Forward Deployed engineer

Owns an entire mid-size engagement or leads a major workstream on a strategic program (e.g., a workflow-modernization (Pega Camunda) or data-modernization domain). Acts as the technical representative for Persistent to the client at the module level.

• Lead design and delivery of a program module; set code standards and module architecture
• Scope new work streams; translate vague executive asks into concrete engineering plans
• Drive AIDLC adoption and measure Copilot / Speckit ROI on the module
• Lead design and PR reviews; mentor L1/L2 FDEs
• Own the client technical relationship at workstream/module level
• Java versions 8, 11, 17, 21, SOLID principles, OOP concepts, Design patterns, Functional interfaces Java migration patterns

Dependency Injection, MVC architecture, Controller responsibilities, Transaction management, Core Spring annotations)

(Spring Boot features, Core annotations, Dependency Injection, Application context, @Spring Boot Test , Global exception handling, Configuration management, Multi-environment setup, ORM best practices, Security basics, Multiple DB connections, Version upgrades)

(Monolith to microservices principles, Microservice patterns, Saga pattern, Orchestration vs Choreography, API Gateway, Distributed data consistency, Failure handling, Resilience strategies)

(REST lifecycle, Spring REST annotations, External API calls, Timeout & fallback handling, API performance troubleshooting)

(Redis caching, @Cacheable, Cache eviction strategies, Performance tuning)

(Authentication & Authorization, Spring Security basics, Secure configuration management, Certificates & credentials handling)

• Understands the AIDLC stages and where AI accelerates the SDLC
• Effective day-to-day use of Git Hub Copilot; writes simple eval cases
• Spec-driven development; prompt and context-engineering fundamentals
• Designs RAG and agentic solutions; advanced context engineering
• Drives measurable developer-productivity outcomes from AI tooling

• Java/Spring Boot, Git Hub + Copilot, Maven, PostgreSQL, Docker, Jira/Confluence, GCP fundamentals.
• Harness, GKE/Cloud Run, Kafka, Sonar Qube, Vertex AI basics; IBM Watsonx for Z (Track
  3).
• Terraform, Camunda/Appian, Vertex AI, agentic frameworks (Agents + Skills, MCP).

Trusted technical advisor at the module level; runs client design reviews and demos.

Technical challenges, Code reviews, Problem solving skills)

• Technical leadership and accountability for outcomes
• Mentoring and firm contribution (playbooks, reusable assets)