Java Backend Developer
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Role details
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Job description
We are migrating critical backend services to Azure Red Hat OpenShift (ARO) . We are looking for a Java Backend Developer who can refactor, containerize, and deploy existing Java applications into a Kubernetes-native environment. You will leverage modern developer tooling (VS Code, GitHub Copilot, Podman) and collaborate on CI/CD pipelines (Azure DevOps)., Refactor existing Java/Spring Boot applications for cloud-native deployment on ARO (Azure Red Hat OpenShift) or OCP. Build container images using Podman (or Docker) and manage local deployment tests. Use VS Code as primary IDE (IntelliJ/Eclipse acceptable) with GitHub Copilot to accelerate coding, troubleshooting, and test creation. Manage source code via GitHub repositories (branching, PRs, actions). Work with Azure DevOps (ADO) for building, artifact management, and optional CI/CD exposure. Troubleshoot Java applications in containerized/OpenShift environments (logs, routes, config maps, secrets). Collaborate with platform teams to align migration patterns (e.g., statelessness, externalized config, health checks).
Requirements
Java 11/17+ (or 21) with strong backend experience (Spring Boot, Micronaut, or Quarkus). Experience with REST APIs, JDBC / JPA, messaging (Kafka/RabbitMQ is a plus). Understanding of application migration from VM/physical to containers.
Container & Cloud (ARO / OCP) Working knowledge of Kubernetes / OpenShift concepts (pods, deployments, services, routes). Podman or Docker - local image build, multi-stage builds, volume mapping. Familiarity with ARO (Azure Red Hat OpenShift) or willingness to learn quickly. YAML manifests (Deployment, Service, ConfigMap, Secrets).
Developer Tooling & AI VS Code extensions for Java, Copilot, and Kubernetes/OpenShift. Active use of GitHub Copilot for debugging, unit testing, and boilerplate generation. GitHub repo management (PR reviews, actions).
CI/CD (Limited exposure acceptable) Basic understanding of Azure DevOps (ADO) pipelines (YAML). Ability to read pipeline logs and debug build failures.
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Prepare application
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