privacy-policy.

Description Location: Europe (100% Remote) Contract Type: Advisory / Project-Based About Us Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth. Job Summary We are seeking an Agentforce AI Maestro to join our elite European advisory roster under Xenon7's flexible Maestro Model. This strategic, fractional role combines enterprise Salesforce architecture with advanced LLM engineering to lead high-level technical discovery, design agentic workflows, and oversee production deployments for enterprise clients across Europe. Rather than a standard full-time commitment, this role provides high-leverage advisory engagements and project-based execution, with the potential to evolve into a full-time principal position as engagements scale. This is a hands-on technical lead role, not a Salesforce admin position. A. Agentforce Architecture & System Design • Solution Architecture: Translate complex enterprise business processes into end-to-end agentic workflows (Intent $\rightarrow$ Agent $\rightarrow$ Context $\rightarrow$ Reasoning $\rightarrow$ Actions $\rightarrow$ Systems $\rightarrow$ Outcome)., • Core Agent Engineering: Design, configure, and build enterprise agents using Agent Builder, Agentforce Studio, Agent Script / DX, subagent routing, and instructions., • Deterministic Logic Integration: Build robust back-end support using Salesforce Flow, Apex, SOQL, APIs, Named Credentials, and OAuth. B. Agentic AI & LLM Engineering • Orchestration & Tooling: Implement tool/function calling, structured outputs, multi-step agent workflows, and prompt/context engineering., • Architectural Trade-offs: Evaluate and determine when to leverage LLM reasoning versus deterministic Apex/Flow logic to minimize latency and token costs while preventing hallucinations. C. Enterprise Data & System Integration • Grounding & RAG: Ground agent reasoning in structured/unstructured enterprise data utilizing Salesforce Data Cloud / Data 360, semantic search, and Knowledge libraries., • System Interoperability: Architect REST API callouts, event-driven integrations, and MuleSoft platform pipelines, incorporating Model Context Protocol (MCP) standards. D. Testing, Security & Strategic Advisory • Testing & Quality Assurance: Drive automated testing and multi-turn conversation tracing using the Agentforce Testing Center., • Security & Guardrails: Design least-privilege agent permissions, FLS/sharing rules, prompt injection protections, and human-in-the-loop escalation paths., • Client & Team Leadership: Lead technical discovery with European enterprise stakeholders and guide cross-functional engineering teams. Requirements • Experience: 5+ years of hands-on Salesforce engineering and architecture experience., • Agentforce Track Record: At least 2 meaningful production or advanced pre-production Agentforce implementations., • Location: Based in Europe with strong alignment with European enterprise hours., • Core Tech Stack: Deep proficiency in Salesforce Agentforce (Studio/DX), Apex, Flow, Data Cloud, REST APIs, Git, and CI/CD pipelines., • AI Competency: Clear understanding of LLM architectures, context window management, function calling, and evaluation frameworks. Preferred Certifications & Qualifications • Salesforce Certified Agentforce Specialist or Salesforce Architect Certifications., • Hands-on experience with MuleSoft, Python, TypeScript, LangGraph/LangChain, or MCP., • Exposure to major AI platforms (OpenAI, Anthropic, Gemini, Azure AI, or AWS Bedrock)

Please note this role is UK only. We are KOPE and we are dedicated to revolutionising how we design and construct the build environment KOPE is the only purpose-built software platform for offsite construction. We enable the transition from traditional construction by integrating offsite processes and products. We instantly apply real-world products directly to design models, allowing the worlds of design and manufacturing to come together as one. We are building a better future. Join us. The Role We are seeking a highly skilled DevOps Engineer to design, build, and maintain secure, scalable, and resilient cloud infrastructure. This role combines operational efficiency with a strong security mindset, ensuring that our platforms are reliable, compliant, and continuously improving. You will play a key role in shaping our cloud strategy, enhancing our CI/CD capabilities, and embedding security best practices throughout the development lifecycle. Responsibilities • Design, implement, and manage scalable and highly available cloud infrastructure in Microsoft Azure, • Build and maintain disaster recovery (DR) and failover strategies to ensure business continuity, • Develop and maintain Infrastructure as Code using Pulumi (existing knowledge of Terraform or similar also acceptable), • Ensure infrastructure is version-controlled, reusable, and aligned with best practices, • Maintain and enhance existing pipelines in Azure DevOps, • Design and implement modern CI/CD workflows to improve build, test, and deployment processes, • Evaluate and lead potential migration to more mature or scalable tooling platforms, • Integrate security practices into all stages of the development and deployment lifecycle, • Manage and optimise vulnerability scanning tools and processes, • Analyse and prioritise security findings, working with teams to remediate risks, • Act as the primary liaison for external penetration testing providers and internal stakeholders, • Ensure compliance with security standards and organisational policies, • Strong experience with Microsoft Azure cloud services and architecture, • Proven experience with Infrastructure as Code (preferably Pulumi, ideally with C#), • Hands-on experience with CI/CD tools (Azure DevOps and at least one other, E.G Jenkins, Teamcity, Github actions, Octopus Deploy etc), • Solid understanding of cloud security principles and DevSecOps practices, • Experience with vulnerability management tools and processes, • Familiarity with disaster recovery planning and implementation Desirable Skills • Experience migrating CI/CD platforms or modernising build systems, • Knowledge of containerisation and orchestration (e.g., Docker, Kubernetes), • Familiarity with monitoring and observability tools, • Understanding of compliance frameworks (e.g., ISO 27001, SOC 2), • Experience and understanding of the changing nature of AI involvement in this area and how to employ it, • Remote first, • Flexible working style, • Relaxed and fun culture, • Greenfield development with no legacy apps, • Autonomy & responsibility encouraged, • Generous holiday allowance - 23 days paid holiday plus public and bank holidays, • Aviva Health Insurance, • Winter leave – the office closes between Christmas eve and 1st January (inclusive) this is in addition to your personal annual leave, • All-company in person events, • Generous maternity, paternity and parental leave policy

