Lead Salesforce Full Stack AI Engineer

Elastic the Search AI Company enables everyone to find the answers they need in real time using all their data at scale unleashing the potential of businesses and people. The Elastic Search AI Platform used by more than 50% of the Fortune 500 brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data securing and protecting private information more effectively Elastics complete cloud-based solutions for search security and observability help organizations deliver on the promise of AI.

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 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.

• 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 platforms security model with support to ramp up if youre 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.

• 12 years of professional full-stack software engineering experience strong fundamentals across frontend backend APIs and data.
• Bachelors 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
• 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.