Senior Java backend Engineer

Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region. Roles & Responsibilities: Backend Developer Profile Core Tech Stack Languages & Frameworks Java 11–25 (LTS focus: 11, 17, 21), modern language features (records, sealed classes, pattern matching, virtual threads) Spring Boot 3–4 (Spring Framework 6+, native compilation awareness a plus) Quarkus 1–2 (CDI, Panache, native image builds) Data & Messaging PostgreSQL (schema design, indexing, query optimization, migrations via Liquibase/Flyway) Kafka (producers/consumers, partitioning strategy, exactly-once semantics, schema registry/Avro or Protobuf) Elasticsearch (indexing strategy, query DSL, aggregations) Redis (caching patterns, TTL strategy, pub/sub, distributed locks) APIs & Integration REST (resource design, versioning, OpenAPI/contract-first) gRPC (protobuf contracts, streaming) GraphQL (schema design, resolver performance, N+1 avoidance) Architecture Microservices (service boundaries, decoupling patterns, anti-corruption layers) Event-driven architecture (choreography vs. orchestration, eventual consistency, outbox pattern) 12-factor app principles as a baseline design discipline Platform, Containers & Delivery Azure DevOps (pipelines as code, release management, boards) Docker (writing/reading Dockerfiles, image optimization) Kubernetes (pods, services, ConfigMaps/Secrets, HPA, resource limits) Helm charts and GitOps-based deployment (ArgoCD) Testing & Quality Gates JUnit 5, Mockito, Testcontainers Contract testing (Pact), static analysis (SonarQube/Checkstyle) Chaos/resilience testing awareness Observability & Reliability Structured logging, distributed tracing (OpenTelemetry/Jaeger) Metrics, dashboards, SLO/SLI-based alerting Resilience patterns: circuit breakers/bulkheads (Resilience4j), rate limiting Security OWASP Top 10, secure coding practices Secrets management (Key Vault/External Secrets Operator) OAuth2/OIDC, service-to-service auth, dependency vulnerability scanning (Trivy/Snyk) Modern Engineering Practices Effective, critical use of AI coding assistants (code generation, review, test/doc generation) without over-trusting output Expectations: Designs service boundaries and evaluates microservice vs. modular monolith trade-offs for new capabilities Leads event-driven design decisions: schema evolution strategy, backward/forward compatibility, dead-letter handling, idempotency Makes and documents architecture decisions (ADRs) with awareness of long-term maintenance cost Owns performance: query optimization, caching strategy (Redis), connection pool tuning, JVM tuning basics Designs Helm charts and GitOps-based deployment pipelines (ArgoCD); understands HPA and resource planning at scale Drives quality gates: static analysis (SonarQube/Checkstyle), contract testing (Pact), mutation testing where appropriate; owns test pyramid strategy for the team Designs for observability from day one: sets SLOs/SLIs, structured logging, distributed tracing, cost-aware alerting — not bolted on after an incident Applies resilience patterns proactively (circuit breakers, bulkheads, rate limiting) rather than reactively after outages Understands security deeply: threat modeling, dependency vulnerability management, least-privilege service accounts, zero-trust service-to-service auth Comfortable operating across Spring Boot and Quarkus, and can make a reasoned recommendation for which fits a given service Can lead incident response: root cause analysis, blameless postmortems, follow-through on remediation Mentors medior/junior developers through pairing and code review, not just gatekeeping Evaluates where AI-assisted tooling (code review, test generation, documentation) genuinely improves team velocity vs. where it introduces risk Balances pragmatism vs. purism — knows when "clean" should yield to "shipped," and can defend that call Quality mindset markers Treats clean architecture as a tool for change, not a religion — pushes back when it's used to over-engineer Actively reduces coupling across the ~100-service scale, not just within their own service Champions quality gates and test strategy for the team, not just their own PRs Educational qualification: Bachelor of Engineering in any of the below mentioned. Computer Science (CSE) Information Technology (IT) Electronics & Communications Engineering (ECE) Information Science / Software Engineering Experience : 8+ years, with demonstrable ownership of non-trivial systems Mandatory/requires Skills : Preferred Skills : high level of collaboration with the stake holders better communication skills