Strong track record (10+ years) of relevant experience in the design and development of enterprise-grade Java-based systems.
10+ years' hands-on experience in Java 17/21 LTS (Java 21 preferred), Core Java, Jakarta EE (J2EE), Spring Framework 7 / Spring Boot 4.x RESTful services.
Working knowledge of modern Java language features and exposure to JVM internals - GC tuning and performance profiling.
Databases - Oracle or equivalent (PostgreSQL/MySQL) with strong SQL and PL/SQL programming expertise; schema versioning via Flyway/Liquibase.
Proficient in using AI-assisted development tools such as Claude, GitHub Copilot, Devin, Cursor for code generation, review, and productivity acceleration.
Experience working across multiple technologies and medium-to-complex distributed systems; well versed with design standards, patterns, and enterprise frameworks.
Fast learner of new tools, frameworks, and technologies; comfortable working with distributed/cross-timezone teams.
Experience in event-driven architecture - Spring Boot components integrating with Apache Kafka and MQ (IBM MQ), including partitioning, consumer groups, idempotency, and transactional outbox patterns.
Excellent knowledge of Relational Databases, SQL, and ORM technologies (JPA 2/3, Hibernate 6) and connection pooling (HikariCP).
Strong understanding of Spring Security 6+ - OAuth2.0/OIDC, JWT-based stateless auth, RBAC/ABAC.
Familiarity with API design - REST with OpenAPI/Swagger, and exposure to high-performance service communication.
Resilience patterns using Resilience4j - circuit breaking, rate limiting, retries.
Caching and NoSQL exposure - Redis, MongoDB, Elasticsearch; awareness of vector databases (Pgvector,) for AI/RAG-integrated services is a plus.
Exposure to Spring AI and LLM integration patterns (RAG workflows) is an added advantage.
Tools - Well versed with IntelliJ IDEA/Eclipse.
Test-Driven Development and automated testing: JUnit 5, Mockito, AssertJ, Cucumber/Gherkin, Testcontainers for integration testing, contract testing (WireMock/Spring Cloud Contract); JIRA, Maven/Gradle, SonarQube.
Experience with version control - GIT, Bitbucket, GitHub (including PR/branching workflows).
Experience with Docker, multi-stage builds, Red Hat OpenShift, and Kubernetes (Deployments, ConfigMaps, Secrets, Ingress, HPA/KEDA autoscaling).
Experience with CI/CD systems such as Jenkins, GitHub Actions, GitLab CI, or ArgoCD.
Observability exposure - Micrometer, Prometheus, Grafana, distributed tracing via OpenTelemetry/Zipkin/Jaeger.
Strong understanding of the full Software Development Life Cycle (SDLC).
Experience in Agile methodologies - Scrum, sprint planning, and iterative delivery.
