1 to 25 of 183 Containerisation Jobs in the Thames Valley

and a proactive approach to technical challenges Strong communication and collaboration skills, comfortable working in cross-functional teams Desirable: Exposure to cloud platforms (AWS, Azure, or GCP) Experience with containerisation (Docker, Kubernetes) Familiarity with CI/CD tools and automation pipelines Understanding of infrastructure-as-code tools (Terraform, Ansible, etc.) If you have a background in the Government/Public More ❯

.NET . Strong understanding of microservices architecture and cloud-based systems . Solid knowledge of database design (relational and/or NoSQL). Hands-on experience with Docker for containerization; familiarity with Kubernetes (or working closely with DevOps teams for orchestration). Proficiency with Git for version control and JIRA for agile backlog management. Experience in CI/CD tools More ❯

Pulumi. Hands-on experience with UNIX/Linux systems and modern DevOps toolchains. Working knowledge of GitOps (e.g., ArgoCD, FluxCD). Familiarity with both SQL and NoSQL databases. Strong containerization background (Kubernetes, Docker) and associated tooling (Helm, Kustomize). Practical understanding of cloud security, networking protocols, and secure deployments. Experienced in observability stacks—logging (e.g., ELK), monitoring (e.g., Prometheus), and More ❯

HTML5, CSS Backend: Node.js, Express.js (nice-to-have: C#/.NET, Python/Django) APIs & Data: REST/JSON, SQL, PostgreSQL/Postgres , databases DevOps: CI/CD, Docker , containerisation, Ubuntu/Linux, AWS , Serverless, CDK/CDKTF , Ansible Quality & Analytics: Postman API, testing frameworks, web analytics Patterns: Secure SDLC, OWASP Top 10 , TDD , Git-based workflows Must-have experience More ❯

engineering culture: mentor others, contribute ideas, and lead by example in a collaborative, low-ego environment Essential Skills & Experience Strong experience with Java (Spring Boot) and React Familiarity with containerisation and orchestration (Docker, Kubernetes) Understanding of microservice architecture and domain-driven design Experience with SQL and NoSQL databases (PostgreSQL, MongoDB) Knowledge of cloud platforms , ideally AWS and/or Azure More ❯

environments, including development, testing, staging, and production setups. Hands-on experience with cloud services (AWS, Azure, GCP) and infrastructure automation tools (e.g., Terraform, Ansible, Puppet, Chef). Experience with containerisation (e.g., Docker, Kubernetes) and microservices architectures is a plus. Skills: Strong knowledge of IT infrastructure, virtualisation technologies, and network management. Proficiency in scripting and automation (e.g., Bash, Python, PowerShell). More ❯

z2bz0 heads) in global banks. Experience with Microsoft-based legacy systems (.NET, C#, SQL, Azure, on-prem/cloud) and emerging technologies including Linux, Java, microservices, and containerisation (Docker, Kubernetes, Helm, Camunda). Proficiency in CI/CD pipelines (Jenkins), version control (GitHub/GitLab/BitBucket), backend/frontend frameworks (Spring Boot, Angular, React), cloud and data platforms (Azure More ❯

coding practices Testing & BDD Unit Testing Frameworks: Experience with Cypress, Cucumber, Behave, Selenium, or similar tools Domain-Specific Languages: Knowledge of BDD approaches (e.g., Cucumber, Gherkin) for test automation Containerisation & Microservices Container Technologies: Practical understanding of Docker or equivalent solutions Microservice Patterns: Experience architecting microservice-based systems with built-in observability and security Cloud Services & Environments Cloud Providers: Demonstrable experience More ❯

high-volume or high-performance data systems Exposure to real-time data processing, IoT, or machine learning pipelines. Knowledge of modern data mesh or data fabric principles. Experience with containerisation and orchestration (Docker, Kubernetes). Familiarity with infrastructure as code (Terraform, ARM templates, CloudFormation). Knowledge of government or public sector digital standards and GDS practices. Experience in agile and More ❯

CI/CD pipelines for application build, test, and deployment. Manage and optimize cloud infrastructure (AWS/Azure/GCP) with a focus on scalability, security, and reliability. Support containerization and orchestration using Docker and Kubernetes. Implement Infrastructure as Code (IaC) using Terraform, CloudFormation, or similar tools. Monitor, troubleshoot, and improve system performance and reliability. Collaborate with development and operations More ❯

e.g., Git). Excellent problem-solving and communication skills. Desirable: Experience with vendor platforms such as Murex , Calypso , or Kondor+ . Exposure to cloud technologies (e.g., AWS , Azure ) and containerisation (e.g., Docker , Kubernetes ). Understanding of regulatory frameworks (e.g., MiFID II , EMIR ). Education: Bachelor’s degree in Computer Science, Engineering, Finance, or a related field. Relevant certifications (e.g., CFA More ❯

scalable software systems. • •Familiarity with distributed system patterns and architectural trade-offs. • •Experience with performance tuning and troubleshooting in complex environments. • Tooling & Infrastructure: •Experience with CI/CD pipelines, containerization (Docker/Kubernetes), and version control systems (e.g., Git). • Soft Skills; • Communication: •Ability to clearly articulate complex technical topics to non-technical stakeholders. •Strong documentation habits and a commitment More ❯