Description Methods is recruiting for a permanent Mid/Senior Data Engineer to join the Data and AI Capability Centre. This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol. You will support complex client engagements where data engineering is used to stabilise business-critical processes, improve reporting confidence and establish repeatable data foundations across enterprise systems. Bringing strong hands-on experience in data profiling, cleansing, mapping, reconciliation and integration across complex business systems, ideally with exposure to procurement, workforce, finance, ERP or source-to-pay data. You should be comfortable working iteratively with architects, process owners and business stakeholders to identify root causes, support tactical fixes, improve reporting confidence, and help establish repeatable data foundations for future transformation. Working on client data foundation engagements that combine discovery, stabilisation and remediation. Typical work will include understanding process and system landscapes, identifying data and reconciliation issues, supporting tactical fixes, and helping clients define the data architecture, reporting and governance foundations needed for longer-term transformation. • Design, build and improve ETL and ELT pipelines that support data ingestion, profiling, reconciliation, cleansing and reporting across enterprise source systems., • Building data catalogues, data flows, interface views and trusted source views, • Design and architect modern data solutions that align with business objectives and technical requirements, supporting current-state and target-state data architecture, • Help clients improve confidence in operational, workforce, procurement and financial reporting through timely, accurate and reconcilable data., • Build highly scalable and performant data solutions leveraging cloud platforms and open-source software, • Develop data models to handle enterprise-level analytical needs, • Optimise large-scale data processing systems for performance and cost-efficiency, • Implement robust data quality frameworks and monitoring solutions, • Evaluate new technologies to enhance our data engineering capabilities, • Collaborate with stakeholders to translate business requirements into technical specifications, • Present technical solutions to leadership and non-technical stakeholders, • Contribute to the development of the Methods Analytics Engineering Practice by participating in our internal community of practice, • Enable business leaders to make informed decisions with confidence through timely, accurate data insights, • Establish reusable engineering standards, patterns and documentation that support quality, maintainability and repeatable Data Foundations delivery across future engagements., • Drive adoption of modern data architectures and platforms, • Deliver seamless data solutions that enhance user experience, • Elevate the technical capabilities of the entire data engineering team, • Help cultivate a data-driven culture within the organisation, • Establish technical standards and patterns that ensure quality and maintainability Requirements • Experience working with data from Ariba, Workday, SAP S/4HANA or comparable procurement, workforce, timesheet, finance, supplier invoice or locally maintained spreadsheet sources., • Hands-on experience profiling data quality issues, defining cleansing rules, mapping data between systems, validating reconciliation outputs and documenting exceptions for business review., • Ability to work iteratively with architects, process owners, finance, procurement, workforce and operational stakeholders to turn ambiguous business issues into clear data analysis, engineering actions and controlled tactical fixes., • Understanding of data ownership, stewardship, lineage, metadata, controls and data quality monitoring, with the ability to produce documentation that can be reused as part of an enduring data governance model., • Experience implementing and advocating for test-driven development methodologies in data pipeline workflows, including unit testing, integration testing, and data quality validation frameworks, • Proven experience leading technical aspects of data projects, • Strong data architecture and modelling skills with the ability to design scalable data solutions, • Deep understanding of data warehouse design principles and methodologies, • Advanced knowledge of optimisation techniques for large-scale data processing, • Strong proficiency in SQL and Python for handling complex data problems, • Hands-on experience with Apache Spark (PySpark or Spark SQL), • Experience with the Azure data stack, • Knowledge of workflow orchestration tools like Azure Data Factory or Apache Airflow, • Experience with containerisation technologies like Docker, • Proficiency in dimensional modelling techniques, • Experience with CI/CD pipelines for data solutions, • Strong communication skills for translating complex technical concepts, • Experience designing and implementing data mesh or data fabric architectures, • Knowledge of cost optimisation strategies for cloud data platforms, • Experience with data quality frameworks and implementation, • Experience with data visualisation tools like Power BI or Apache Superset, • Experience with other cloud data platforms like AWS, GCP or Oracle, • Experience with modern unified data platforms like Databricks or Microsoft Fabric, • Experience with Kubernetes for container orchestration, • Understanding of streaming technologies (Apache Kafka, event-based architectures), • Experience with high-performance, large-scale data systems UKSV (United Kingdom Security Vetting) clearance is required for this role, with Security Check (SC) as the minimum standard, either already held or with a willingness to undergo the process. Some roles/projects may require Developed Vetting (DV) clearance; while not mandatory, a willingness to obtain DV clearance would be beneficial. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard (BPSS); details of the evidence required to apply may be found on the government website _. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview. Benefits Methods is passionate about its people; we want our colleagues to develop the things they are good at and enjoy. By joining us you can expect • Autonomy to develop and grow your skills and experience, • Be part of exciting project work that is making a difference in society, • Strong, inspiring and thought-provoking leadership, • A supportive and collaborative environment Development – access to LinkedIn Learning, a management development programme, and training Wellness – 24/7 confidential employee assistance programme Flexible Working – including home working and part time Social – office parties, breakfast Tuesdays, monthly pizza Thursdays, Thirsty Thursdays, and commitment to charitable causes Time Off – 25 days of annual leave a year, plus bank holidays, with the option to buy extra days each year Volunteering – 2 paid days per year to volunteer in our local communities or within a charity organisation Pension – Salary Exchange Scheme with 4% employer contribution and 5% employee contribution Discretionary Company Bonus – based on company and individual performance Life Assurance – of 4 times base salary Private Medical Insurance – which is non-contributory (spouse and dependants included) Worldwide Travel Insurance – which is non-contributory (spouse and dependants included) Enhanced Maternity and Paternity Pay Travel – season ticket loan, cycle to work scheme

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

Automation Lead Near Cardiff – Hybrid Working Salary: £60,000 + Full Benefits This is a fantastic opportunity for you to join an established and growing technology organisation near Cardiff, seeking an experienced Automation Lead to build and mature their automation capability. This is a strategic, hands-on role where you'll shape standards, design automation solutions, and drive adoption across the business. It will lead to a more governance role as you achieve your initial automation objectives. The Role You'll lead the development of the organisation's automation function, working across multiple business units to identify opportunities, design solutions, and deliver measurable improvements in efficiency, consistency and service quality. Key responsibilities include: Establishing automation standards, governance and best practice Identifying automation opportunities and prioritising delivery initiatives Designing and delivering workflow automation solutions using n8n Developing reusable automation patterns, tooling and frameworks Ensuring solutions are secure, supportable and aligned to operational needs Working with stakeholders to embed automation into day-to-day operations Measuring and communicating the value delivered through automation Evaluating emerging automation technologies and advising leadership There will be a Business Analysis side to this position which will require you to visit stakeholders and departments at different offices and so you should be willing to travel as and when required. Skills & Experience Required Strong experience designing and delivering enterprise automation solutions Good understanding and experience with AI technology Hands-on expertise with workflow orchestration platforms, ideally n8n Strong PowerShell and Python development skills Experience integrating systems using APIs, JSON, webhooks and automation tooling Knowledge of Microsoft 365 and Azure services Ability to analyse business processes and identify automation opportunities Experience producing technical designs, documentation and standards Strong stakeholder engagement and communication skills Full driving licence You will need to be able to obtain a high level of security clearance -SC and possibly DV clearance in the near to medium future. Desirable: Experience with Microsoft Copilot Studio, Azure AI Foundry, Azure Functions GitHub / GitHub Copilot Low-code / no-code platforms Managed services background ITIL Foundation or equivalent Apply Now If you're an experienced Automation Lead ready to shape a growing organisation's automation strategy, we'd like to hear from you. Please submit your CV to be considered for this opportunity. TPBN1_UKTJ

