76 to 100 of 2,910 DevOps Jobs in the UK

distributed systems, data streaming, event-based architectures etc) Software development experience with one or more languages (e.g. Python, Java, C#) Solid software engineering and DevOps skills as well as the complete SDLC applied to data, e.g. design patterns, automation, testing, contract definition, clean code, CI/CD, path to production ...

Docker containers with clean, minimal builds. Contribute to IaC (Terraform/CloudFormation) and CI/CD pipelines (GitHub Actions/Argo CD) alongside the DevOps team. Support cloud operations with sensible defaults, cost awareness, and environment promotion across dev/staging/prod. Required Skills & Experience SC Clearance ...

database design and experience with relational and/or NoSQL databases. Competent in using Docker for containerisation. Familiarity with Kubernetes, relying on the DevOps Engineer for orchestration. Proficiency in using Git for version control and JIRA for backlog management. Experience with CI/CD pipelines and tools. Role Band & Level ...

Alongside this, you'll have practical experience of integrating testing into CI/CD pipelines using tools such as Jenkins, GitHub Actions or Azure DevOps, with a solid understanding of version control through Git.In addition to automation, there is a real emphasis on performance testing within this role. ...

supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production-grade data solutions. Typical engagements include: Engineering large-scale data ingestion and processing pipelines Designing data lakes ...

supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production-grade data solutions. Typical engagements include: Engineering large-scale data ingestion and processing pipelines Designing data lakes ...

supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production-grade data solutions. Typical engagements include: Engineering large-scale data ingestion and processing pipelines Designing data lakes ...

supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production-grade data solutions. Typical engagements include: Engineering large-scale data ingestion and processing pipelines Designing data lakes ...

supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production-grade data solutions. Typical engagements include: Engineering large-scale data ingestion and processing pipelines Designing data lakes ...

supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production-grade data solutions. Typical engagements include: Engineering large-scale data ingestion and processing pipelines Designing data lakes ...

supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production-grade data solutions. Typical engagements include: Engineering large-scale data ingestion and processing pipelines Designing data lakes ...

supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production-grade data solutions. Typical engagements include: Engineering large-scale data ingestion and processing pipelines Designing data lakes ...

supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production-grade data solutions. Typical engagements include: Engineering large-scale data ingestion and processing pipelines Designing data lakes ...

supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production-grade data solutions. Typical engagements include: Engineering large-scale data ingestion and processing pipelines Designing data lakes ...

supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production-grade data solutions. Typical engagements include: Engineering large-scale data ingestion and processing pipelines Designing data lakes ...

supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production-grade data solutions. Typical engagements include: Engineering large-scale data ingestion and processing pipelines Designing data lakes ...

supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production-grade data solutions. Typical engagements include: Engineering large-scale data ingestion and processing pipelines Designing data lakes ...

supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production-grade data solutions. Typical engagements include: Engineering large-scale data ingestion and processing pipelines Designing data lakes ...

Senior DevOps Engineer - Leeds Senior DevOps Engineer with experience in Azure DevOps, CI/CD pipelines, cloud infrastructure and automation is required by a global consultancy, with offices across the UK. This is a brand-new role, in which you can make a real difference by working on large-scale … ownership across delivery teams. Experience required: * Strong experience designing, implementing and governing CI/CD pipelines, repository strategies and automation at enterprise scale * Azure DevOps * Working with Application development and data platforms, with ideally some of the following 'Microsoft Power Platform (low-code), Dynamics 365, Power BI and Microsoft Fabric ...

Senior DevOps Engineer - Birmingham Senior DevOps Engineer with experience in Azure DevOps, CI/CD pipelines, cloud infrastructure and automation is required by a global consultancy, with offices across the UK. This is a brand-new role, in which you can make a real difference by working on large-scale … ownership across delivery teams. Experience required: * Strong experience designing, implementing and governing CI/CD pipelines, repository strategies and automation at enterprise scale * Azure DevOps * Working with Application development and data platforms, with ideally some of the following 'Microsoft Power Platform (low-code), Dynamics 365, Power BI and Microsoft Fabric ...

into production environments via RESTful APIs. Database Management: Design and optimize schemas for both SQL (Oracle, PostgreSQL) and NoSQL, (MongoDB), Snowflake databases. Cloud & DevOps: Deploy applications using AWS or Azure services. Build and maintain CI/CD pipelines using Jenkins, Docker, and Kubernetes (OpenShift). ...

scalable backend systems and APIs Understanding of Agile software development practices Strong problem-solving and communication skills Desirable Skills Experience with Golang Exposure to DevOps or platform engineering environments Knowledge of infrastructure automation and CI/CD tooling Experience working within secure or regulated environments Benefits Competitive salary ...

large-scale batch processing. Data engineering at scale in government or similarly complex domains, including performance tuning and data quality management. CI/CD & DevOps: pipelines and IaC (e.g., Terraform), automated testing, and release governance. Version control & collaboration: Git/GitLab, code review, branching strategies, and trunk/PR workflows. ...

Good grasp of modern data engineering (distributed systems, data streaming, event-based architectures etc) and how to apply them Experience with software engineering and DevOps best practices as well as the complete SDLC applied to data, e.g. automation, testing, contract definition, clean code, CI/CD, path to production Worked ...

testing to automate quality assurance; ensure that new features have proper test coverage and meet quality standards before deployment. Collaborate with DevOps engineers to set up and maintain CI/CD pipelines for building, testing, and deploying applications and ML models; containerise applications (Docker) and assist in orchestration (Kubernetes ...