Java AI AWS Lead Software Engineer

What you'll do

• Build and support secure, scalable Java microservices and REST/event-driven APIs; troubleshoot production systems and improve operational stability.
• Lead team adoption of approved AI-assisted development, setting validation standards for correctness, performance, security, and responsible use.
• Own DevOps pipelines and release practices, and define testing strategy across unit, contract, component, functional, performance, and resilience testing.

What they ask for

• Formal training or certification in software engineering concepts and 5+ years of applied experience.
• Hands-on experience in system design, application development, testing, and operational stability; proficiency in SDLC, automation, and continuous delivery.
• Experience leading approved AI-assisted software development and coaching engineers on safe, compliant use and validation of AI outputs.
• Strong experience with Java services and APIs, observability, Cassandra, Kafka, and production applications hosted in Private Cloud (GAIA) and/or AWS.

Nice to have

• Experience with native Android applications or React front-end applications.
• Experience with safe rollout strategies, API gateways, service mesh, multi-region availability, or disaster recovery.

Tools

Java, REST/OpenAPI, Splunk, CloudWatch, Prometheus/Grafana, OpenTelemetry, Cassandra, Kafka

AI focus

Leads adoption of enterprise-authorized AI-assisted engineering for coding, code review, refactoring, testing, and troubleshooting; sets standards for validating outputs and responsible, secure use.