Inferact's mission is to grow vLLM as the world's AI inference engine and accelerate AI progress by making inference cheaper and faster. Founded by the creators and core maintainers of vLLM, we sit at the intersection of models and hardware—a position that took years to build. We're looking for an cloud orchestration engineer to build the operational backbone that keeps vLLM running reliably at massive scale. You'll design the systems for cluster management, deployment automation, and production monitoring that enable teams worldwide to serve AI models without friction. You'll ensure that vLLM deployments are observable, debuggable, and recoverable, turning operational complexity into infrastructure that just works. Bachelor's degree or equivalent experience in computer science, engineering, or similar. Strong experience with Kubernetes and container orchestration at scale. Experience designing and implementing custom Kubernetes operators. Proficiency in Python/Rust/Go and infrastructure-as-code tools (Terraform, Helm, etc). Experience managing GPU clusters and debugging hardware issues. Ability to work across cloud platforms (AWS, GCP, Azure) and on-premise infrastructure. Experience with ML-specific orchestration tools (Ray, Slurm). Knowledge of GPU scheduling, multi-tenancy, and resource optimization. Familiarity with vLLM deployment patterns and configuration. Track record of improving operational reliability for ML systems. Experience deploying inference systems on large-scale GPU (1,000+) clusters. Fresh graduates are welcome to apply. Minimum years of work experience: 0. Monthly salary of S$15,000 to S$30,000, depending on background, skills, and experience, plus equity. Inferact offers a generous benefits package, including medical, dental, and vision coverage. #J-18808-Ljbffr

In this role, you will be a strategic advisor working closely with senior leadership. You will bridge the gap between high-level business strategy and technical execution, defining the transformation roadmap from SAP ECC to SAP S/4HANA for our aviation engine overhaul and component repair operations. You will champion a "Clean Core" architecture to drive business agility, leveraging SAP Business Technology Platform (BTP) and Integration Suite (CPI) to streamline a complex multi-system environment while ensuring strict compliance with industry regulations. Your primary objective will be to evaluate the current-state landscape and deliver a redesigned, business-focused target-state S/4HANA blueprint specifically tailored for our Wales operations. • Target Roadmap Design: Define the end-to-end target business architecture and long-term blueprints for hybrid cloud and on-premises landscapes., • Target Architecture: Review the current systems and architecture to reduce the technical debt by eliminating systems, integrating systems that are compatible with target architecture., • Current-State Business Assessment: Evaluate the Wales ECC EHP8 landscape to identify custom code, workarounds, and deviations from standard SAP processes, focusing heavily on operational impacts within Plant Maintenance, Production (PP), Material/Supply Chain (MM, WM), and Finance (FI/CO)., • Migration Strategy: Formulate conversion paths, phased rollouts, and coexistence frameworks between legacy systems and S/4HANA that minimise operational downtime and business risk., • Business-Value Blueprinting: Design a high-level target-state S/4HANA blueprint built on standard/vanilla SAP best-practice processes. Champion standard-first governance to eliminate core modifications, simplify future upgrades, and protect business continuity., • Minimum Viable Architecture (MVA): Instead of trying to fix the entire legacy ERP or build the perfect, massive MES footprint on day one, define the absolute thinnest slice of architecture needed to run a single production line or a single warehouse process. Get it live, prove the value, and iterate., • Value Stream Mapping (VSM) for IT: Before writing code, map out the data and physical flows on the shop floor. Identify "waste" in the architecture—such as manual data re-entry, unnecessary synchronous middleware hops, or complex screen navigation on hand-held devices., • Decoupled Agile Sprints: Separate the frontend/edge deployment (hand-held device layouts, MES operator screens) from the heavy backend configuration. Use SAP Fiori elements and low-code/no-code tools on SAP BTP to prototype and deploy user-facing improvements in days or weeks, rather than months., • Functional Process Orchestration: Align all architectural decisions with core business operations across Manufacturing, Supply Chain, Production, and Finance., • Process Optimisation: Actively identify opportunities to eliminate manual workarounds during the assessment phase. Build organizational credibility by delivering tangible business value alongside the blueprinting work, ensuring the project delivers operational improvements—not just static documentation., • Ecosystem Connection: Ensure core SAP functional processes seamlessly integrate with critical non-SAP enterprise platforms (e.g., PLM, CAD, MES, MRO) to create a unified, cross-functional digital thread., • Operational Validation: Work hand-in-hand with site production, supply chain, and finance leaders to validate existing pain points and stress-test target designs against daily operational realities., • Executive Communication: Translate highly complex architectural choices, technical debt remediation strategies, and ecosystem topologies into clear, actionable business value for senior leadership., • Decision-Grade Deliverables: Produce effort, timeline, and risk-benefit analyses across realistic, Wales-specific migration options (Greenfield vs. Brownfield S/4HANA upgrades). Present findings in a high-impact format suitable for Global Enterprise-level executive decision-making., • Autonomous Delivery: Operate comfortably as an individual expert with high senior-stakeholder visibility. You must be able to independently drive consensus and produce executive-ready deliverables without relying on a large supporting team beneath you., • Cross-Functional Collaboration: Serve as a trusted advisor, aligning global delivery teams, functional analysts, business process owners, and development partners around a unified business vision., • Aerospace Regulations: Ensure all designed solutions strictly adhere to aerospace quality standards (AS9100), internal/external regulatory audit controls, ITAR, and global export control laws., • Asset Tracking & Logistics: Embed complex industry logic into the core design to handle high-consequence operational data, including engine part serialization, genealogy, and life-limited component tracking., • Experience: Minimum 8–10+ years of SAP architecture and business consulting experience in large enterprise settings. Must possess strong functional process knowledge with a proven track record of delivery in Materials, Supply Chain, and MRO., • Blueprint Leadership: Required experience owning or majorly contributing to an SAP blueprint or fit-gap design exercise. Pure system execution or support experience without exposure to target-state design work will not be sufficient., • ERP Lifecycle Mastery: Proven delivery of full-lifecycle implementations for both SAP ECC and SAP S/4HANA, with deep experience standardising highly customised landscapes toward global templates., • Senior Stakeholder Presence: Exceptional communication skills with a proven ability to interface with, influence, and present to senior corporate leadership., • Aviation/MRO Context: Proven experience within Aerospace & Defence, aviation engine overhaul and component repair operations, or high-precision industrial manufacturing and MRO sectors., • Strategic Technology Awareness: Strong functional understanding of how to leverage SAP BTP for application extensions (Clean Core principles) and SAP CPI / Integration Suite for secure, scalable integration topologies., • Delivery Methodologies: Solid grasp of modern delivery frameworks, specifically SAP Activate and Agile practices, to structure the blueprinting lifecycle., • Experience with complex Product Lifecycle Management (PLM) and Bill of Materials (BOM) management for aviation engines., • Experience handling the rigorous tracking, serialization, and lifecycle history of life-limited parts., • Experience assessing or designing the convergence of multiple disparate SAP instances., • SAP Certified Technology Associate – SAP S/4HANA Cloud / Architecture or relevant SAP Functional Certifications. #J-18808-Ljbffr

