7 of 7 Docker Jobs in East Anglia

system design High throughput and low-latency data streaming Good understanding of Java/Python/Node.js for integration logic. Familiarity with containerization & orchestration (Docker, Kubernetes). Working knowledge of CI/CD, DevOps, IaC. Architectural thinking with strong problem-solving abilities. Ability to lead teams, mentor developers, and influence ...

Optional: R, SQL Data Platforms Relational & NoSQL databases Big data frameworks (Spark, Hive, Databricks) MLOps & Deployment Model lifecycle management CI/CD pipelines Containerization (Docker, Kubernetes desirable) Model packaging and REST APIs Cloud & Tools (Any combination) AWS/Azure/GCP analytics and ML services MLflow, Azure ML, SageMaker, Vertex ...

Engage directly with stakeholders to understand and shape requirements Utilise modern AI/LLM development tools to enhance productivity Technical Environment TypeScript, Node.js, React Docker, Kubernetes GitHub & GitHub Actions Grafana, Prometheus, SonarQube Requirements Minimum 8 years experience in software development At least 3 years working with TypeScript , including Node.js ...

maintainable, and scalable. Required Skills Programming: Advanced proficiency in Python. ML Engineering & MLOps: Hands-on experience with widely used ML tooling (e.g., MLflow, Airflow, Docker, Kubernetes). CI/CD & DevOps: Familiarity with CI/CD workflows and automation tools (e.g., GitLab, Jenkins) for streamlined deployments. Data Engineering Fundamentals: Knowledge ...

data modeling, and performance tuning Hands on with cloud platforms (Azure/AWS/GCP) and data services Understanding of DevOps tools: Git, Jenkins, Docker, Kubernetes (optional) Familiar with messaging and streaming: Kafka, Event Hub, Kinesis Experience with monitoring tools (e.g., Grafana, Prometheus, CloudWatch) Soft Skills Strong analytical and problem … data modeling, and performance tuning Hands on with cloud platforms (Azure/AWS/GCP) and data services Understanding of DevOps tools: Git, Jenkins, Docker, Kubernetes (optional) Familiar with messaging and streaming: Kafka, Event Hub, Kinesis Experience with monitoring tools (e.g., Grafana, Prometheus, CloudWatch) Soft Skills Strong analytical and problem ...

seamlessly across business functions. Lead by example in Azure DevSecOps: create and manage pipelines (YAML), infrastructure-as-code (Bicep, Terraform), and container orchestration (AKS, Docker). Embed engineering best practice: implement CI/CD, code quality gates, automated testing, and observability from build to production. Guide platform evolution: re-engineer … Azure DevOps (Repos, Pipelines, Boards, Artifacts, Test Plans), CI/CD automation, gated releases, and environment governance Infrastructure-as-Code (Bicep, ARM, Terraform) Containerisation (Docker, AKS) and serverless (Azure Functions) Monitoring and observability (Application Insights, Log Analytics) Secrets management and vulnerability scanning (Key Vault, SonarQube, OWASP) Microservices and event-driven ...

cost optimization on AWS. Experience with CI/CD (e.g., CodePipeline/GitHub Actions/Bitbucket Pipelines), IaC (CloudFormation/Terraform), and containerization (Docker). Architectural thinking: designs for scale, reliability, cost, and evolvability. Delivery excellence: breaks down complex work, sets milestones, manages risks, and delivers on time. Communication & influence … CloudWatch, Lambda, Step Functions, Athena, Redshift (nice), EMR (nice) DevOps: Git, CI/CD (CodePipeline/GitHub Actions), Terraform/CloudFormation, Docker Data Quality/Observability: Great Expectations/Deequ (nice), OpenLineage (nice) Desirable skills/knowledge/experience: Domain experience in BFSI (risk, pricing, regulatory reporting, underwriting, fraud, payments ...