Lead Salesforce Full Stack AI Engineer

Elastic
Bengaluru
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 12+ yearsEducation: bachelorsSkills: ["Analytical problem-solving","Communication","Cross-functional collaboration","Ownership mindset","Debugging"]

Design, build, and ship full-stack Salesforce solutions end-to-end, including UI, APIs, business logic, data models, and integrations. Develop frontend experiences with component-based UI and robust backend services, leveraging REST APIs and event-driven patterns. Use AI-assisted coding tools across the SDLC while maintaining engineering rigor, and own features through design, testing, deployment, and production support. Help scale platform architecture and automate manual revenue processes with appropriate governance.

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FursaFursa
Elastic
Elastic
4 days ago

Lead Salesforce Full Stack AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Design, build, and ship full-stack Salesforce solutions end-to-end, including UI, APIs, business logic, data models, and integrations. Develop frontend experiences with component-based UI and robust backend services, leveraging REST APIs and event-driven patterns. Use AI-assisted coding tools across the SDLC while maintaining engineering rigor, and own features through design, testing, deployment, and production support. Help scale platform architecture and automate manual revenue processes with appropriate governance.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, build, and ship full-stack features end-to-end (UI, APIs, business logic, data models, and integrations) with maintainable, well-tested code.
  • •Build modern frontend experiences and robust backend services and APIs using sound object-oriented and software design principles.
  • •Use AI-assisted development tools throughout the SDLC for scaffolding, refactoring, test generation, debugging, and code review while maintaining engineering rigor.
  • •Design and implement integrations using REST APIs, event-driven patterns, and enterprise integration practices.
  • •Own features end-to-end through solution design, development, testing, deployment, and production support, contributing to CI/CD and automated testing.

Pay and Benefits

Perks:Health InsurancePaid LeaveParental Leave

Key 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 related technical discipline.
  • •Proficiency in modern frontend technologies (JavaScript/TypeScript, HTML, CSS, modern frameworks) and backend development (OOP, RESTful API design, databases/SQL, data modeling).
  • •Hands-on daily experience using AI-assisted coding tools (Cursor, Claude Code, Codex, GitHub Copilot or similar), with the ability to evaluate AI output for correctness, security, and performance.
  • •Solid grounding in software design patterns, SDLC, Agile methodologies, Git, and CI/CD practices.
Experience:12+ yearsAI-assisted developmentEnterprise integrationsSalesforce
Education:Bachelor's in Computer Science, Engineering, Information Systems, or a related technical discipline
Skills:Analytical problem-solvingCommunicationCross-functional collaborationOwnership mindsetDebugging
Languages:English
Tech Stack:CursorClaude CodeCodexGitHub CopilotSalesforceMuleSoftLightning Web ComponentsLWCApexSOQLSOSLFlowsREST APIsEvent-driven patternsJavaScriptTypeScriptHTMLCSSCI/CDGit

Company Brief

Elastic
Builds the Elastic Stack (Elasticsearch, Kibana, Beats, Logstash) and provides search, observability, and security solutions that enable organizations to search, analyze, and protect data in real time across applications, infrastructure, and enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Amsterdam, Netherlands
Founded: 2012
WebsiteLinkedIn