The opportunity
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…
What you'll 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.
What they're looking for
- 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.
- + 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.