Lead Salesforce Full Stack AI Engineer
This role is for a Lead Full Stack Engineer to design and build scalable features for the Elastic platform, with a focus on Salesforce and MuleSoft integrations. The position requires an AI-native workflow, utilizing tools like Cursor and Claude Code to automate development and streamline business processes.
- Compensation
- Not disclosed
- Location
- Bangalore, India
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 12+ years
- Category
- Fullstack
- Posted
Skills
Must have
- 12+ years of professional full-stack software engineering experience
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field
- Proficiency in modern frontend technologies (JavaScript/TypeScript, HTML, CSS)
- Backend development experience (OOP, RESTful API design, databases/SQL, data modeling)
- Hands-on daily experience using AI-assisted coding tools (Cursor, Claude Code, Codex, GitHub Copilot)
- Solid grounding in software design patterns, SDLC, Agile, Git, and CI/CD
Nice to have
- Experience with Salesforce development (LWC, Apex, SOQL/SOSL, Flows)
- Experience with MuleSoft
Full description
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 — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.
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.