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Ця вакансія не має повного перекладу вибраною мовою. Нижче показано оригінальний зміст.

Senior Java backend Engineer

Robert Bosch Sp. z o.o. bengaluru, Індія
Full-time On-site work

Publication date: 05/11/2026

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.

Educational qualification

Bachelor of Engineering in any of the below mentioned.

Experience

8+ years, with demonstrable ownership of non-trivial systems

Requirements

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); 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); REST (resource design, versioning, OpenAPI/contract-first); gRPC (protobuf contracts, streaming); GraphQL (schema design, resolver performance, N+1 avoidance); 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; 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); JUnit 5, Mockito, Testcontainers; Contract testing (Pact), static analysis (SonarQube/Checkstyle); Chaos/resilience testing awareness; Structured logging, distributed tracing (OpenTelemetry/Jaeger); Metrics, dashboards, SLO/SLI-based alerting; Resilience patterns: circuit breakers/bulkheads (Resilience4j), rate limiting; OWASP Top 10, secure coding practices; Secrets management (Key Vault/External Secrets Operator); OAuth2/OIDC, service-to-service auth, dependency vulnerability scanning (Trivy/Snyk); Effective, critical use of AI coding assistants (code generation, review, test/doc generation) without over-trusting output; 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

Nice to have

high level of collaboration with the stake holders; better communication skills
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