Senior Fullstack Java + Angular Developer

Design and implement Front-End Angular in Java (preferably Java 17+).

Model and optimize User Experience and Data user flow

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.

7+ years of professional front-end angular experience with Java (Core Java, 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.

Experience with Capital Markets, trading, market data, or financial analytics.

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).