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Role Title: Software Engineer - Strategic Engineering, Cyber SecurityLocation: Sheffield (3 days onsite mandatory)Start Date: 9-Nov-26End Date: 22-Sep-27Rate: £402Role purpose:We're looking for a GCB5 Software Engineer to join the Cyber Security Strategic Engineering team. You'll build and run software solutions that underpin our cyber big data platform and the services that enable our data engineering teams. You'll also contribute to engineering solutions that support security governance and controls.Early in the role, you'll help manage and improve demand for APIs into our cyber data lake (via Kong) and deliver automation across our DevOps integration with change/request processes and systems. Longer term, you'll contribute to core platform services and engineering initiatives across the cyber domain.Key responsibilities:Software engineering & delivery:Design, build, test, and maintain backend services, APIs, and automation used by cyber engineering and data teams.Apply good engineering practices: design patterns, SOLID principles, pragmatic architecture, and strong code quality.Contribute to development, we have a lot of Go and Python (previous experience helpful but not required; willingness to learn is essential).Write clear technical documentation and support knowledge sharing across the team.Platform, cloud & infrastructure as code:Build and operate cloud-based solutions on AWS or Azure, understanding core services and how to use them securely and efficiently.Use Terraform to provision and maintain infrastructure, including networking components and access controls.Work with cloud networking concepts (e.g., VPC/VNet, subnets, routing, security groups/NSGs, private connectivity, DNS).DevOps & operational excellence:Build and maintain CI/CD pipelines using 'pipeline as code' approaches, improving reliability, repeatability, and auditability.Configure and operate build/deployment agents/runners and associated tooling.Implement secure secrets handling in pipelines (e.g., vault/managed secrets, rotation concepts, avoiding secret leakage).Support production operations where needed: monitoring, alerting, troubleshooting, and continuous improvement.Initial focus / day-to-day (first phase):Manage and optimise API demand and onboarding for the cyber data lake through Kong (API gateway), including access patterns, standards, and operational support.Automate workflows across DevOps tooling and change/request processes, reducing manual effort and improving control and traceability.Required skills and experience:Strong programming experience in at least one major language (e.g., Java, C#/.NET, Python), with the ability to pick up new languages quickly.Hands-on experience applying common engineering best practices (design patterns, SOLID, refactoring, code reviews).Working knowledge of modern testing approaches such as TDD/BDD, and building testable services.Cloud experience in AWS or Azure, with a practical understanding of core offerings and how to use them in production.Infrastructure as Code experience with Terraform (modules, state, plan/apply workflow, environment separation).Strong DevOps experience: CI/CD, pipeline-as-code, agents/runners, artefact management, and operational hygiene.Understanding of secrets management concepts in pipelines and deployments.Comfortable working in a security-focused environment with a strong appreciation for control, auditability, and risk management.Desirable (nice to have):Experience with API gateways (especially Kong), API lifecycle management, and API security patterns (authN/authZ, rate limiting, mTLS, OAuth2/JWT concepts).Experience building platforms/services that support data engineering teams (e.g., ingestion services, metadata, access patterns, developer enablement).Familiarity with big data ecosystems - particularly data bricks/spark (e.g., data lakes, distributed compute, streaming) and observability practices.Prior exposure to cyber/security engineering domains (useful, not required).Lots of cloud engineering experienceSerious ownership of Devops PipelinesIf you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.TPBN1_UKTJ

\n Role Title: Private Cloud Principal Engineer \n Duration: contract to run until 25/08/2027 \n Location: Sheffield. Hybrid, 3 days per week onsite \n Rate: up to £702.88 p/d Umbrella inside IR35 Role purpose / summary\n As a Principal Engineer in Private Cloud, you'll provide hands-on technical leadership across the client's private cloud platform, shaping and improving our virtualisation, container and Kubernetes capabilities, and enabling resilient, secure, high-performing services (including Kafka-based event streaming and microservices platforms). Reporting to the Head of Private Cloud, you'll partner closely with Product Owners, architects and engineering teams across CTO to turn strategy into practical, well-engineered outcomes. Key responsibilities\n \n • Technical leadership & engineering excellence\n, • Set engineering direction for private cloud capabilities spanning virtualisation, containers, Kubernetes, Kafka/event streaming, and microservices enablement.