Example Corp-posted 29 days ago
$120,000 - $150,000/Yr
Full-time • Mid Level
Hybrid • San Francisco, CA
1-10 employees

We’re looking for a Java Developer to design, build, and scale backend services that power our products and internal platforms. You’ll work closely with product, design, and data to ship reliable features, improve performance, and raise our engineering bar. About the role Build and operate backend services and REST APIs in Java (preferably Java 17+) using Spring Boot. Contribute across the lifecycle: discovery, technical design, implementation, testing, deployment, and support. Improve reliability, security, and observability as part of how we build — not as an afterthought.

  • Design, implement, and maintain microservices and REST APIs with Spring Boot.
  • Write clean, maintainable, and well-tested code (JUnit 5, Mockito), and review peers’ code for quality and clarity.
  • Model data and optimize queries in SQL (PostgreSQL/MySQL); leverage caching (e.g., Redis) for performance.
  • Build event-driven features using messaging (e.g., Kafka or RabbitMQ) where it fits the problem.
  • Instrument services with logs, metrics, and traces (OpenTelemetry/Prometheus/Grafana) and resolve production issues with data.
  • Apply secure-by-default practices (OAuth2/OIDC, secrets management, OWASP Top 10 mitigations).
  • Automate builds and releases via CI/CD (GitHub Actions/Jenkins/CircleCI); containerize with Docker and deploy to Kubernetes.
  • Partner with product and design to refine requirements and break down work into iterative deliveries.
  • Author and review concise technical design docs; participate in architecture discussions.
  • Take ownership of services in production, including participating in on-call rotations where applicable.
  • Proficiency in Java and the Spring ecosystem (Spring Boot, Spring Data, Spring Security).
  • Hands-on experience building and operating microservices and REST APIs in production.
  • Strong grasp of relational data modeling and SQL; familiarity with performance tuning.
  • Working knowledge of cloud platforms (AWS/GCP/Azure) and basic infrastructure concepts.
  • Confidence with Git workflows, code reviews, and trunk- or GitFlow-based development.
  • Solid testing practices: unit, integration, and contract testing; comfort with test automation.
  • Clear communication, collaborative approach, and a practical mindset focused on outcomes.
  • Event-driven architecture with Kafka; stream processing patterns.
  • Domain-driven design (DDD) and pragmatic service boundaries.
  • Deeper observability (SLOs, RED/Golden signals, alert design) and production readiness checklists.
  • Security fundamentals: OAuth2, JWT, mTLS, and dependency vulnerability management.
  • Kubernetes operations, Helm, and infrastructure-as-code (e.g., Terraform).
  • Experience with feature flags, gradual rollouts, and experimentation.
  • Exposure to GraphQL or gRPC; basic scripting in Python/Go for tooling.
  • Healthcare
  • retirement
  • paid time off
  • parental leave
  • learning budget
  • home office stipend
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