Description

What You'll Do:

• Own a microservice or feature end-to-end: design, build, test, deploy via Harness to     GKE/Cloud Run
• Build and harden RAG / LLM features; set up evals and monitoring (Splunk, Grafana)
• Execute guided migration patterns (DB2?PostgreSQL, IBM MQ-Kafka)
• Participate in client meetings with guidance; groom and estimate backlog in Jira
• Mentor L1 associates on assigned tasks. Strong Java/Spring Boot and Spring Batch Kafka fundamentals
• Strong Java/Spring Boot and Spring Batch; Kafka fundamentals
• PostgreSQL; REST + OpenAPI/Swagger contract design
• CI/CD with Harness; containerization; able to debug production issues

Expertise You'll Bring:

• Solid LLM application patterns RAG, tool/function calling, MCP basics
• Spec-driven development; prompt and context-engineering fundamentals
• Builds reusable eval harnesses and quality gates for AI features
• Java/Spring Boot, GitHub + Copilot, Maven, PostgreSQL, Docker, Jira/Confluence, GCP fundamentals.
• Harness, GKE/Cloud Run, Kafka, SonarQube, Vertex AI basics; IBM Watsonx for Z (TrackB)

Key Skills

Education

Any Graduate