Software Engineer, Full Stack & AI-Native Development (MTS)

Description The Experience

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.

What You'll Actually Be Doing

• 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.

You're Our Person If...

• 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.

Even Better If...

• 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.

What Makes You Successful

• A true engineer at heart: someone who can reason about architecture, write clean code, and diagnose hard bugs — with or without AI in the loop.
• Genuinely AI-native: you reach for Cursor, Claude Code, or Codex by default, and use them to build fluency across the stack, not just in your specialty.
• Curious and adaptable — comfortable picking up new platforms (including Salesforce, Mulesoft) quickly when the work calls for it.
• Ownership mindset: you drive features to done, care about quality, and elevate the engineers around you.
• Excited about applying AI meaningfully to real business problems — automation, decision support, and smarter workflows .

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.