\n, • Act as a senior technical authority, review designs, challenge assumptions, and ensure solutions are supportable, secure, and cost-effective.\n, • Define and promote engineering standards, reference architectures, patterns and guardrails (think: "paved roads", not "speed bumps").\n, • Lead the end-to-end design and evolution of private cloud platform components (compute, storage, networking, orchestration, platform services).\n, • Drive consistent platform capabilities across environments (dev/test/prod), improving reliability, scalability, performance and operability.\n, • Influence platform roadmaps with Product Owners; translate business and technology needs into actionable engineering plans.\n, • Kubernetes & container platform\n, • Own key decisions around Kubernetes platform design: cluster architecture, multi-tenancy, ingress, service mesh (where applicable), policy, secrets, observability, upgrade strategies, and workload onboarding.\n, • Establish repeatable deployment patterns using GitOps/CI/CD, configuration management, and automation-first approaches.\n, • Kafka & event-driven platforms\n, • Provide technical leadership on Kafka platform usage and enablement (topic design patterns, partitioning strategy, resiliency, schema governance, security, monitoring and capacity planning).\n, • Partner with architects and service teams to adopt event-driven patterns safely and consistently.\n, • Coach teams on microservices design, domain boundaries, API/event contracts, resiliency patterns, and operational readiness.\n, • Improve developer experience through templates, golden paths, self-service capabilities, and clear documentation.\n, • Embed security-by-design and operational excellence: hardening, vulnerability management, identity and access controls, data protection, and auditability.\n, • Work as a bridge between Product, Architecture and Engineering-getting alignment without boiling the ocean.\n, • Communicate complex technical topics clearly to mixed audiences; write crisp design docs and influence decision forums.\n To be successful in this role, you should meet the following requirements:\n \n, • Proven experience as a Principal Engineer / Lead Engineer / Senior Staff Engineer (or equivalent) in large-scale, regulated, enterprise environments.\n, • Strong background in private cloud / platform engineering, including solid depth in at least two of: Virtualisation technologies (e.g., VMware or equivalent), Containers & Kubernetes (cluster operations, upgrades, networking, multi-tenancy, policy), Kafka/event streaming platforms (architecture, operations, governance)\n, • Strong engineering fundamentals: distributed systems, networking concepts, performance tuning, fault tolerance and capacity planning.\n, • Automation mindset with experience in Infrastructure as Code and CI/CD practices (tooling can vary).\n, • Strong operational and risk awareness: security controls, change management, and production readiness practices.\n Desirable skills:\n \n, • Service mesh, API gateways, secrets management, policy-as-code.\n, • Observability platforms (metrics/logs/traces) and practical incident leadership.\n, • Experience building "platform as a product" capabilities (service catalogue, self-service, developer portals).\n, • Experience with multi-region / active-active design considerations and resilience testing.\n Leadership behaviours:\n \n, • We Value Difference: welcomes challenge, encourages diverse views, and makes space for quieter voices in technical discussions.\n, • We Succeed Together: builds strong partnerships across Product, Architecture and Engineering to deliver shared outcomes.\n, • We Take Responsibility: makes clear trade-offs, owns decisions, and reduces operational and security risk proactively.\n, • We Get It Done: drives pragmatic outcomes, removes blockers, and raises engineering quality while moving at pace.\n What success looks like:\n \n, • Faster, safer onboarding of workloads to the private cloud through repeatable patterns and self-service capabilities.\n, • Improved platform stability and performance with measurable reliability outcomes (SLOs, reduced incidents, faster recovery).\n, • Clear, adopted standards for Kubernetes, Kafka and microservices usage across CTO engineering teams.\n, • Stronger collaboration across Product/Architecture/Engineering with transparent roadmaps and well-governed technical decisions\n Key relationships:\n \n, • Reports to: Head of Private Cloud\n, • Works closely with: Product Owners, CTO Architects, Platform/Infrastructure Engineering, Application Engineering teams, Cyber Security, Operations/SRE, and relevant governance forums\n \n All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply! \n If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website. \n #J-18808-Ljbffr

