Elastic

Lead Salesforce Full Stack AI Engineer

Elastic
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2 months ago
Bengaluru, IndiaStaff+

Responsibilities

  • Design, build, test, deploy, and support full-stack features spanning UI, APIs, business logic, data models, and integrations.
  • Develop modern frontend experiences and robust backend services using sound object-oriented and software design principles.
  • Use Cursor, Claude Code, Codex, GitHub Copilot, or similar AI-assisted development tools for scaffolding, refactoring, testing, debugging, and code review.
  • Design and implement REST API and event-driven enterprise integrations.
  • Build Salesforce solutions using Lightning Web Components, Apex, SOQL/SOSL, Flows, and the Salesforce security model.
  • Explore agentic and AI-powered features, workflow automation, and AI agents with appropriate governance and human-in-the-loop checks.
  • Own features through solution design, development, testing, deployment, and production support.
  • Contribute to automated testing, CI/CD, code reviews, Agile ceremonies, and improvements to engineering practices.
  • Streamline revenue processes, eliminate manual work, and improve platform reliability and scalability.

Requirements

  • 12+ years of professional full-stack software engineering experience across frontend, backend, APIs, and data.
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical discipline.
  • Proficiency with JavaScript or TypeScript, HTML, CSS, modern frontend frameworks, object-oriented backend development, REST API design, databases, SQL, and data modeling.
  • Daily hands-on experience with AI-assisted coding tools such as Cursor, Claude Code, Codex, GitHub Copilot, or similar, including evaluating generated code for correctness, security, and performance.
  • Experience with software design patterns, Git, CI/CD practices, automated testing, and software development lifecycle practices.
  • Ability to independently design and deliver scalable technical solutions and diagnose complex technical problems.
  • Strong communication and cross-functional collaboration skills.
  • Ability and interest to quickly learn platforms such as Salesforce and MuleSoft.
  • Interest in applying AI to automation, decision support, and smarter business workflows.

Benefits

  • Distributed work with flexible locations and schedules for many roles.
  • Health coverage for employees and families in many locations.
  • Generous vacation days.
  • Elastic matches up to $2,000, or local currency equivalent, for financial donations and service.
  • Up to 40 hours annually for volunteer projects.
  • At least 16 weeks of parental leave.
Elastic

About Elastic

10,000+ employees

Elastic builds the Elasticsearch-based platform for enterprise search, observability (logging, metrics, APM), and security (SIEM/endpoint). It sells subscriptions and Elastic Cloud managed services with usage-based pricing, combining open source and proprietary features through Elasticsearch and Kibana. Founded in 2012 and headquartered in San Francisco, Elastic is publicly traded on the NYSE and is used by more than half of the Fortune 500.

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