Note: The job is a remote job and is open to candidates in USA. Elastic is a cloud-based Search AI company that helps organizations use structured and unstructured data for search, security, and observability. The Lead Salesforce Full Stack Engineer will design, build, and own scalable full-stack features, integrations, and AI-powered automations across Salesforce, MuleSoft, and related platforms while improving engineering practices and revenue processes.
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., 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
Skills
- 10+ 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
- 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
Benefits
- This role is currently eligible to participate in Elastic's stock program.
- A company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings.
- Health coverage for you and your family in many locations.
- Ability to craft your calendar with flexible locations and schedules for many roles.
- Generous number of vacation days each year.
- We match up to $2000 (or local currency equivalent) for financial donations and service.
- Up to 40 hours each year to use toward volunteer projects you love.
- Minimum of 16 weeks of parental leave.
Company Overview
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