We are seeking a business-minded Senior SAP S/4HANA Solution Architect. In this role, you will be a strategic advisor working closely with senior leadership. You will bridge the gap between high-level business strategy and technical execution, defining the transformation roadmap from SAP ECC to SAP S/4HANA for our aviation engine overhaul and component repair operations. You will champion a "Clean Core" architecture to drive business agility, leveraging SAP Business Technology Platform (BTP) and Integration Suite (CPI) to streamline a complex multi-system environment while ensuring strict compliance with industry regulations. Your primary objective will be to evaluate the current-state landscape and deliver a redesigned, business-focused target-state S/4HANA blueprint specifically tailored for our Wales operations. • Target Roadmap Design: Define the end-to-end target business architecture and long-term blueprints for hybrid cloud and on-premises landscapes., • Target Architecture: Review the current systems and architecture to reduce the technical debt by eliminating systems, integrating systems that are compatible with target architecture., • Current-State Business Assessment: Evaluate the Wales ECC EHP8 landscape to identify custom code, workarounds, and deviations from standard SAP processes, focusing heavily on operational impacts within Plant Maintenance, Production (PP), Material/Supply Chain (MM, WM), and Finance (FI/CO)., • Migration Strategy: Formulate conversion paths, phased rollouts, and coexistence frameworks between legacy systems and S/4HANA that minimise operational downtime and business risk., • Business-Value Blueprinting: Design a high-level target-state S/4HANA blueprint built on standard/vanilla SAP best-practice processes. Champion standard-first governance to eliminate core modifications, simplify future upgrades, and protect business continuity., • Minimum Viable Architecture (MVA): Instead of trying to fix the entire legacy ERP or build the perfect, massive MES footprint on day one, define the absolute thinnest slice of architecture needed to run a single production line or a single warehouse process. Get it live, prove the value, and iterate., • Value Stream Mapping (VSM) for IT: Before writing code, map out the data and physical flows on the shop floor. Identify "waste" in the architecture—such as manual data re-entry, unnecessary synchronous middleware hops, or complex screen navigation on hand-held devices., • Decoupled Agile Sprints: Separate the frontend/edge deployment (hand-held device layouts, MES operator screens) from the heavy backend configuration. Use SAP Fiori elements and low-code/no-code tools on SAP BTP to prototype and deploy user-facing improvements in days or weeks, rather than months., • Functional Process Orchestration: Align all architectural decisions with core business operations across Manufacturing, Supply Chain, Production, and Finance., • Process Optimisation: Actively identify opportunities to eliminate manual workarounds during the assessment phase. Build organizational credibility by delivering tangible business value alongside the blueprinting work, ensuring the project delivers operational improvements—not just static documentation., • Ecosystem Connection: Ensure core SAP functional processes seamlessly integrate with critical non-SAP enterprise platforms (e.g., PLM, CAD, MES, MRO) to create a unified, cross‑functional digital thread., • Operational Validation: Work hand‑in‑hand with site production, supply chain, and finance leaders to validate existing pain points and stress‑test target designs against daily operational realities., • Executive Communication: Translate highly complex architectural choices, technical debt remediation strategies, and ecosystem topologies into clear, actionable business value for senior leadership., • Decision‑Grade Deliverables: Produce effort, timeline, and risk‑benefit analyses across realistic, Wales‑specific migration options (Greenfield vs. Brownfield S/4HANA upgrades). Present findings in a high‑impact format suitable for Global Enterprise‑level executive decision‑making., • Autonomous Delivery: Operate comfortably as an individual expert with high senior‑stakeholder visibility. You must be able to independently drive consensus and produce executive‑ready deliverables without relying on a large supporting team beneath you., • Cross‑Functional Collaboration: Serve as a trusted advisor, aligning global delivery teams, functional analysts, business process owners, and development partners around a unified business vision., • Aerospace Regulations: Ensure all designed solutions strictly adhere to aerospace quality standards (AS9100), internal/external regulatory audit controls, ITAR, and global export control laws., • Asset Tracking & Logistics: Embed complex industry logic into the core design to handle high‑consequence operational data, including engine part serialization, genealogy, and life‑limited component tracking., • Experience: Minimum 8–10+ years of SAP architecture and business consulting experience in large enterprise settings. Must possess strong functional process knowledge with a proven track record of delivery in Materials, Supply Chain, and MRO., • Blueprint Leadership: Required experience owning or majorly contributing to an SAP blueprint or fit‑gap design exercise. Pure system execution or support experience without exposure to target‑state design work will not be sufficient., • ERP Lifecycle Mastery: Proven delivery of full‑lifecycle implementations for both SAP ECC and SAP S/4HANA, with deep experience standardising highly customised landscapes toward global templates., • Senior Stakeholder Presence: Exceptional communication skills with a proven ability to interface with, influence, and present to senior corporate leadership., • Aviation/MRO Context: Proven experience within Aerospace & Defence, aviation engine overhaul and component repair operations, or high‑precision industrial manufacturing and MRO sectors., • Strategic Technology Awareness: Strong functional understanding of how to leverage SAP BTP for application extensions (Clean Core principles) and SAP CPI / Integration Suite for secure, scalable integration topologies., • Delivery Methodologies: Solid grasp of modern delivery frameworks, specifically SAP Activate and Agile practices, to structure the blueprinting lifecycle., • Experience with complex Product Lifecycle Management (PLM) and Bill of Materials (BOM) management for aviation engines., • Experience handling the rigorous tracking, serialization, and lifecycle history of life‑limited parts., • Experience assessing or designing the convergence of multiple disparate SAP instances., • SAP Certified Technology Associate – SAP S/4HANA Cloud / Architecture or relevant SAP Functional Certifications. #J-18808-Ljbffr

KPMG International Cooperative is seeking a Global Security Operations Centre Engineering Lead to own the architecture, reliability and cost efficiency of the security operations tech estate. You will lead engineering across SIEM, security orchestration, telemetry, data pipelines and AI-enabled detection platforms. You will drive DevOps maturity, CI/CD, infrastructure as code, automated testing and release discipline, while shaping a predictable, scalable and secure technology roadmap for the #J-18808-Ljbffr

