Java Software Engineer

Job Description

Job Description:

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The ideal candidate will have strong experience in enterprise-grade backend development using modern Java, Spring Boot, and event-driven architectures and a proven ability to design, build, and optimize resilient, secure, and scalable services.

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Responsibilities:

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• Design, develop, and maintain backend services using Java 17+ and Spring Boot.

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• Implement RESTful APIs with OpenAPI documentation and enforce secure authentication and authorization.

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• Engineer event-driven integrations with Apache Kafka and IBM MQ using robust consumer and idempotency patterns.

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• Optimize performance through JVM tuning, profiling, and resilient design patterns.

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• Develop reliable database schemas and data access layers using Oracle or PostgreSQL/MySQL with Flyway or Liquibase.

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• Drive test automation across unit, integration, and contract layers with TDD practices.

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• Containerize and deploy services to OpenShift or Kubernetes with CI/CD pipelines.

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• Instrument services for observability with metrics, logs, and traces.

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• Collaborate in Agile teams across time zones and contribute to design reviews and code quality.

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Required Skills & Qualifications:

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• 10+ years of experience building enterprise Java systems.

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• Hands-on Java 17/21/25 LTS, Core Java, Jakarta EE, Spring Framework 7, Spring Boot 4.x, RESTful services.

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• Proficiency with modern Java features, JVM internals, GC tuning, and performance profiling.

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• Strong SQL and PL/SQL with Oracle or equivalent RDBMS; schema versioning with Flyway or Liquibase.

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• Event-driven architecture with Kafka and IBM MQ, including partitioning, consumer groups, idempotency, and transactional outbox.

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• JPA 2/3, Hibernate 6, HikariCP, and strong relational modeling.

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• Spring Security 6+, OAuth2.0/OIDC, JWT-based stateless auth, RBAC/ABAC.

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• Resilience4j patterns for circuit breaking, retries, and rate limiting.

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• Caching and NoSQL exposure with Redis, MongoDB, Elasticsearch; familiarity with vector databases such as Pgvector is a plus.

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• TDD and automated testing: JUnit 5, Mockito, AssertJ, Cucumber/Gherkin, Testcontainers, WireMock or Spring Cloud Contract.

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• Version control with Git and platforms such as Bitbucket or GitHub, including PR and branching workflows.

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• Containerization and deployment with Docker, OpenShift, Kubernetes, including ConfigMaps, Secrets, Ingress, autoscaling with HPA/KEDA.

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• CI/CD with Jenkins, GitHub Actions, GitLab CI, or ArgoCD.

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• Observability with Micrometer, Prometheus, Grafana, and distributed tracing via OpenTelemetry/Zipkin/Jaeger.

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• Strong understanding of the full SDLC and Agile practices including Scrum and sprint planning.

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Preferred Skills:

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• Experience integrating Spring AI and LLM patterns such as RAG workflows.

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• Familiarity with API performance tuning and high-throughput service design.

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• Proficiency with IntelliJ IDEA or Eclipse and code quality tools such as SonarQube.

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• Use of AI-assisted development tools such as Claude, GitHub Copilot, Devin, or Cursor for code generation and reviews.

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