Job Summary
Mandatory Skills & Experience
Java 17: Functional programming features, records, sealed classes, performance considerations.
Spring Boot: Auto-configuration, profiles, Spring Data/JPA, WebFlux (nice), validation, actuator.
SQL & RDBMS: Schema design, indexes, query optimization, transactions, isolation levels.
Apache Kafka: Topic design, partitioning strategy, consumer groups, offsets, retries/DLQ, schema registry/Avro/Protobuf.
GCP: Familiarity with Cloud Run or GKE, Cloud SQL, Cloud Storage, Secret Manager, IAM, VPC; cost/perf trade-offs.
DevOps Tooling: Git, CI/CD (Jenkins/GitHub Actions/GitLab), Docker; Kubernetes fundamentals; IaC awareness.
Software Engineering Fundamentals: DDD concepts, SOLID, testing (unit/integration), performance profiling, and security basics (OAuth2/JWT, OWASP Top 10).
Non-Mandatory (Nice-to-Have)
MongoDB (schema design, indexes, aggregation).
Messaging systems: RabbitMQ, GCP Pub/Sub, or SQS/SNS.
Caching & Performance: Redis, Hazelcast; rate limiting; API gateways (Kong/Apigee).
Observability: Prometheus/Grafana, ELK/EFK, OpenTelemetry, distributed tracing.
Build & Infra: Maven/Gradle tuning, Helm charts, Terraform, Argo CD.
Testing: Testcontainers, WireMock/MockServer, contract testing (Pact), chaos testing basics.
Security: mTLS, secrets r
Key Responsibilities
2. Collaborate with cross functional teams to deliver projects within scope and timeline.
3. Mentor team members on best practices in java, microservices, and react development.
4. Perform code reviews and ensure adherence to coding standards and best practices.
5. Troubleshoot and resolve complex technical issues in java, microservices, and react applications.
6. Stay updated on industry trends and technologies to recommend enhancements and improvements.
Skill Requirements
2. Experience in designing and developing microservices architecture.
3. Proficiency in frontend development using react framework.
4. Solid understanding of restful apis and web services.
5. Experience with containerization technologies such as docker and kubernetes.
6. Familiarity with ci/cd pipelines and devops practices.
7. Strong problem-solving skills and ability to analyze and resolve technical issues.
8. Excellent communication and leadership abilities to effectively lead a technical team.