Role: AI Architect Reports to: Chief AI Officer (line management) Location in structure: AI/Data architecture area — embedded within the delivery area it serves, line-managing centrally to the Chief AI Officer Experience: Senior — 6+ years in software, data, or platform engineering/architecture, with meaningful hands-on time on production AI systems, not just pilots Direct reports: None. Influence comes from judgement and presence in the right conversations, not headcount. AI decisions at Citation now cut across Product, Engineering, Security, Infrastructure, and the Business simultaneously — model selection, data architecture, cost, and risk are no longer separable concerns. Without a dedicated architectural owner, each initiative makes these calls independently: patterns diverge, risk goes unspotted until it's expensive, and nobody owns the AI-specific decisions that don't belong wholly to any one function. This isn't a hypothetical gap. Much of this work is already happening informally inside Citation's AI delivery — reviewing partner Statements of Work, governing what goes through Code Factory, acting as the practical architectural voice on live builds. This role formalises that into a mandate with the standing and scope it needs. The AI Architect is Citation's dedicated architect for the AI/Data area, sitting alongside the architects covering Human Resources, Business Systems, Health & Safety, eLearning, Verification, Certification, and Atlas Platform: embedded in the delivery area it serves day to day, but line-managing centrally to the Chief AI Officer so its calls hold across the business, not just the team it happens to sit nearest to. The architecture hub owns target-state and standards across the whole architecture function; this role owns the AI-specific application of it, escalating decisions with consequences beyond AI/Data to the Architecture Review Board rather than deciding them alone. The clearest sign this role is working: AI initiatives at Citation start well and stay on track architecturally. In practice that means: • Established patterns are the default starting point for new builds, not something teams discover after the fact, • Design questions are resolved before Engineering starts building, not during or after, • Third-party Statements of Work are assessed architecturally before they're signed, • Model and hosting choices are made against a documented decision framework, not habit or vendor pressure, • Token spend and cost-per-outcome are tracked and explainable, not a surprise on the invoice, • Security is involved in every significant initiative from the start, not introduced at the end, • Leadership has a current, accurate view of AI architectural risk and direction, with no significant surprises Architectural standards and patterns Own the design patterns Citation builds its AI systems to: retrieval and grounding approaches for systems that need Citation's own knowledge rather than a model's general training, agent orchestration patterns and tool-calling conventions for multi-step and multi-agent work, prompt construction and guardrail design, and the routing logic that decides which model handles which step. Keep these current as the landscape moves, and write decisions down in a form Engineering and Product can actually build against — architecture decision records, not a slide deck. Align standards to Citation's five-layer AI platform architecture. Hold a documented, evidence-based framework for choosing between closed frontier models accessed through a provider's API (Anthropic, OpenAI, Google) and open-weight models run on Citation's own infrastructure (Llama, Mistral, Qwen and similar) — and apply it per workload, not as a single blanket choice. The framework should weigh: • Task complexity — complex reasoning and long‑horizon agentic work generally favour frontier closed models; simpler classification, extraction, and templated generation are often better served by smaller open-weight models at a fraction of the cost, • Volume and cost at scale — at high token volumes, self‑hosting open-weight models can cross into materially cheaper territory; this role owns the analysis of where that break‑even sits for Citation's actual workloads, not a generic industry number, • Data sensitivity and residency — for HR, employment, and compliance data, self‑hosting open-weight models remove a class of third‑party data‑sharing risk that closed providers (even with strong contractual terms) don't fully eliminate, • Fine‑tuning and customisation — where an open-weight model fine‑tuned on Citation's own data would outperform a general‑purpose model at lower running cost, that's a build case this role should be able to make with evidence, not intuition, • Latency, licensing, and total cost of ownership — including the practical overhead of running and maintaining your own models, not just the sticker price of tokens Understand and actively manage the unit economics of every AI solution recommended, including: • Modelling likely token cost at design time, before a system is built, so the business knows what it's signing up for, • Specifying model routing (cheaper models for simpler steps, frontier models reserved for what actually needs them), prompt and context engineering for efficiency, and caching where appropriate, • Recognising that agentic and multi‑agent patterns can multiply token consumption several‑fold over a single well‑scoped call, and that orchestration‑pattern choice is itself a cost decision, • Setting up the observability to track cost‑per‑outcome and cache performance over time, not just the total spend line Assess whether the data behind any AI initiative is structured, accessible, and reliable enough to support the intended behaviour — across Citation's Salesforce, Atlas, Snowflake, and integration layers — and flag readiness issues before they become delivery blockers. Hold the approval path for new AI architectural patterns and material departures from existing standards. Attend initiative design conversations early enough to shape them, not just review them, and sign off on the AI design elements of partner Statements of Work. Define scope and success criteria for AI spikes and proofs of concept before they start, validate vendor and partner capability claims before they're embedded in a committed design, and make sure proof‑of‑concept outputs are evaluated against real delivery constraints — not vendor demo conditions. Act as the internal architectural counterpart to Citation's delivery partners, the way any enterprise architecture function holds its critical vendors to a defined standard: review proposals and Statements of Work before commitments are made, run design reviews during delivery, and give partners a well‑defined target with technical challenge where their decisions need scrutiny. Set the standard for how AI systems are monitored and evaluated once live — offline and online evaluation, drift detection, guardrails — and own the response framework for AI incidents in production, alongside the cost governance described above. Bring Security in as #J-18808-Ljbffr

