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.
SKILLS
Must have
- 9+ years of professional backend experience with Java (Core Java, Collections/Concurrency, Streams, JVM internals).
- Experience with Capital Markets, trading, market data, or financial analytics.
- 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.
Nice to have
• Event streaming & messaging: Kafka, MSK, Kinesis, RabbitMQ.
• Data modeling for auditable workflows, SLAs, and multi party approval processes.
• Experience with multi tenant architectures and row level security.
• Knowledge of domain-driven design (DDD) and CQRS patterns.
• Experience with performance profiling (JFR, async-profiler) and JVM tuning (GC, heap, thread pools).
• Exposure to Python and Node.js for tooling and automation.
• Familiarity with feature flags (e.g., LaunchDarkly) and blue/green or canary deployments.
• Compliance/controls mindset (audit trails, data lineage, segregation of duties).