Java/Angular Developer - AI Enabled Platform (Contract) REMOTE

Broadridge•New York, NY

3d•$75 - $85•Remote

About The Position

At Broadridge, we've built a culture where the highest goal is to empower others to accomplish more. If you’re passionate about developing your career, while helping others along the way, come join the Broadridge team. Broadridge is Growing! We are seeking a Java/Angular Developer — AI-Enabled Platform (Retirement Domain) to join a stellar team on contract basis. We are building a modern retirement data platform and are looking for a Software Engineer who combines strong full-stack engineering skills with practical experience designing AI-augmented developer workflows. You will contribute across our backend ETL pipeline, REST APIs, and Angular front end — and help us evolve an AI-first developer toolchain built on GitHub Copilot and Claude. This is a remote role where you will work off-site. Travel is limited and generally used for team learning and collaboration meetings.

Requirements

6+ years Java 17+ development — Spring Boot, Spring Batch, or equivalent frameworks
Background in retirement services, financial services, or wealth management — strong preference for candidates with direct experience in plan data, recordkeeper relationships, or participant-level data flows
Angular development with TypeScript, RxJS, and a component library (PrimeNG, Angular Material, or similar)
SQL proficiency against a cloud data warehouse (Snowflake preferred)
MyBatis or equivalent JDBC/ORM mapper
REST API design with stateless JWT/LDAP authentication
Git-based workflows using GitLab or GitHub (branching, MRs, CI/CD)
Demonstrated hands-on experience with GitHub Copilot or Claude as a developer tool — writing custom agents, instructions, or skills (not just using AI for code completion)

Nice To Haves

Domain Experience in the retirement services industry is a significant plus. Familiarity with concepts such as retirement plan data, recordkeeper relationships, participant data, plan flows, holdings, and data provider integrations will help you ramp up quickly and contribute meaningfully from day one.
Liquibase schema migration experience
Experience with Snowflake stored procedures and MERGE-based ETL patterns
Familiarity with MCP server setup or integration
Experience with AI prompt hooks and agent lifecycle triggers
Jira integration via API or MCP

Responsibilities

Design and maintain configuration-driven ETL pipelines using Spring Batch and MyBatis targeting Snowflake
Write and deploy Snowflake stored procedures in a JSON-driven extract engine
Manage schema migrations via Liquibase ; participate in CI/CD pipelines using Jenkins and Maven
Write unit and integration tests (JUnit 5) with full coverage for all changes
Build and maintain Spring Boot REST APIs with stateless security using JWT (HS512) and LDAP authentication
Design API contracts for front-end grid operations (generic `POST /api/grid` pattern)
Contribute to shared Spring Security configuration, interceptors, and CORS policies
Develop and maintain features in an Angular 19 standalone-component application using TypeScript , RxJS , and PrimeNG
Implement config-driven data grid components with lazy loading, filtering, sorting, and inline dialogs
Work with TailwindCSS and SCSS module styling within a custom design system
Write Jasmine/Karma unit tests for UI components
Design, maintain, and evolve our AI-assisted developer toolchain.
Author per-repo `copilot-instructions.md` system prompts that inject domain context, coding conventions, and tech stack knowledge into every AI session
Build `.agent.md` agent definitions for autonomous tasks such as story writing, code generation, code review, and MR creation
Design multi-agent pipelines where an orchestrator delegates across sequential sub-agents (e.g., story validation → spec → code → review → MR push)
Create reusable, on-demand `SKILL.md` instruction sets for recurring workflows (GitLab access, Snowflake deployments, structured MR review checklists)
Configure and consume MCP servers (`.mcp.json`) to connect agents to tools like Jira, GitLab, Figma, and cloud security platforms
Encode architecture overviews, workflow entry points, and codebase conventions into AI initialization files for Claude Code and similar agents
Write parameterized, reusable `.prompt.md` templates for recurring developer workflows
Use Copilot's plan/act cycle with session and repository memory for complex multi-step task management