What is The Role

Elastic is looking for a Lead Salesforce Engineer who combines deep architectural intuition, clean coding, and sharp debugging skills with an AI-native workflow using tools like Cursor, Claude Code, or Codex across the entire stack. Adaptable and deeply curious, you will dive into platforms like Salesforce and MuleSoft while holding an end-to-end ownership mindset to elevate engineering practices and turn ambiguous business challenges into high-quality, reliable production solutions. In this role, success goes beyond ticket counts; you will streamline critical revenue processes, scale platform architecture, and leverage AI to build smart automations that eliminate manual work, serving as a key technical partner driving meaningful business impact.

What You Will 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., Agent Builder, 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.

What You Bring

• 12+ years of professional full-stack software engineering experience — strong fundamentals across frontend, backend, APIs, and data.
• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical discipline.
• 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.

Bonus Points

• 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
• Take ambiguous business problems and turn them into production solutions.
• Reduce friction in critical revenue processes.
• Improve the reliability and scalability of our platform.
• Deliver solutions faster without sacrificing engineering quality.
• Identify opportunities to eliminate manual work through automation and AI.
• Become a trusted technical partner for business stakeholders.
• Leave our architecture and engineering practices better than you found them.