26 to 50 of 1,774 DevOps Jobs in the UK

development skills in Java, Python, or Go Solid understanding of software engineering principles and data structures Experience with Docker and containerised environments Exposure to DevOps practices, CI/CD, and automated testing Excellent communication and collaboration skills Ability to work in a fast-paced and evolving technical environments Preferred Qualifications ...

Azure Experience building and consuming REST APIs and microservices Strong understanding of cloud architecture and Azure services Experience with CI/CD pipelines and DevOps practices Familiarity with Git and modern software engineering best practices Experience working within NHS, Healthcare, Government or wider Public Sector environments Desirable Experience Azure Functions ...

Azure Experience building and consuming REST APIs and microservices Strong understanding of cloud architecture and Azure services Experience with CI/CD pipelines and DevOps practices Familiarity with Git and modern software engineering best practices Experience working within NHS, Healthcare, Government or wider Public Sector environments Desirable Experience Azure Functions ...

Experience with Kubernetes,?Docker, or other containerization and orchestration tools. Knowledge of data visualization tools and techniques for operational monitoring and analysis. Familiarity with DevOps practices, including infrastructure-as-code (e.g., Terraform, CloudFormation). What We Offer The opportunity to make a difference building cutting edge technology to support ...

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 ...

microservices architecture and distributed systems. Experience with relational and/or NoSQL databases. Exposure to payment gateways, digital wallets, or loyalty platforms. Understanding of DevOps practices and infrastructure-as-code tools. Experience with performance optimisation and monitoring tools. Background in mentoring, technical leadership, or supporting team capability growth. Familiarity with ...

Windows systems and good understanding of distributed computing environments. \n Experience with CI-CD tooling such as Jenkins, Github, Bitbucket, ArgoCD, Artifactory, Azure DevOps in a large-scale environment \n Experience with observability tooling such as Grafana, Prometheus, Splunk, Datadog, New Relic, DynaTrace, Sentry, etc. in a large-scale environment ...

computer vision, or recommendation systems\ NFamiliarity with MLOps practices and model lifecycle management\ NKnowledge of event-driven architectures (Kafka or similar)\ NExperience with DevOps tooling and infrastructure as code\ NExposure to Generative AI and large language models\ N\nBenefits\nWhat We Offer:\ N\nCompetitive Salary\ NBonus Scheme\nPrivate Healthcare Insurance ...

BigQuery). In-depth knowledge of cloud platforms and services, particularly Google Cloud Platform (or equivalent AWS/Azure services), including serverless architectures. Excellent DevOps and infrastructure skills, including Docker, Kubernetes, Linux, Terraform, CI/CD pipelines, and GitHub Actions. Strong understanding and practical application of secure software development principles ...

systems, relational databases (MySQL), scalability, system reliability, observability, infrastructure as code, serverless deployments, containerisation (Docker), AWS services (Lambda, SQS, EC2, S3), IAM permissions (AWS), DevOps security, CI/CD, CI/CD tools (GitHub Workflows), Git, Python development, Python testing frameworks (pytest, unittest), JavaScript knowledge (Node.js), RabbitMQ, FFMPEG, Linux systems ...

analytics, machine learning and mission applications. \n \n 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. \n Typical engagements include: \n \n \n Engineering large-scale data ingestion and processing pipelines ...

intelligence data platforms, analytics systems and operational applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data engineers, data scientists, DevOps engineers and mission analysts to deliver secure, production-grade software systems. Typical engagements include: Developing Java-based microservices and backend platforms Building API-driven services ...

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 ...

intelligence data platforms, analytics systems and operational applications.\ NThe successful candidate will work within multi-disciplinary agile teams, collaborating with data engineers, data scientists, DevOps engineers and mission analysts to deliver secure, production-grade software systems.\ NTypical engagements include:\ N\nDeveloping Java-based microservices and backend platforms\ NBuilding API-driven ...

downstream analytics, machine learning and mission applications.\ N \nThe 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.\ NTypical engagements include:\ N \n\nEngineering large-scale data ingestion and processing pipelines\ NDesigning data ...

supporting downstream analytics, machine learning and mission applications.\ NThe 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.\ NTypical engagements include:\ N\nEngineering large-scale data ingestion and processing pipelines\ NDesigning data lakesand ...

Experience of organisations which prioritise strategic, high impact applications of data and AI. Exposure to adjacent domains like web application development, data engineering, or DevOps which helps in integrating AI solutions smoothly into broader systems. Qualifications Essential Degree in a relevant discipline (e.g. Computer Science, Machine Learning, Artificial Intelligence, Data ...

Role Details: Contract: 6–12 months Work Model: Hybrid Location: London (3 days onsite per week) Required Skills Strong hands-on experience with Apache Kafka Proficiency in Python Experience with Terraform for Infrastructure as Code ...

Global DevOps Lead Type: Permanent Location: Remote (option for hybrid working in London) Start: ASAP We're looking for a strategic technology leader to drive DevOps transformation across a large, enterprise-scale technology environment, leading global teams and embedding best practices across engineering and operations. This is a high-impact … leadership role where you'll define the DevOps operating model, champion automation, and improve software delivery, reliability, and cloud operations at scale. The Role As the Global DevOps Lead, you'll be responsible for establishing and leading a global DevOps practice, working closely with engineering, cloud, and operations teams ...

Agile delivery environments. Experience with Azure, AWS, GCP, private cloud, or virtualised platforms. Experience with CI/CD pipelines using technologies such as Azure DevOps, GitHub Actions, GitLab, Jenkins, or equivalent. Experience with containerisation and orchestration technologies such as Docker and Kubernetes. Infrastructure as Code experience using Terraform, ARM, Bicep ...

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). ...

/or AWS. Strong understanding of Infrastructure as Code practices, preferably using Terraform. Familiarity with CI/CD tooling and delivery pipelines, including Azure DevOps, GitHub Actions, or Jenkins. Knowledge of containerisation and orchestration technologies, with Docker and Kubernetes experience beneficial. Experience with automation and scripting using PowerShell, Bash, Python ...

technical stakeholders Desirable: Commercial experience with Java and/or C# Experience working with Microsoft Azure Knowledge of Docker, Kubernetes and Azure DevOps Experience using Git for source control Front-end development experience, ideally with React Understanding of Agile software development methodologies Experience working with medical imaging technologies or DICOM ...

React/Node/Next, Spring/Spring Boot, .NET/ASP.NET Cloud platforms: AWS, GCP, Azure CI/CD:Jenkins, GitHub Actions, Azure DevOps IaC: Terraform, CloudFormation, Azure Bicep Pragmatic and safe usage of AI through the SDLC (e.g. using MCP to combine tools in interesting and effective ways ...