Project Description:
- We're looking for a Senior Java Developer to design, build, and scale backend services for a high throughput, low latency platform with strict reliability and auditability requirements. You'll own end to end delivery—from design to production—collaborating closely with Product, QA, and DevOps.
Responsibilities:
- • Design and implement microservices and event-driven components in Java (preferably Java 17+).
- • Model and optimize PostgreSQL schemas, queries, and transactions for performance and integrity.
- • Build resilient, observable services on AWS (ECS/EKS/Lambda, S3, RDS/Aurora, MSK/Kinesis, IAM).
- • Ship with strong CI/CD practices (GitHub Actions) and leverage GitHub Copilot to accelerate high quality delivery.
- • Ensure reliability, scalability, and fault tolerance (circuit breakers, retries, idempotency, backpressure).
- • Implement security and compliance controls (authz/authn, secrets, IAM policies, encryption at rest/in transit).
- • Own production operations: monitoring, troubleshooting, and performance tuning.
- • Contribute to architecture decisions, code reviews, and engineering standards.
Mandatory Skills Description:
- • 7+ years of professional backend experience with Java (Core Java, Collections/Concurrency, Streams, JVM internals).
- • Strong with Spring ecosystem (Spring Boot, Spring Data, Spring Security; understanding of Spring Cloud is a plus).
- • 5+ years of professional experience with Angular
- • Exposure to Python for tooling and automation.
- • Proven expertise with PostgreSQL: indexing strategies, query tuning (EXPLAIN/ANALYZE), transactions/locking, isolation levels.
- • Hands on AWS experience: deploying and operating production services (at least 3 of ECS/EKS/Lambda, RDS/Aurora, S3, SQS/SNS/MSK/Kinesis, CloudWatch, IAM).
- • Solid API design (REST/gRPC), versioning, pagination, and backward compatibility.
- • Production grade observability (logs, metrics, tracing; OpenTelemetry, Prometheus/Grafana, or similar).
- • CI/CD with GitHub and GitHub Actions (branching strategies, code reviews, trunk based or GitFlow).
- • Practical use of GitHub Copilot (or similar AI coding assistants) to boost productivity while maintaining code quality.
- • Experience building fault tolerant distributed systems (circuit breakers, bulkheads, rate limiting; resilience patterns).
- • Proficiency with containerization (Docker) and infrastructure as code (Terraform/CloudFormation—at least one).
- • Strong understanding of secure coding practices and common vulns (OWASP Top 10).
- • Excellent communication; ability to turn ambiguous requirements into actionable technical plans.
