51 to 75 of 2,868 DevOps Jobs in the UK

development across all phases: Discovery, Alpha, Beta, and Live Ensure compliance with accessibility (WCAG 2.1) and performance standards Implement CI/CD pipelines and DevOps best practices Collaborate with Product Managers, Designers, and User Researchers in agile teams Integrate with GOV.UK platforms (Pay, Notify, One Login) Conduct code reviews, enforce ...

Solid understanding of Git and collaborative development workflows. Knowledge of Docker and containerised application deployment. Familiarity with CI/CD pipelines, automated testing, and DevOps practices. Understanding of software engineering fundamentals, algorithms, and data structures. Exposure to Kubernetes or other container orchestration platforms. Awareness of web security principles and secure ...

FastAPI REST APIs Data Technologies SQL NoSQL Databases Data Modelling ETL Development Data Pipeline Engineering Vector Databases such as Pinecone, Weaviate or ChromaDB Cloud & DevOps Experience with at least one major cloud platform: AWS (preferred) Bedrock SageMaker Lambda ECS/EKS S3 Or experience within: Microsoft Azure Google Cloud Platform ...

FastAPI REST APIs Data Technologies SQL NoSQL Databases Data Modelling ETL Development Data Pipeline Engineering Vector Databases such as Pinecone, Weaviate or ChromaDB Cloud & DevOps Experience with at least one major cloud platform: AWS (preferred) Bedrock SageMaker Lambda ECS/EKS S3 Or experience within: Microsoft Azure Google Cloud Platform ...

. Experience with cloud technologies, cloud native application and infrastructure as code (e.g., AWS/Azure/CGP, Kubernetes, Helm, Terraform). Knowledge of DevOps culture and practices. Experience and Skills (Nice to have) Previous experience building a user‐facing GenAI/LLM software application Previous experience with vectors ...

Join an award-winning B2B consultancy at the forefront of enterprise AI, building and owning the cloud-native platform infrastructure that powers production-grade conversational and generative AI products at scale. The role This is ...

/CD tools (GitLab, Jenkins) IaC (Terraform, Ansible) Containers (Docker, Kubernetes) Cloud (AWS, Azure, GCP) Observability (Prometheus, Grafana, ELK) Git/source control & DevOps practices If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website. ...

Project teams employ agile practices such as Scrum, Kanban and SAFe to manage their work. Projects typically make extensive use of automated testing and DevOps practices, with customers increasingly deploying production code into containerised public and private cloud systems. You will: Design, develop and engineer software and products for customers ...

Docker) and continuous integration/deployment (CI/CD) practices. Experience with database systems (relational and NoSQL) and working with financial data. Familiarity with DevOps practices and tools to streamline the development life cycle, such as infrastructure-as-code (eg, Terraform or CloudFormation). Ability to troubleshoot and resolve issues ...

scalability, efficiency, and stability.Reactive Programming: Use reactive programming frameworks like Quarkus reactive to build non-blocking, asynchronous applications.Collaborative Development: Work with product managers, DevOps, QA, and other engineering teams to align on requirements, plan sprints, and deploy reliable microservices in production environments.Code Quality and Review: Write clean, efficient code following ...

cloud security best practices. Background in medical imaging, life sciences, or other regulated software environments (e.g. ISO 13485, IEC 62304). Familiarity with DevOps pipelines, observability, and automated deployment at scale. Demonstrated ability to mentor junior engineers, lead code reviews, and shape architectural decisions. Knowledge of DICOM/DICOMWeb standards ...

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 ...

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 ...