Location: Cardiff or London / Remote, with occasional visits to our Cardiff or London office (roughly once a fortnight) Sonovate is redefining the future of work through intelligent financial infrastructure. As a technology‑first fintech, we power the contingent workforce economy with scalable, automated funding and workflow solutions that help businesses grow with confidence. Our platform combines embedded finance, automation and seamless integrations to unlock efficiency, flexibility and growth for our customers. Looking ahead, we’re focused on building long-term value and creating structural advantage for businesses in a rapidly evolving world of work. Our ambition is to continually innovate, strengthen our foundations and explore new opportunities that make Sonovate an indispensable partner for organisations everywhere. If you’re motivated by shaping the future and delivering impact at scale, you’ll thrive here. Join us as we power the next generation of work. The Lead Data Engineer is a T-shaped engineer who owns the delivery of data products end to end, from initial acquisition through to analytical enablement. This includes internal reporting, customer-facing features of our SaaS product, and AI-driven applications. They provide subject matter expertise to all stakeholders and are trusted to make sound technical decisions independently. The Lead Data Engineer produces exemplary, maintainable code while setting the standard for engineering practices across the team. They lead root cause analysis on complex platform issues, evaluate new tooling and platform capabilities, and actively coach peers on design patterns, domain knowledge, and engineering excellence. They have deep knowledge of the data platform and multiple business domains, and they anticipate analytics needs rather than waiting to be asked. They will act as liaison between the data capability and the wider infrastructure team. They should be able to hold their own in discussions with Principal Software Engineers and the Head of IT infrastructure to persuade, influence and support wider technical infrastructure decisions where appropriate. • Extensive experience integrating APIs and working with structured and semi-structured data (e.g. JSON, Avro, XML), including both batch and streaming pipelines., • Leads design on feature-level complexity problems, breaking down medium-sized engineering challenges independently., • Coaches’ others on design patterns, domain knowledge, and engineering practices., • Demonstrates a track record of taking data products from proof-of-concept through to production., • Proficient with Git and Azure DevOps for source control and CI/CD orchestration; comfortable with a range of CI build tools and automation, with transferable skills across platforms., • Fully capable in delivering data pipelines using Python, SQL, dbt, and tools like Azure Functions and Logic Apps., • Able to evaluate new features of the Snowflake data platform (e.g. dynamic tables, zero-copy clones) to determine how they could be leveraged and implemented., • Demonstrates advanced knowledge of CI/CD pipelines and the underlying technologies; able to build new pipelines from scratch where needed., • Familiar with infrastructure tooling such as Terraform and Ansible; able to contribute to provisioning and configuration tasks., • Familiar with the broader Azure ecosystem including Azure AKS, Service Bus, Event Hubs, Azure SQL, CosmosDB, and Azure Search; able to provision and support relevant infrastructure as part of end-to-end data product delivery., • Working knowledge of C# .NET Core is welcome but not essential, in an environment that is predominantly Python and SQL., • Writes exemplary, high-quality code adhering to shared best practices. Applies TDD and BDD practices, improving testing strategies by balancing coverage and business criticality., • Refactors multi-component systems to enhance simplicity and consistency., • Works to meet and exceed operational excellence, performance efficiency, reliability, cost optimisation, and security requirements., • Challenges poor practice constructively and drives a strong engineering culture within the team., • Leads root cause analysis for complex pipeline and platform issues, ensuring resolution or timely escalation., • Utilises observability tools and query languages to improve system stability and reduce alert noise., • Able to undertake complex analysis activities as required and translate findings into actionable recommendations., • Possesses deep Data Platform knowledge, including data flows, interdependencies, and the design rationale of the architecture., • Proactively improves platform reliability and coaches others in domain concepts., • Anticipates analytics needs when implementing new data pipelines, rather than waiting for stakeholders to raise them., • Contributes to customer-facing data products as part of the team’s shift towards externally visible data capability. You leverage AI to support informed, efficient and forward‑thinking decisions in your day‑to‑day work. You use approved AI tools appropriately to improve quality, consistency and productivity, while applying judgement, checking accuracy and retaining ownership of outcomes. You uphold the safe, ethical and responsible use of AI, ensuring transparency, confidentiality and human oversight remain central, and you actively build your confidence and capability as AI continues to evolve. • 28 days holiday + bank holidays, • Private medical insurance with Bupa, • Employee Assistance Programme, • Techscheme with Apple and Currys PC World, • Working with latest technologies and leading SaaS providers, • Eye care vouchers with Specsavers, • 50% discounted gym membership, • 2 days charity leave per year, • You’ll work for a company that is passionate about personal development and a strong community focussed culture We know that diverse teams are strong teams. We promote a diverse, inclusive and empowering culture and are committed to recruiting, retaining and developing all our employees Please note: All successful applicants who are offered a role at Sonovate will be required to pass background screening checks before starting with us. These checks will include National ID Checks, Right to Work, Employment References, Adverse Financial History, Criminal Record, Global Sanctions, Bankruptcy checks. Our Talent Acquisition team will be able to run you through these in detail at the early stage of your application #J-18808-Ljbffr

You will build cluster management, deployment automation, and production monitoring to enable teams worldwide to serve AI models with minimal friction.The role requires Kubernetes expertise, experience with custom operators, and proficiency in Python/Rust/Go, plus Terraform and Helm for infrastructu

The Full Stack AI Consultant (Developer) is a hands-on engineer at the core of Accenture's agentic AI delivery capability. This role is for those who build things — full stack applications, agentic workflows, knowledge pipelines, and tool integrations — and who want to do that work at the frontier of enterprise AI. Consultants work within delivery teams, turning business requirements into production-grade agentic AI solutions under the guidance of technical leads and managers. The expectation is active, daily engineering: writing code, building agents, implementing MCP servers, designing knowledge pipelines, and maintaining the DevOps and AgentOps practices that keep production systems running. Consultants on this team are also expected to invest continuously in learning — agentic AI is evolving rapidly, and staying current is a professional responsibility, not optional. • Design and build full stack agentic AI applications — Python backends, REST and event-driven APIs, and React or equivalent frontends — to production engineering standards., • Implement agentic application UX: streaming responses, intermediate output display, reasoning transparency, and error and escalation interfaces for end users., • Translate business requirements into technical specifications; work with managers and clients to clarify scope, surface ambiguities, and deliver against agreed outcomes., • Build and configure agents using established orchestration frameworks (LangGraph, AutoGen, or equivalent): harness setup, persona and instruction loading, tool binding, memory configuration, and lifecycle management., • Implement reasoning patterns (ReAct, Chain-of-Thought, Plan-and-Execute) appropriate to each agent use case; design and version prompt architecture including system prompts, few-shot examples, and structured output schemas., • Build multi-agent workflows— defining agent roles, A2A handoff contracts, shared state schemas, and escalation paths — under architectural guidance from technical leads., • Design, build, and maintain MCP servers connecting agents to enterprise systems, APIs, databases, and SaaS platforms — with robust schema design, error handling, idempotency, and retry logic., • Translate business processes into agent-executable skills, structured instructions, and reusable workflows — bridging the gap between business requirements and agent implementation., • Implement context engineering pipelines, memory architectures (episodic, working, long-term), andLLM gateway configuration to support reliable, cost-efficient agent operation., • Build RAG pipelines: document ingestion, chunking, embedding, vector store indexing, hybrid retrieval, re-ranking, and quality evaluation., • Implement Text-to-SQL capabilities — schema grounding, query generation, validation, and safe execution against enterprise databases., • Integrate Elasticsearch as a retrieval backend; build knowledge graph components and ontology-driven query layers where required by the use case., • Maintain CI/CD pipelines for agent code, prompt changes, and infrastructure — including automate devaluation gates and deployment strategies across environments., • Instrument agentic systems with production observability: distributed tracing, token cost tracking, latency profiling, failure logging, and drift detection., • Build agent testing suites: unit tests with mocked tools, multi-agent integration tests, and simulation environments; implement guardrails, PII redaction, and audit trail logging., • Manage versioned agent and asset registries — agents, tools, skills, prompts, and workflows — with controlled promotion across development, staging, and production., • Maintain active, current knowledge of agentic AI frameworks, tooling, and research — testing new approaches and bringing relevant innovations into the team's engineering practice., • Contribute to internal knowledge sharing: documenting patterns, building reusable accelerators, and supporting capability development within the team. #J-18808-Ljbffr