Experience of REST and/or GraphQL APIs Knowledge of the core AWS services: i.e. EC2/ECS, RDS, S3 Experience using DataDog or similar observability tools Knowledge of containerisation: Docker, Kubernetes, AWS Fargate etc Any experience of front-end or fullstack development using TypeScript & React Experience building software for financial services and/or investment management organisations We don More ❯

ETL/ELT pipelines or data processing services. Familiarity with SQL and NoSQL databases. Understanding of data privacy and security concepts. Tooling & Infrastructure: Experience with CI/CD pipelines, containerization (Docker/Kubernetes), and version control systems (e.g., Git). Ways of Working: Comfortable working in Agile/Scrum environments, participating in sprint planning, stand-ups, and retrospectives. Experience using More ❯

ETL/ELT pipelines or data processing services. Familiarity with SQL and NoSQL databases. Understanding of data privacy and security concepts. Tooling & Infrastructure: Experience with CI/CD pipelines, containerization (Docker/Kubernetes), and version control systems (e.g., Git). Ways of Working: Comfortable working in Agile/Scrum environments, participating in sprint planning, stand-ups, and retrospectives. Experience using More ❯

in at least one cloud platform and its related managed services. Knowledge of both relational SQL and NoSQL database systems. Skills in UX design (e.g., Figma). Knowledge of containerization using Kubernetes and Docker. Experience working with streaming technologies (Kafka). Proven experience developing scalable architectures using both containerized and serverless approaches (e.g., Oracle Functions or AWS Lambda). Familiarity More ❯

experience (VPC, IAM, EC2, S3, Route53) Solid background in Infrastructure as Code (Terraform or Ansible) Experience building and maintaining CI/CD pipelines (Jenkins, GitLab CI, CircleCI) Knowledge of containerisation with Docker and Kubernetes Scripting in Python, Bash, or Go Monitoring and observability using Prometheus, Splunk, or similar Familiarity with Kafka, Akamai or Fastly, and databases like MySQL or MongoDB More ❯

AI/codec workflows, including ML inference and neural compression pipelines. Requirements: Hands-on experience with CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI, etc.). Proficiency in containerisation and orchestration (Docker, Kubernetes). Experience with cloud GPU infrastructure (AWS, Azure, GCP) and IaC (Terraform, Ansible). Familiarity with GPU workflows (CUDA, SYCL, Vulkan, OpenCL) or HPC performance optimisation. More ❯

Mindset: Startup-ready, pragmatic, problem-solver with a "get things done" attitude. Preferred BackgroundExposure to property, fintech, or marketplace platforms. Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes). Understanding of modern security practices and performance optimization. Compensation & Benefits: Competitive salary with the potential for equity options based on performance, recognising exceptional contributions to our More ❯

imaging, etc.). Essential Skills and Experience Proven experience as an MLOps Engineer, Platform Engineer, or DevOps Engineer supporting ML or data science teams. Strong hands-on experience with containerization (Docker) and orchestration (Kubernetes) . Expertise in Terraform , Infrastructure as Code (IaC), and cloud provisioning (OCI, AWS, GCP, or Azure). Solid understanding of CI/CD pipelines and automated More ❯

imaging, etc.). Essential Skills and Experience Proven experience as an MLOps Engineer, Platform Engineer, or DevOps Engineer supporting ML or data science teams. Strong hands-on experience with containerization (Docker) and orchestration (Kubernetes) . Expertise in Terraform , Infrastructure as Code (IaC), and cloud provisioning (OCI, AWS, GCP, or Azure). Solid understanding of CI/CD pipelines and automated More ❯

of data science models or data engineering pipelines from concept to production. Strong Python skills plus SQL and data visualisation experience. Hands-on with cloud platforms (AWS preferred) and containerisation (Docker/Kubernetes). Experience working with Defence, Government, or National Security data environments. Security Clearance: Active SC or DV (must be current). Nice-to-haves 🌳 Military background (RAF More ❯

ability to take initiative and work independently without micromanagement. • Excellent communication and collaboration skills, capable of working with cross-functional teams. Desirable skills/knowledge/experience: • Experience with containerization technologies e.g., Docker, and orchestration platforms e.g., Kubernetes. • Familiarity with other cloud platforms (AWS, GCP). • Knowledge of configuration management tools e.g., Snyk, SonarQube, or Qualys • Understanding of compliance frameworks More ❯

architecture, and development methodologies. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Expertise in architectural design, data pipelines, cloud platforms, and API development. Knowledge of microservices and containerisation (Docker, Kubernetes). Experience with security best practices and compliance standards. Familiarity with agile methodologies and agile delivery. Experience with SOLID principles and application architecture design. Proficiency in C# (.NET More ❯

architecture, and development methodologies. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Expertise in architectural design, data pipelines, cloud platforms, and API development. Knowledge of microservices and containerisation (Docker, Kubernetes). Experience with security best practices and compliance standards. Familiarity with agile methodologies and agile delivery. Experience with SOLID principles and application architecture design. Proficiency in C# (.NET More ❯