1 to 25 of 96 Containerisation Jobs in the East of England

with an emphasis on clean design, shared tooling, and reducing unnecessary complexity. Typical technologies include Python backend Modern JavaScript frameworks on the front end Containerisation with Docker CI pipelines using GitLab or similar Infrastructure as code using Terraform Cloud native platforms such as Azure, AWS, or GCP The team invests ...

frameworks. Cloud Infrastructure: DevOps/AWS/Github/Jira/Confluence/M365 Preferred Skills Experience with cloud platforms (Azure/AWS) and containerization (Docker/Kubernetes). Familiarity with Agile/Scrum methodologies. Strong knowledge of performance optimization and security best practices. Experience with CI/CD pipelines ...

with secure code signing and HSM integration. Familiarity with hardware-oriented test automation (flashing, UART, board resets). Proficient in Jenkins, GitLab CI, and containerization (Docker). It would be great if you had: Knowledge of Kubernetes for scalable test environments. Exposure to cloud platforms (AWS, Azure ...

with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset: You naturally take responsibility for outcomes ...

with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset: You naturally take responsibility for outcomes ...

with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset: You naturally take responsibility for outcomes ...

with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset: You naturally take responsibility for outcomes ...

with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset: You naturally take responsibility for outcomes ...

with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset: You naturally take responsibility for outcomes ...

Leadership & Mentoring: You've led projects and mentored teams, which matches their expectation for technical leadership. Where you might want to strengthen your profile: Containerization & GitOps: If you haven't worked extensively with Docker/Kubernetes or GitOps workflows, brushing up on these would be valuable. AI in DevOps: They ...

Leadership & Mentoring: You've led projects and mentored teams, which matches their expectation for technical leadership. Where you might want to strengthen your profile: Containerization & GitOps: If you haven't worked extensively with Docker/Kubernetes or GitOps workflows, brushing up on these would be valuable. AI in DevOps: They ...

Leadership & Mentoring: You've led projects and mentored teams, which matches their expectation for technical leadership. Where you might want to strengthen your profile: Containerization & GitOps: If you haven't worked extensively with Docker/Kubernetes or GitOps workflows, brushing up on these would be valuable. AI in DevOps: They ...

Leadership & Mentoring: You've led projects and mentored teams, which matches their expectation for technical leadership. Where you might want to strengthen your profile: Containerization & GitOps: If you haven't worked extensively with Docker/Kubernetes or GitOps workflows, brushing up on these would be valuable. AI in DevOps: They ...

Leadership & Mentoring: You've led projects and mentored teams, which matches their expectation for technical leadership. Where you might want to strengthen your profile: Containerization & GitOps: If you haven't worked extensively with Docker/Kubernetes or GitOps workflows, brushing up on these would be valuable. AI in DevOps: They ...

Leadership & Mentoring: You've led projects and mentored teams, which matches their expectation for technical leadership. Where you might want to strengthen your profile: Containerization & GitOps: If you haven't worked extensively with Docker/Kubernetes or GitOps workflows, brushing up on these would be valuable. AI in DevOps: They ...

service orientated architecture. Strong problem-solving and debugging skills across the stack. Desirable Practical use of Git based Source Control. Experience with GRPC. Containerization using docker/Kubernetes Exposure to Java based client frameworks Exposure to Azure, cloud services, or distributed architectures. Interest in AI/ ...

service orientated architecture. Strong problem-solving and debugging skills across the stack. Desirable Practical use of Git based Source Control. Experience with GRPC. Containerization using docker/Kubernetes Exposure to Java based client frameworks Exposure to Azure, cloud services, or distributed architectures. Interest in AI/ ...

service orientated architecture. Strong problem-solving and debugging skills across the stack. Desirable Practical use of Git based Source Control. Experience with GRPC. Containerization using docker/Kubernetes Exposure to Java based client frameworks Exposure to Azure, cloud services, or distributed architectures. Interest in AI/ ...

service orientated architecture. Strong problem-solving and debugging skills across the stack. Desirable Practical use of Git based Source Control. Experience with GRPC. Containerization using docker/Kubernetes Exposure to Java based client frameworks Exposure to Azure, cloud services, or distributed architectures. Interest in AI/ ...

service orientated architecture. Strong problem-solving and debugging skills across the stack. Desirable Practical use of Git based Source Control. Experience with GRPC. Containerization using docker/Kubernetes Exposure to Java based client frameworks Exposure to Azure, cloud services, or distributed architectures. Interest in AI/ ...

service orientated architecture. Strong problem-solving and debugging skills across the stack. Desirable Practical use of Git based Source Control. Experience with GRPC. Containerization using docker/Kubernetes Exposure to Java based client frameworks Exposure to Azure, cloud services, or distributed architectures. Interest in AI/ ...

pipelines for near-real-time detection (packet/flow analytics). Background in resilience engineering, chaos testing, disaster recovery, and capacity planning at hyperscale. Containerization/orchestration (e.g., Kubernetes) and secure service-to-service communication (mTLS, policy enforcement). Familiarity with zero trust, segmentation, and modern security architectures; exposure ...

pipelines for near-real-time detection (packet/flow analytics). Background in resilience engineering, chaos testing, disaster recovery, and capacity planning at hyperscale. Containerization/orchestration (e.g., Kubernetes) and secure service-to-service communication (mTLS, policy enforcement). Familiarity with zero trust, segmentation, and modern security architectures; exposure ...

pipelines for near-real-time detection (packet/flow analytics). Background in resilience engineering, chaos testing, disaster recovery, and capacity planning at hyperscale. Containerization/orchestration (e.g., Kubernetes) and secure service-to-service communication (mTLS, policy enforcement). Familiarity with zero trust, segmentation, and modern security architectures; exposure ...

pipelines for near-real-time detection (packet/flow analytics). Background in resilience engineering, chaos testing, disaster recovery, and capacity planning at hyperscale. Containerization/orchestration (e.g., Kubernetes) and secure service-to-service communication (mTLS, policy enforcement). Familiarity with zero trust, segmentation, and modern security architectures; exposure ...