The Full Stack AI Consultant (Developer) is a hands-on engineer at the core of Accenture's agentic AI delivery capability. This role is for those who build things — full stack applications, agentic workflows, knowledge pipelines, and tool integrations — and who want to do that work at the frontier of enterprise AI. Consultants work within delivery teams, turning business requirements into production-grade agentic AI solutions under the guidance of technical leads and managers. The expectation is active, daily engineering: writing code, building agents, implementing MCP servers, designing knowledge pipelines, and maintaining the DevOps and AgentOps practices that keep production systems running. Consultants on this team are also expected to invest continuously in learning — agentic AI is evolving rapidly, and staying current is a professional responsibility, not optional. • Design and build full stack agentic AI applications — Python backends, REST and event-driven APIs, and React or equivalent frontends — to production engineering standards., • Implement agentic application UX: streaming responses, intermediate output display, reasoning transparency, and error and escalation interfaces for end users., • Translate business requirements into technical specifications; work with managers and clients to clarify scope, surface ambiguities, and deliver against agreed outcomes., • Build and configure agents using established orchestration frameworks (LangGraph, AutoGen, or equivalent): harness setup, persona and instruction loading, tool binding, memory configuration, and lifecycle management., • Implement reasoning patterns (ReAct, Chain-of-Thought, Plan-and-Execute) appropriate to each agent use case; design and version prompt architecture including system prompts, few-shot examples, and structured output schemas., • Build multi-agent workflows— defining agent roles, A2A handoff contracts, shared state schemas, and escalation paths — under architectural guidance from technical leads., • Design, build, and maintain MCP servers connecting agents to enterprise systems, APIs, databases, and SaaS platforms — with robust schema design, error handling, idempotency, and retry logic., • Translate business processes into agent-executable skills, structured instructions, and reusable workflows — bridging the gap between business requirements and agent implementation., • Implement context engineering pipelines, memory architectures (episodic, working, long-term), andLLM gateway configuration to support reliable, cost-efficient agent operation., • Build RAG pipelines: document ingestion, chunking, embedding, vector store indexing, hybrid retrieval, re-ranking, and quality evaluation., • Implement Text-to-SQL capabilities — schema grounding, query generation, validation, and safe execution against enterprise databases., • Integrate Elasticsearch as a retrieval backend; build knowledge graph components and ontology-driven query layers where required by the use case., • Maintain CI/CD pipelines for agent code, prompt changes, and infrastructure — including automate devaluation gates and deployment strategies across environments., • Instrument agentic systems with production observability: distributed tracing, token cost tracking, latency profiling, failure logging, and drift detection., • Build agent testing suites: unit tests with mocked tools, multi-agent integration tests, and simulation environments; implement guardrails, PII redaction, and audit trail logging., • Manage versioned agent and asset registries — agents, tools, skills, prompts, and workflows — with controlled promotion across development, staging, and production., • Maintain active, current knowledge of agentic AI frameworks, tooling, and research — testing new approaches and bringing relevant innovations into the team's engineering practice., • Contribute to internal knowledge sharing: documenting patterns, building reusable accelerators, and supporting capability development within the team. #J-18808-Ljbffr

Software Engineer - Vulnerability Management Starling Cardiff, Wales, GB Starling is the UK's first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time. We are about giving customers a new way to spend, save and manage their money while taking better care of the planet which has seen us become a multi-award winning bank that now employs over 2800 across five offices in London, Cardiff, Dublin, Southampton, and Manchester. Our journey started in 2014, and since then we have surpassed 3.5 million accounts (and four account types!) with 350,000 business customers. We are a fully licensed UK bank but at the heart, we are a tech first company, enabling our platform to deliver brilliant products. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. In Technology, we're asking that you attend the office a minimum of 1 day per week. We are seeking a highly motivated and experienced Vulnerability Management Engineer to join our Cyber Security team. As a Vulnerability Management Engineer, your primary responsibility will be to manage vulnerability management tooling, and have an active role in improving existing processes. You will achieve this by creating automated solutions through collaboration with technical teams across Starling. • Design, build, and maintain robust vulnerability management tooling and technical solutions., • Drive efficiency by implementing automated solutions that eliminate manual overhead and streamline operations., • Partner with internal engineering teams and remediators to intelligently prioritise remediation activities., • Synthesise raw vulnerability data into actionable insights, reports, and metrics to support a risk-based security posture., • Engineer custom integrations between internal and external platforms to enhance data capture throughout the remediation lifecycle., • Maintain strict adherence to global security standards, regulatory requirements, and industry frameworks., • Keep at the forefront of the industry by monitoring emerging trends in vulnerability management and shifting regulatory landscapes., • Treat security as a continuous engineering challenge to outpace the threat landscape, proactively identifying vulnerabilities and architecting technical solutions to fortify our global ecosystem., • Develop and maintain comprehensive technical playbooks and runbooks to standardise vulnerability triage, remediation, and incident response procedures, ensuring consistent, repeatable, and efficient security operations across the team., • Utilise pattern and trend analysis to identify "Vulnerability Hotspots" (e.g., recurring issues in specific base Images or teams) to drive strategic risk reduction rather than just individual remediation., • Cloud Experience (AWS, GCP), • Kubernetes and Container experience, • Infrastructure as code (terraform), • Proficiency with either Go or Java programming languages, • Strong engineering and automation background with a keen interest in Vulnerability Management, • Experience with developing integrations by interacting with APIs, • Ability and willingness to learn new technologies and adapt to evolving security landscapes, • Capability to understand the bigger picture while effectively managing details, • Strong written and verbal communication skills to effectively collaborate with cross-functional teams and stakeholders, • Deep understanding of container & orchestration security: practical knowledge of securing containerised environments, including image scanning, runtime protection, and hardening K8s manifests., • Proficiency in cloud posture management: familiarity with tools and frameworks to monitor cloud configuration drift and ensure adherence to security benchmarks (e.g., CIS Benchmarks, AWS/GCP best practices), • Riskbased prioritisation models: proven ability to translate raw vulnerability data (CVSS scores, exploitability) into business contextualised risk insights, enabling engineering teams to prioritise remediation effectively., • Practical experience in one or more of the vulnerability management fields would be desirable but not essential:, • Endpoint vulnerability scanning, • Vulnerability intelligence,, • AppSec vulnerability management, • Vulnerability management of cloud native workloads, • External attack surface management, • Experience with Software Bill of Materials (SBOM) management, specifically ingesting and correlating standard format Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: • First stage with our Information Security Lead, • Second stage - Take home task, • Third stage with additional members of the Vulnerability Management and Security Engineering team, • Final stage with Security Engineering Lead and Information Security Director, • 25 days holiday (plus take your public holiday allowance whenever works best for you), • An extra day's holiday for your birthday, • Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off, • 16 hours paid volunteering time a year, • Salary sacrifice, company enhanced pension scheme #J-18808-Ljbffr

