Java Software Engineer

Role Summary

We are seeking 2 Senior Developers to build production-grade AWS microservices as part of a cloud migration team. The program delivers 8 cloud-native services processing 4M events/day. You'll implement core service logic, write comprehensive tests, and participate in parallel-run validation — starting with two simpler applications, then progressing to two high-volume complex systems.

Responsibilities

• Implement microservice business logic in Java 17 / Spring Boot 3.2
• Build SQS FIFO consumers and Kafka (MSK) consumers/producers for event ingestion and publishing
• Implement database access layers using Spring Data JPA against Aurora PostgreSQL
• Write DocumentDB (MongoDB-compatible) history persistence with TTL indexing
• Implement EventBridge Scheduler integration for timer-based workflows
• Apply design patterns: virtual threads (Java 21) for parallel API calls, circuit breakers (Resilience4j) for external APIs, SQS FIFO message ordering
• Write unit tests (JUnit 5), integration tests, and property-based tests (jqwik) — target >80% coverage
• Build structured JSON logging and X-Ray distributed tracing instrumentation
• Participate in parallel-run validation: build comparator logic, diagnose discrepancies
• Write Terraform/CDK modules for service infrastructure

Required Skills

• 5+ years of Java development, with 2+ years on Spring Boot
• Hands-on experience with at least 3 of: AWS ECS, SQS, SNS, Aurora PostgreSQL, DocumentDB, EventBridge
• Strong SQL skills — complex queries, transactions, indexing strategies
• Experience with Kafka or any distributed messaging system
• Solid unit and integration testing practices
• Git workflow proficiency (feature branching, merge requests, CI pipelines)
• Comfortable working in an agile team with daily overlap hours for standups and design discussions

Preferred Skills

• Experience migrating legacy systems to cloud-native architectures
• MongoDB or DocumentDB experience (append-only patterns, TTL indexes)
• Docker and container-based development workflows
• State machine implementations or complex event processing
• Drools or rules engine concepts
• Parallel-run or shadow-traffic validation approaches