Microsoft Cloud Native Engineer in Manchester

About the Job You’re Considering

Our Cloud Native Engineers specialise in agile custom software development and integration at an enterprise scale. Working in close-knit teams, they deliver some of the most innovative solutions using the Microsoft stack, a variety of Open Source technologies, and the latest advancements in AI software engineering to achieve the best possible outcome for our clients. By embedding AI throughout our engineering processes, we enhance performance, efficiency, and the overall value we deliver.

We put a lot of time and effort into the Microsoft community; we invest in doing things right and have plenty to say on the subject. We’re active on social media and for those that want to find out more, take a look at our blogs – written by Microsoft enthusiasts, for everyone: https://medium.com/capgemini-microsoft-team. We also have some exciting public open source projects available in our Github (https://github.com/capgemini) and much more in the pipeline to be released.

Hybrid Working

The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.

Pre-Employment Checks

If you are successfully offered this position, you will go through a series of pre-employment checks, including identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service).

Your Role

• Lead and mentor development teams of software engineers, fostering AI engineering expertise and encouraging the adoption of AI-driven solutions where appropriate.
• Design and document technical Azure Cloud Native solutions that integrate AI and machine learning capabilities, incorporate recommended security practices, and assist with architectural decisions, especially those involving responsible AI adoption.
• Containerise workloads with Docker and orchestrate with Azure Kubernetes Service (AKS).
• Act as a software engineer and subject matter expert on delivery engagements for clients, taking responsibility for the specification, development, testing, and implementation of complex cloud native and AI-enabled applications built on Azure.
• Help shape and implement delivery best practices across projects, such as branching strategy, testing methodology, CI/CD, and pipelines, with a particular focus on integrating AI model development, validation, and deployment workflows.
• Support services before they go live through activities such as system design consulting, developing software platforms and frameworks, automated testing, deployment and release pipelines, capacity planning, and launch reviews.
• Maintain services once live by measuring and monitoring availability, latency, errors, saturation, traffic, and overall system health, including the performance and fairness of deployed AI models. Monitor and optimise applications using Azure Monitor, Application Insights, OpenTelemetry, and Log Analytics.
• Ensure solutions follow secure cloud-native design principles (identity-first, encryption, least privilege, zero trust).
• Scale systems sustainably through mechanisms like automation and evolve systems by championing AI-driven improvements that enhance reliability, operational efficiency, and release velocity.

Your Skills And Experience

• Excellent software engineering practices, including a thorough understanding and application of SOLID principles, Domain Driven Design and software design patterns, Test Driven Development, and cloud design patterns, with an emphasis on integrating AI and machine learning best practices where appropriate.
• Experience developing resilient and scalable APIs (REST, GraphQL, gRPC), including those that serve or integrate AI models, and contributing to integration-led transformations and platforms.
• Proven expertise in end-to-end Azure native solution development and delivery, with a focus on Azure PaaS services, and hands‑on experience incorporating Azure AI services (such as Azure Machine Learning, Cognitive Services, and related tools) into cloud native architectures.
• Strong background in .NET and related technologies (C#, .NET 8+, MVC, Entity Framework, Blazor, SQL Backend, etc.).
• Practical experience using Azure DevOps, including the automation and orchestration of both traditional and AI model development, validation, and deployment workflows.
• Knowledge of Continuous Integration (CI) and Continuous Delivery (CD) practices, ideally using GIT, ARM templates, and Azure DevOps, with an understanding of how these practices support the lifecycle of both software and AI models.
• Experience working in collaborative, agile teams within a commercial environment.
• Excellent client-facing skills: able to engage with both technical and business stakeholders.
• A proactive desire to continually develop your knowledge of emerging technologies, especially in the areas of cloud native engineering and AI/ML advancements.

We are a Disability Confident Employer

Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident Scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who declare they have a disability and meet the minimum essential criteria for the role. Please opt‑in during the application process.

Your Security Clearance

To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements. Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality. Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.

Benefits & Wellbeing

You will be encouraged to have a positive work‑life balance. Our hybrid‑first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day‑to‑day reality for our people. All UK employees are eligible to request flexible working arrangements. You will reimagine what’s possible: creating value for the world’s leading organisations through technology to build a sustainable, more inclusive future. Capgemini offers trained ‘Mental Health Champions’ across each of our business areas and invests in wellbeing apps such as Thrive and Peppy.

Learning & Development

Capgemini’s ‘learning for life’ mindset means you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.

About Capgemini

Capgemini is an AI‑powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end‑to‑end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.

Location

Manchester, England, United Kingdom