Forward Deployed Engineer – Java Developer + AI

Position Title: Forward Deployed Engineer – Java Developer + AILocation: Phoenix, AZ | Hybrid

Job Description

Bachelor's degree or Master’s Degree in Computer science, or a related field, with minimum 10+ years of experience.Java/Spring Boot, GitHub + Copilot, Maven, PostgreSQL, Docker, Jira/Confluence, GCP fundamentals.Harness, GKE/Cloud Run, Kafka, SonarQube, AI basics;Terraform, Camunda/Appian, Vertex AI, frameworks (Agents + Skills, MCP).Java versions 8, 11, 17, 21, SOLID principles, OOP concepts, Design patterns, Functional interfaces Java migration patternsSpring Framework – Core Concepts - Dependency Injection, MVC architecture, Controller responsibilities, Transaction management, Core Spring annotations)Spring Boot - (Spring Boot features, Core annotations, Dependency Injection, Application context, @SpringBootTest, Global exception handling, Configuration management, Multi-environment setup, ORM best practices, Security basics, Multiple DB connections, Version upgrades)Microservices Architecture (Monolith to microservices principles, Microservice patterns, Saga pattern, Orchestration vs Choreography, API Gateway, Distributed data consistency, Failure handling, Resilience strategies)REST APIs & Integration (REST lifecycle,Spring REST annotations, External API calls, Timeout & fallback handling, API performance troubleshooting)Caching & Performance Optimization (Redis caching, @Cacheable, Cache eviction strategies, Performance tuning)Security (Authentication & Authorization, Spring Security basics, Secure configuration management, Certificates & credentials handling)Understands the AIDLC stages and where AI accelerates the SDLCLLM application basics: prompting, RAG concept, tool/function callingEffective day-to-day use of GitHub Copilot; writes simple eval casesSolid LLM application patterns — RAG, tool/function calling, MCP basicsSpec-driven development; prompt and context-engineering fundamentalsDesigns RAG and agentic solutions; advanced context engineeringMCP integrations across enterprise tools; defines eval strategyDrives measurable developer-productivity outcomes from AI tooling