Synechron is a global technology consulting firm that helps leading organizations accelerate digital transformation through innovation, expertise, and agility. With more than 16,500 professionals across around 60 offices in over 20 countries, we combine deep industry knowledge with advanced capabilities in AI, cloud, cybersecurity, and data engineering. Our regional teams, supported by strategic delivery centers, provide scalable, cost-efficient solutions tailored to local markets. Through our award-winning Synechron FinLabs accelerators and strategic partnerships with AWS, Microsoft, Databricks, Salesforce, and ServiceNow, we enable clients to innovate fast and lead with confidence. For more information on the company, please visit our website or LinkedIn community. Diversity, Equity, and Inclusion: Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and an affirmative-action employer. Our Diversity, Equity, and Inclusion (DEI) initiative 'Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. Job Description: We are seeking a Principal Engineer - Private Cloud to provide technical leadership across virtualisation, Kubernetes, container, Kafka and microservices platforms. Reporting to the Head of Private Cloud, you will define engineering direction, shape platform roadmaps and deliver secure, resilient and scalable private cloud capabilities across a highly regulated environment. You will work closely with Product Owners, architects, engineering teams, Cyber Security and Operations to turn strategy into practical technology outcomes. Key responsibilities: • Define technical direction for private cloud, Kubernetes, container, virtualisation and Kafka platforms., • Lead the architecture and evolution of compute, storage, networking, orchestration and platform services., • Establish reference architectures, engineering standards, reusable patterns and platform guardrails., • Own Kubernetes platform decisions covering cluster architecture, networking, multi-tenancy, security, policy, secrets, observability and upgrades., • Define Kafka standards for topic design, partitioning, resiliency, schema governance, security, monitoring and capacity planning., • Promote automation-first delivery through Infrastructure as Code, GitOps, CI/CD and configuration management., • Improve developer experience through golden paths, templates, self-service capabilities and clear documentation., • Review technical designs and ensure solutions are secure, supportable, resilient, cost-effective and production-ready., • Coach engineering teams on microservices, APIs, event-driven architecture and operational resilience., • Drive security-by-design, vulnerability management, access controls, data protection and auditability., • Support multi-region, active-active, resilience testing, capacity planning and incident improvement initiatives., • Communicate complex technical concepts clearly and influence decisions across architecture, product and engineering forums., • Experience as a Principal Engineer, Lead Engineer, Senior Staff Engineer or equivalent., • Proven experience in large-scale enterprise or regulated environments., • Strong private cloud or platform engineering background., • Deep expertise in at least two of the following:, • Virtualisation technologies, such as VMware or equivalent, • Kubernetes and container platforms, • Kafka or enterprise event-streaming platforms, • Strong knowledge of distributed systems, networking, performance, fault tolerance and capacity planning., • Experience with Infrastructure as Code, CI/CD and automation., • Strong understanding of security, operational risk, change management and production readiness., • Excellent communication, technical writing, stakeholder management and influencing skills., • Service mesh, API gateways, secrets management and policy-as-code., • Metrics, logging and distributed tracing platforms., • Platform-as-a-product, developer portals and service catalogues., • Multi-region and active-active architecture., • Resilience engineering, performance testing and incident leadership., • Experience in financial services or other highly regulated industries. This is an opportunity to shape the future of private cloud platforms and build secure, resilient and developer-focused capabilities that support critical services at enterprise scale. #J-18808-Ljbffr

Arm’s IP and Technology team in Solutions Engineering department develop subsystem solutions and SoC IPs for next-generation systems targeting Edge AI, Physical AI and Cloud AI. We work across Arm, bringing together the latest Arm technologies and selected third-party IP, as well as developing our own IP where needed, to deliver highly integrated and optimised solutions. Arm’s IP and Technology team in Solutions Engineering department develop subsystem solutions and SoC IPs for next-generation systems targeting Edge AI, Physical AI and Cloud AI. We work across Arm, bringing together the latest Arm technologies and selected third-party IP, as well as developing our own IP where needed, to deliver highly integrated and optimised solutions. We are looking for an experienced, motivated and creative Staff Subsystem Design Engineer with a strong background in RTL, IP design and subsystems. You will work on challenging subsystem designs, developing microarchitectures, designing and integrating IP, and solving complex engineering problems across power, performance, area and implementation. You will work with a diverse, global group of engineers and collaborate across architecture, verification, implementation and other technology teams to deliver high-quality designs. As a Staff Subsystem Design Engineer, you will be involved in the specification, microarchitecture, RTL design and integration of complex IPs and compute subsystems. • Analyse architectural and system specifications, understand implementation challenges and collaborate with architects to refine solutions., • Develop subsystem and IP microarchitecture specifications from high-level requirements., • Design new IP and subsystem logic where required, as well as integrate existing Arm and third-party IP into complete subsystem solutions., • Understand IP functionality, interfaces and system-level interactions to ensure robust integration within the subsystem., • Develop and maintain design intent, including UPF and timing constraints, where applicable., • Perform and drive design quality checks including Lint, CDC, RDC, X-propagation, synthesis and other static design checks., • Navigate architectural and implementation trade-offs and clearly articulate the rationale behind design decisions., • Work closely with verification teams to review test plans, support verification and debug complex design issues., • Collaborate with implementation, performance and power teams to ensure designs meet functional, timing, area, power and performance requirements., • Improve design methodologies and flows to address evolving subsystem and IP development needs., • Plan and drive your work to ensure high-quality and timely delivery., • Provide technical guidance, design reviews and support to other engineers while contributing effectively as part of the wider team. In addition to holding a Bachelor's, Master's or PhD degree in Electrical Engineering, Electronics Engineering, Computer Engineering or a related discipline, you will have 10+ years of relevant industry experience and demonstrate: • Extensive hands-on experience in digital RTL design and microarchitecture development using SystemVerilog and/or Verilog., • A strong delivery record of sophisticated IP or RTL subsystem designs., • Deep understanding of RTL design techniques and methodologies for complex subsystem and SoC development., • Ability to analyse high-level specifications and translate them into efficient and robust microarchitectures., • Familiarity with industry-standard EDA tools and methodologies., • Experience with static design checks including Lint, CDC, RDC and X-propagation., • Experience with synthesis, timing analysis and power-management techniques., • Understanding of low-power design methodologies, including UPF, clock/power gating and multiple power domains., • Ability to navigate performance, power, area, timing and complexity trade-offs and clearly articulate the rationale behind engineering decisions., • Knowledge of on-chip protocols and interfaces including AMBA AXI, APB and streaming interfaces., • Strong understanding of computer architecture and processor-based systems., • Knowledge of AI-powered software development tools and scripting workflows, including AI coding assistants such as Codex, GitHub Copilot, or equivalent technologies., • Excellent communication, collaboration and teamwork skills., • A self-driven and motivated approach, with the ability to take ownership of complex technical problems and drive them to completion., • Experience with Arm-based designs, Arm System Architectures and AMBA protocols., • Experience with advanced low-power RTL design and power-aware verification, including power/clock gating, retention and DVFS., • Proficiency with SystemVerilog Assertions (SVA) and formal verification techniques, and UVM., • Knowledge of Functional Safety methodologies and safety-related hardware design., • Experience developing or improving RTL, IP and subsystem design flows and methodologies., • High-level programming experience such as C/C++. You will have the opportunity to apply your engineering experience to challenging subsystem and IP design problems, working with teams across Arm to develop technologies for the next generation of AI systems. You will be part of #J-18808-Ljbffr

Methods Analytics (MA) is recruiting for a Data Architect to join our team a permanent basis. This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol. • Advocate the business benefit of data standards, championing and governing those standards across projects and the organisation, • Demonstrate an overall perspective on business issues and activities, determining patterns, standards, policies, roadmaps and vision statements, • Make and guide effective decisions, explaining clearly how decisions have been reached and resolving technical disputes across varying levels of complexity and risk, • Communicate effectively across organisational, technical and political boundaries, making complex technical information accessible for non-technical audiences, • Design how to expose data from systems (APIs, real-time streams), link data from multiple systems, and deliver modern data services, • Ensure that risks associated with deployment are adequately understood and documented, • Design end-to-end data solutions from requirements through implementation, including technical documentation and architecture blueprints, • Lead complex data migration projects from legacy systems to modern cloud-native platforms, • Evaluate and recommend appropriate technologies across the modern data stack to meet specific client needs, • Mentor junior team members and collaborate with data engineers, software engineers, data scientists, and business stakeholders, • Enable transformative business decisions through robust, scalable data architectures, • Drive adoption of modern data platforms and AI-enabled analytics solutions, • Establish technical standards and architectural patterns that ensure quality, security, and maintainability, • Help cultivate a data-driven culture within client organisations and internally, • Deliver architectures that seamlessly integrate traditional and modern data systems, • Deep knowledge of the Azure data stack (Azure SQL Server, CosmosDB, Azure Data Factory, Purview, Synapse, Event Hub, Azure Databricks/Fabric), • Extensive data modelling experience: both normalised relational models and de-normalised Star Schema/dimensional models, • Excellent relational database design skills with expertise in diagnosing and optimising performance across SQL Server, PostgreSQL, and cloud databases, • Proven track record with complex data migration projects (terabyte+ datasets, multiple legacy source systems, structures and unstructured data), • Proficiency with Parquet/Delta Lake or other modern data storage formats, • Experience with streaming architectures using Kafka, Event Hubs, or Kinesis for real-time data processing, • Knowledge of data architectures supporting AI/ML workloads, including vector databases, feature stores and MLOps pipelines, • Experience processing and managing unstructured data types (text, images, logs, sensor data), • Understanding of Lambda and Kappa architectural patterns and when to apply each, • Exposure to high-performing, low latency or large volume data systems, • Knowledge of and/or experience with Government Digital Service practices across Discovery/Alpha/Beta/Live phases, • Understanding of vector databases and similarity search for AI applications, • Experience with Infrastructure as Code and modern DevOps practices, • Knowledge of how to design and analyse operational logs for data processing, and triage incidents, • Awareness of advances in AI technologies, data services, and architectural practices, • Industry specialisation in specific sectors (Engineering, Manufacturing, Healthcare etc.), • Public sector or defence experience, • Experience with modern unified data platforms like Databricks or Microsoft Fabric, • Understanding of data mesh or data fabric architectural approaches, • Relevant industry certifications such as TOGAF 9, CDMP (Certified Data Management Professional), or Microsoft Certified: Azure Solutions Architect Expert (AZ-305) 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 GOV.UK – Government baseline personnel security standard. 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. At Methods Analytics, we believe in a transparent hiring process. Here's what you can expect: • Internal Application Review, • Initial Phone Screen, • Technical Interview, • Collaborative Technical Exercise, • Final Interview, • Offer Methods Analytics (MA) exists to improve society by helping people make better decisions with data. Combining passionate people, sector-specific insight, and technical excellence to provide our customers an end-to-end data service. We use a collaborative, creative and user centric approach to data to do good and solve difficult problems. Ensuring that our outputs are transparent, robust, and transformative. We value discussion and debate as part of our approach. We will question assumptions, ambition, and process – but do so with respect and humility. We relish difficult problems, and overcome them with innovation, creativity, and technical freedom to help us design optimum solutions. Ethics, privacy, and quality are at the heart of our work, and we will not sacrifice these for outcomes. We treat data with respect and use it only for the right purpose. Our people are positive, dedicated, and relentless. Data is a vast topic, but we strive for interactions that are engaging, informative and fun in equal measure. But maintain a steely focus on outcomes and delivering quality products for our customers. We are passionate about our people; we want our colleagues to develop the things they are good at and enjoy. • 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, • Annual two-day technical hackathon bringing together all technical teams for innovation and collaboration, • Monthly Engineering & Architecture Community of Practice event, • Bi-annual whole company teambuilding events bringing everyone together for a day of fun and connection, • Development access to Pluralsight and LinkedIn Learning, • Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organisation, • Private Medical Insurance which is non-contributory (spouse and dependants included), • Worldwide Travel Insurance which is non-contributory (spouse and dependants included), • Discretionary Company Bonus based on company and individual performance, • Life Assurance of 4 times base salary, • Time off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year, • Pension Salary Exchange Scheme with 4% employer contribution and 5% employee contribution, • Wellness 24/7 Confidential employee assistance programme, • Social - office parties, pizza Friday and commitment to charitable causes #J-18808-Ljbffr

Senior Data Architect Pay of up to £79,501, plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance. Do you want to help shape the future of data architecture within one of the UK's largest and most complex digital organisations? If so, we'd love to hear from you. We are seeking experienced Senior Data Architects to join DWP Digital, working within a large-scale, complex digital environment to deliver data-driven products and services that support critical business outcomes. You will play a key role in major strategic initiatives ensuring data architecture solutions are innovative, secure and scalable. Working closely with architects, engineers, delivery teams and business stakeholders, you will contribute to the design and delivery of enterprise-wide solutions. You'll develop architecture options, provide expert recommendations and influence technology decisions ensuring solutions align with business priorities, architectural standards and long-term organisational objectives. This is an opportunity to make a significant impact across some of DWP Digital's most important programmes, providing architectural leadership and helping to establish the strategic data capabilities that underpin future digital services. DWP. Digital with Purpose. What skills, knowledge and experience will you need? Expertise in data architecture design, modelling, patterns, tools and standards. Strong knowledge of data modelling, Master Data Management (MDM), metadata management and data governance. Knowledge of event-driven architectures, including pub-sub and data streaming patterns. Proven track record of presenting and influencing architecture decisions through technical governance and assurance forums. Knowledge of cloud hosting, containerisation and networking, including AWS, Azure and GCP. Application of Agile, DevOps, Continuous Integration (CI) and Continuous Delivery (CD) practices. Proven track record of supporting technology projects, programmes and portfolios, shaping architectural direction and technology choices. You and your role As a Senior Data Architect you will shape data architecture across multiple products, services and programmes helping to solve complex data challenges and define solutions that are secure, scalable and aligned with organisational goals. You'll lead the design and development of data models, metadata frameworks and other key data architecture artefacts ensuring data is structured, managed and governed effectively. Your work will support informed decision making and enable the consistent use and reuse of data across the organisation. You'll provide technical leadership and guidance to Data Architects and multidisciplinary teams helping to translate business requirements into effective data architecture solutions. You'll review designs, provide architectural assurance and promote adherence to agreed standards, principles and best practices. A key part of your role will be overseeing the development and maintenance of data dictionaries, metadata repositories and other governance assets helping to improve data quality, consistency, accessibility and understanding across the organisation. Working closely with Technical Architects, Engineers and other stakeholders, you'll ensure systems and services are designed in line with our data architecture standards. You'll champion good practice, drive consistency across teams and support the successful delivery of business and technology outcomes. Details. Wages. Perks. Location: You'll join us in one of our brilliant digital hubs in your choice of Birmingham, Blackpool, Leeds, Manchester, Newcastle and Sheffield. Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub. Pay: We offer competitive pay of up to £68,205. You'll get a salary of £57,946 plus a Government Digital and Data Allowance of up to £11,296, subject to our assessment of capability at interview. Pension : You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth up to £16,786 per year. Holidays: A generous leave package starting at 25 days rising to 30 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Flexible working including flexible hours and flex-friendly policies Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Sports and social activities Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. There'll be full instructions when you click through. Interview: a single stage interview online. CLICK APPLY for more information and to start your application. TPBN1_UKTJ

Senior Full Stack Engineer wanted for an EdTech company building a tutoring platform.Responsibilities include building features end-to-end, designing APIs, integrating streaming, and working with AI/ML.

Role Title: Software Engineer - Strategic Engineering, Cyber Security Location: Sheffield (3 days onsite mandatory) Start Date: 9-Nov-26 End Date: 22-Sep-27 Rate: £402 Role purpose: We're looking for a GCB5 Software Engineer to join the Cyber Security Strategic Engineering team. You'll build and run software solutions that underpin our cyber big data platform and the services that enable our data engineering teams. You'll also contribute to engineering solutions that support security governance and controls. Early in the role, you'll help manage and improve demand for APIs into our cyber data lake (via Kong) and deliver automation across our DevOps integration with change/request processes and systems. Longer term, you'll contribute to core platform services and engineering initiatives across the cyber domain. Key responsibilities: Software engineering & delivery: Design, build, test, and maintain backend services, APIs, and automation used by cyber engineering and data teams. Apply good engineering practices: design patterns, SOLID principles, pragmatic architecture, and strong code quality. Contribute to development, we have a lot of Go and Python (previous experience helpful but not required; willingness to learn is essential). Write clear technical documentation and support knowledge sharing across the team.Platform, cloud & infrastructure as code: Build and operate cloud-based solutions on AWS or Azure, understanding core services and how to use them securely and efficiently. Use Terraform to provision and maintain infrastructure, including networking components and access controls. Work with cloud networking concepts (e.g., VPC/VNet, subnets, routing, security groups/NSGs, private connectivity, DNS). DevOps & operational excellence: Build and maintain CI/CD pipelines using "pipeline as code" approaches, improving reliability, repeatability, and auditability. Configure and operate build/deployment agents/runners and associated tooling. Implement secure secrets handling in pipelines (e.g., vault/managed secrets, rotation concepts, avoiding secret leakage). Support production operations where needed: monitoring, alerting, troubleshooting, and continuous improvement.Initial focus / day-to-day (first phase): Manage and optimise API demand and onboarding for the cyber data lake through Kong (API gateway), including access patterns, standards, and operational support. Automate workflows across DevOps tooling and change/request processes, reducing manual effort and improving control and traceability. Required skills and experience: Strong programming experience in at least one major language (e.g., Java, C#/.NET, Python), with the ability to pick up new languages quickly. Hands-on experience applying common engineering best practices (design patterns, SOLID, refactoring, code reviews). Working knowledge of modern testing approaches such as TDD/BDD, and building testable services. Cloud experience in AWS or Azure, with a practical understanding of core offerings and how to use them in production. Infrastructure as Code experience with Terraform (modules, state, plan/apply workflow, environment separation). Strong DevOps experience: CI/CD, pipeline-as-code, agents/runners, artefact management, and operational hygiene. Understanding of secrets management concepts in pipelines and deployments. Comfortable working in a security-focused environment with a strong appreciation for control, auditability, and risk management. Desirable (nice to have): Experience with API gateways (especially Kong), API lifecycle management, and API security patterns (authN/authZ, rate limiting, mTLS, OAuth2/JWT concepts). Experience building platforms/services that support data engineering teams (e.g., ingestion services, metadata, access patterns, developer enablement). Familiarity with big data ecosystems - particularly data bricks/spark (e.g., data lakes, distributed compute, streaming) and observability practices. Prior exposure to cyber/security engineering domains (useful, not required). Lots of cloud engineering experience Serious ownership of Devops Pipelines If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website