Principal Software Engineer • Salary to £80k, poss higher for their ‘Unicorn' candidate, • Role can be based remotely, as long as you can occasionally travel to London for client work (travel expenses paid) - approx. once a month. NB: Please only apply if you are a UK National & UK passport holder, have resided in the UK for the past 5 years and are prepared to go through UK SC Security Clearance. Proof of ID will be required prior to interview. This role is with a growing is a technology consultancy. This is a hands-on principal engineering role: architecture ownership across multiple services, technical leadership across teams, and direct contribution to engineering standards and hiring. Their successful candidate will be writing code as well as setting direction - this is not a purely architectural or management position. Current delivery is a Java/Spring Boot microservices platform on AWS EKS, with a Next.js frontend and Camunda-based process orchestration. Essential Experience level: 10+ years minimum, principal or staff grade equivalent. Backend and cloud: Java 17 or 21, at expert level - modern language features Spring Boot in depth: security, transaction management, async/reactive Microservices architecture design - has designed services from scratch Kubernetes and Docker in production (not local development use) AWS, hands-on: EKS, Lambda, S3, RDS, EventBridge CI/CD pipeline ownership Automated testing discipline: JUnit, Mockito, integration testing, TDD or BDD Frontend: Held a lead or tech lead role on frontend development in React. Leadership must have been over React work itself. Understands and has implemented FFE/BFE separation - the split between the presentation layer (components, styling, client state) and the frontend's own server-side tier (data aggregation for the UI, session and auth handling, server-side rendering, API route composition). Leadership: Architecture ownership across multiple systems Cross-team technical leadership Track record of influencing engineering standards, technology choices, or hiring Evidence of growing other engineers Security clearance: UK SC clearance required. Active clearance strongly preferred; eligible candidates considered - must be a UK national with 5+ years continuous UK residency. Desirable: Camunda 8 / BPMN process orchestration Next.js specifically (App Router, server components, route handlers) Terraform or other infrastructure-as-code, to module-authoring level React Native or equivalent — building native mobile from a React codebase Design system or component library ownership Consultancy or client-facing delivery background Open-source contributions, conference talks, or published technical writing Polyglot beyond Java Other Stuff NB: for non-UK Citizens; we cannot accept applications from anyone requiring sponsorship (now or in the future) for UK permanent employment you are utilising a work visa this must allow you to work in the UK unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Java Spring Boot Microservices Kubernetes Docker AWS EKS Lambda S3 RDS EventBridge CI/CD Junit Mockito integration testing TDD BDD React Camunda BPMN Next.js Terraform lead senior manage manager director remote London hybrid developer engineer JBRP1_UKTJ

KPMG International helps set strategy, protect the reputation of the global organisation and support independent member firms that provide Audit, Tax and Advisory services. Its global teams set standards, develop best practices and deliver technology-enabled solutions that support the wider network. The Global Security Operations Centre Engineering Lead sits within Information Security Services, part of the Global Information Security Group in Global Digital. The team protects KPMG and its clients from cyber threats through continuous monitoring, detection, investigation and response, working closely with security, technology and business teams across the global organisation. You will be accountable for the engineering platforms, integrations, automation and AI-enabled capabilities behind this service. Within the strategic direction set by leadership, you will translate priorities into a practical roadmap, develop business cases and investment recommendations, and deliver secure, scalable and cost-effective services. You will also lead a globally distributed team, manage the engineering budget and supplier performance, and promote a DevOps-first approach in which content and infrastructure are version-controlled, reviewed, tested and deployed consistently. Roles and responsibilities • Own the architecture, reliability, performance, resilience, scalability and cost efficiency of the security operations technology estate, translating platform strategy into a prioritised engineering roadmap., • Lead engineering across security information and event management, security orchestration and automated response, telemetry, data pipelines and detection content platforms., • Advance DevOps maturity through continuous integration and delivery, infrastructure as code, automated testing, observability and disciplined release engineering, reducing manual effort and improving detection and response times., • Design, evaluate and introduce AI-assisted and agentic capabilities for detection, triage, enrichment, investigation and response, with clear guardrails, monitoring, auditability and human oversight., • Run a structured innovation pipeline from horizon scanning and proof of value through controlled production use, demonstrating benefits and stopping initiatives that do not deliver., • Set and enforce engineering, secure development, testing, release, AI use and documentation standards; approve production readiness and manage technical debt and risk remediation., • Lead, resource, coach and develop the global engineering team, strengthening capability in DevOps, cloud, data and AI while supporting objectives, career development, succession and engagement. #J-18808-Ljbffr

Capgemini UK is seeking an experienced engineer to design, build and run agentic AI applications on Azure for regulated sectors. You will take an AI solution from design through live production with audit trails and governance, delivering production-grade APIs in Python and C#/.NET. You will collaborate with architects and clients, mentor peers, and implement guardrails, tool-calling and multi-agent orchestration in scalable Azure services. #J-18808-Ljbffr

Organisation | Public Sector / Digital Transformation A leading organisation undergoing a significant digital transformation programme is seeking an experienced Data Engineer to join a high-performing technical team. This is an exciting opportunity to play a key role in designing, building, and maintaining modern cloud-based data solutions that support data-driven decision-making across the organisation. Working within an Agile environment, you'll help develop scalable data platforms, optimise data pipelines, and contribute to the delivery of robust, secure, and high-quality data products. • Design, develop and maintain scalable cloud-based data solutions, • Build and optimise ETL and ELT pipelines, • Support the migration of existing data services into cloud environments, • Develop and maintain data products that support reporting and analytics, • Implement CI/CD processes and engineering best practices, • Monitor, troubleshoot and improve data platform performance, • Work closely with technical and business stakeholders to gather requirements and deliver effective solutions, • Ensure data quality, governance, and security standards are maintained, • Contribute to data architecture, documentation, and continuous improvement initiatives, • Collaborate within multidisciplinary Agile delivery teams, • Strong experience with Python and SQL, • Experience building and maintaining enterprise data pipelines, • Experience working with cloud technologies, ideally Google Cloud Platform, • Knowledge of relational databases and data warehousing, • Experience with version control tools such as Git, • Understanding of data modelling principles, • Experience working with large-scale datasets, • Knowledge of workflow orchestration tools, • Strong stakeholder engagement and communication skills, • Experience working within Agile delivery environments, • Google Cloud certifications, • Experience with Docker or containerisation technologies, • Exposure to BigQuery, Spark, Dataproc, or similar technologies, • Knowledge of DataOps and DevOps practices, • Understanding of UK GDPR and data governance principles #J-18808-Ljbffr

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

HGV Class1 Driver Bristol £38000/annum including the quarterly paid bonus - UK work permit mandatory.We are MOKI TRANS LTD.Established in 2019, we have built our successful business by providing an excellent middle-mile service to big brand names.As their bus

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu