Lead Salesforce Full Stack AI Engineer
Elastic · Posted Oct 1
Search, observability, security, and analytics platform services
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About the role
Elastic, the Search AI Company, builds the Elastic Search AI Platform — used by more than 50% of the Fortune 500 — which unites the precision of search with AI across structured and unstructured data, with cloud-based solutions for search, security, and observability. This role is a Lead Salesforce Full Stack AI Engineer who pairs deep architectural intuition, clean coding, and debugging skills with an AI-native workflow across the entire stack. The engineer will design and ship full-stack features, build REST API and event-driven integrations, develop on Salesforce using LWC, Apex, SOQL/SOSL, and Flows where applicable, and build agentic and AI-powered automations that streamline critical revenue processes and scale platform architecture.
What you will do
- 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 used in this role
What the employer is looking for
- 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.
Preferred qualifications
- 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.
Benefits and support
- Competitive pay based on the work you do here and not your previous salary
- 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
- Increase your impact - 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
- Embracing parenthood with minimum of 16 weeks of parental leave
About Elastic
Elastic is a search AI company that builds self-managed and SaaS offerings for search, logging, security, observability, and analytics. Powered by the Elasticsearch platform, the company helps thousands of organizations worldwide transform massive volumes of data into actionable insights and real-time answers. Its modern search solutions are widely integrated across enterprise tech ecosystems to support advanced AI applications and automated security workloads.
- Industry
- Software
- Company size
- 5001-10000 employees
- Founded
- 2012
- Location
- Mountain View, California, USA
- Funding stage
- Public Company
Funding
Public Company · $162M raised
- 2012-11-01Series A$10M
- 2013-03-01Series B$24M
- 2014-06-05Series C$70M
Leadership
Chief Executive Officer
Founder and Chief Technology Officer
Chief Financial Officer
Recent coverage
Business Wire
Elastic N.V. Announces Organizational Restructuring and Leadership Changes2026-06-25
Business Wire
Elastic Names Navam Welihinda Chief Financial Officer2025-02-27
Elastic Investor Relations
Elastic Reports Strong Fourth Quarter and Fiscal 2025 Financial Results2025-06-04