Private Cloud Principal Engineer - Cloud & Platform EngineeringLocation: Sheffield (3 days onsite per week mandatory) Duration: Initial 3-6 Month Contract Rate: Up to £700 per day Engagement: PAYE via Umbrella Only Overview An exciting opportunity has arisen for an experienced Principal Engineer to join a large-scale enterprise cloud engineering function. This role will provide technical leadership across critical platform engineering initiatives, focusing on private cloud technologies, Kubernetes, container platforms, event streaming and microservices enablement.Working closely with Product Owners, Architects, Infrastructure Engineers and Engineering teams, you will play a key role in shaping platform strategy, defining engineering standards and driving the delivery of secure, resilient and scalable cloud services. This is an excellent opportunity for a senior engineering professional who thrives on solving complex technical challenges and influencing technical direction across enterprise environments. Key Responsibilities Provide technical leadership across cloud and platform engineering initiatives Define and drive engineering standards, best practices, reference architectures and platform guardrails Act as a senior technical authority, reviewing designs and ensuring solutions are secure, scalable, supportable and cost-effective Lead the design and evolution of platform capabilities spanning compute, storage, networking, orchestration and platform services Work closely with Product Owners and Architects to translate strategic objectives into practical engineering solutions Drive improvements in reliability, scalability, performance and operational excellence across multiple environments Champion automation-first approaches through Infrastructure as Code, CI/CD and platform engineering best practices Influence platform roadmaps and engineering strategy Kubernetes & Container Technologies Lead architectural decisions relating to Kubernetes and container platforms Define standards for cluster architecture, networking, multi-tenancy, securityand workload onboarding Establish repeatable deployment patterns using GitOps, automation and configuration management Drive platform resilience,observability and operational maturity Support platform upgrades, governance and lifecycle management Event Streaming & Microservices Provide leadership across Kafka and event-driven technology platforms Establish standards for event streaming, resiliency, monitoring and governance Support engineering teams in adopting event-driven architectures and microservices patterns Drive best practice around API design, domain boundaries and service resilience Improve developer productivity through self-service capabilities, reusable templates and engineering standards Engineering Leadership Mentor engineering teams and promote engineering excellence Build strong relationships across Product, Architecture, Security and Engineering functions Drive alignment between technical strategy and delivery objectives Produce clear technical designs and influence decision-making forums Support operational excellence, security-by-design and risk management practices Essential Skills & Experience Proven experience as a Principal Engineer, Lead Engineer, Senior Staff Engineer or equivalent Strong background in Cloud, Infrastructure or Platform Engineering Deep expertise in Kubernetes and container technologies Experience with Kafka and event streaming platforms Strong knowledge of private cloud technologies and enterprise virtualisation platforms such as VMware Excellent understanding of distributed systems, networking, scalability and performance engineering Experience with Infrastructure as Code and CI/CD toolsets Strong understanding of security,governance and operational readiness Experience operating within large-scale enterprise environments Desirable Skills Service Mesh technologies API Gateway solutions Secrets Management platforms Policy as Code Observability and monitoring platforms SRE and operational excellence practices Platform-as-a-Product environments Developer self-service capabilities and service catalogues Multi-region architecture and resilience design What You'll Bring Strong technical leadership and decision-making skills Excellent stakeholder engagement and communication abilities A passion for engineering excellence and platform modernisation The ability to influence technical direction across complex environments A pragmatic approach to solving large-scale engineering challenges What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. 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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

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