About The Position

The Digital Enterprise Technology – Legal, Risk & Compliance (LRC) Application Development team is looking for a sharp, curious Full Stack Software Engineer who loves building great software and building it fast with modern AI tooling. This role is first and foremost about engineering excellence: strong fundamentals, clean architecture, and the ability to ship end-to-end features across the stack. We're looking for someone who treats AI coding assistants as a core part of the craft, not a side skill — using tools like Cursor, Claude Code, and Codex daily to move faster, explore designs, and raise code quality. You'll work across the full stack — frontend, backend, APIs, data, and integrations — with Salesforce as the primary building platform. Salesforce experience is a plus, not a must-have — we'll get you ramped quickly if you bring strong core engineering skills.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical discipline.
  • 4+ years of professional full-stack software engineering experience — strong fundamentals across frontend, backend, APIs, and data.
  • Proficiency in modern frontend technologies (JavaScript/TypeScript, HTML, CSS, modern frameworks) and backend development (object-oriented programming, RESTful API design, databases/SQL, data modeling).
  • Hands-on, daily experience using AI-assisted coding tools such as Cursor, Claude Code, Codex, GitHub Copilot, or similar — able to write precise prompts and critically evaluate AI-generated code for correctness, security, and performance.
  • Solid grounding in software design patterns, SDLC, Agile methodologies, Git, and CI/CD practices.
  • Strong analytical and problem-solving skills, with the ability to independently design and deliver scalable technical solutions.
  • Excellent communication and cross-functional collaboration skills.

Nice To Haves

  • Experience developing on the Salesforce platform (Apex, Lightning Web Components, SOQL/SOSL, Salesforce Flows, platform security model) — a strong plus.
  • Exposure to Agentforce, Data Cloud, Einstein AI, or other AI-agent/workflow-orchestration platforms.
  • Experience with enterprise integration tools (MuleSoft, Platform Events, Named Credentials) or event-driven architectures.
  • Salesforce Platform Developer I/II certification, or equivalent industry certifications.
  • Familiarity with cloud platforms (AWS, Azure, or GCP), containerization, and observability/engineering productivity metrics.
  • Experience shipping a production AI-powered feature (e.g., agentic workflows, RAG, LLM-backed UI) — one of the strongest signals we look for.

Responsibilities

  • Design, build, and ship full-stack features end-to-end — UI, APIs, business logic, data models, and integrations — with a strong bias for clean, maintainable, well-tested code.
  • Build modern frontend experiences (component-based UI, responsive design) and robust backend services and APIs, applying solid object-oriented and software design principles.
  • Use AI-assisted development tools — Cursor, Claude Code, Codex, GitHub Copilot, or similar — throughout the SDLC: scaffolding, refactoring, test generation, debugging, and code review, while maintaining engineering rigor over AI-generated output.
  • Design and implement integrations using REST APIs, event-driven patterns, and enterprise integration practices.
  • Where the work runs on Salesforce, develop using Lightning Web Components (LWC), Apex, SOQL/SOSL, Flows, and the platform's security model — with support to ramp up if you're new to the platform.
  • Explore and build agentic and AI-powered features (e.g., Agentforce, workflow automation, AI agents) that bring real automation and intelligence into business processes, with appropriate governance and human-in-the-loop checks.
  • Own features through the full lifecycle: solution design, development, testing, deployment, and production support.
  • Contribute to CI/CD, automated testing, code reviews, and Agile ceremonies; and raise the bar on engineering practices across the team.

Benefits

  • time off programs
  • medical
  • dental
  • vision
  • mental health support
  • paid parental leave
  • life and disability insurance
  • 401(k)
  • employee stock purchasing program
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