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Java FSD (Angular) + AI Lead

• Posted 9 hours ago • Updated 45 minutes ago

Full Time

Fitment

Dice Job Match Score™

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Job Details

Skills

Java
microservices
spring boot
Maven
Docker
GCP
Spring framework
Angular
PostgreSQL
REST APIs
GITHUB
GitHub Copilot
LLM
RAG
Redis
Spring Security
MCP

Summary

Forward Deployed Engineer - Java Full Stack (Angular) + AI Lead
L3 - Senior FDE (5 8 years)

Mission / Role Summary

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). Technical face of Persistent to the client at module level.

Key Responsibilities

Lead design and delivery of a program module; set code standards and module architecture
Scope new workstreams; 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

Engineering Skills (Core)

Java versions 8, 11, 17, 21, SOLID principles, OOP concepts, Design patterns, Functional interfaces Java migration patterns
Spring 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)

AIDLC & GenAI Capability

Understands the AIDLC stages and where AI accelerates the SDLC
LLM application basics: prompting, RAG concept, tool/function calling
Effective day-to-day use of GitHub Copilot; writes simple eval cases
Solid LLM application patterns - RAG, tool/function calling, MCP basics
Spec-driven development; prompt and context-engineering fundamentals
Designs RAG and agentic solutions; advanced context engineering
MCP integrations across enterprise tools; defines eval strategy
Drives measurable developer-productivity outcomes from AI tooling

Primary Tools & Stack

Java/Spring Boot, GitHub + Copilot, Maven, PostgreSQL, Docker, Jira/Confluence, Google Cloud Platform fundamentals.
Harness, GKE/Cloud Run, Kafka, SonarQube, Vertex AI basics; IBM Watsonx for Z (Track 3).
Terraform, Camunda/Appian, Vertex AI, agentic frameworks (Agents + Skills, MCP).

Client / Stakeholder Engagement

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

Behavioral & Leadership Expectations

General, Behavioral & Problem Solving Project explanation, Recent work, Technical challenges, Code reviews, Problem solving skills)
Technical leadership and accountability for outcomes
Mentoring and firm contribution (playbooks, reusable assets)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10486268
Position Id: 2026-263
Posted 9 hours ago

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