Sr. Java Developer
CitiusTech
Job Description
Responsibilities Design, develop, test, and deploy Java microservices on GCP; implement resilient, observable services in a microservice architecture. Build responsive front‑end applications using Angular (component‑driven patterns, RxJS). Implement messaging/streaming integrations using Kafka and GCP Pub/Sub; design for at‑least‑once/exactly‑once semantics and back‑pressure.
Work with GCP Kubernetes (GKE) for container orchestration; automate CI/CD and promote builds across environments. Model and optimize data access on Cloud Spanner; contribute to schema design, transaction strategies, and performance tuning. Own E2E quality: unit, integration, contract, and performance testing; drive high code coverage and automated quality gates.
Collaborate across architecture, data modeling, security, and product teams; demo features, capture feedback, and iterate quickly. Document LLD/sequence diagrams, and contribute to coding standards, architecture guidelines, and re‑usable libraries. Support production (SRE/DevOps mindset): monitoring, incident response, and RCA.
Educational Qualifications Engineering Degree – BE/ME/BTech/MTech/BSc/MSc. Technical certification in multiple technologies is desirable. Skills Strong 10+ years of professional software engineering experience; Java 8+ in production. 4+ years recent, hands‑on Spring ecosystem (Spring 4/5, Spring Boot 2+ , Spring Data, Spring Cloud, Spring Integration, Spring REST).
Event‑driven / asynchronous architecture; 4+ years integrating with brokers (Kafka / Pub/Sub) and applying appropriate design patterns. GCP hands‑on : GCS Buckets, Kubernetes (GKE) , Pub/Sub , Kafka ; infrastructure and services usage in production. Cloud Spanner experience (or strong NoSQL exposure with Cassandra/Couchbase and proven ability to ramp).
Strong testing discipline: JUnit5, Spring test (unit/integration), isolated layer testing, Hamcrest/AssertJ; mocking & debugging. Modern tooling: Git (enterprise workflows), Gradle/Maven , IntelliJ (preferred) or equivalent; CI/CD (Jenkins/GitHub Actions/Sonar). Clear communication, stakeholder engagement, and cross‑functional collaboration.
Gen AI / Agentic AI exposure to build workflows and agents using ADK, A2A and MCP. Good‑to‑Have Skills Windsurf AI (developer productivity/AI‑assisted workflows). GCP Dataflow (batch/stream processing).
US healthcare context—clinical data, medications, orders, labs. Angular/React (recent production experience). #J-18808-Ljbffr