Sr. Salesforce DevOps EngineerPosted today$825K

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

  • Dev Ops & Release Engineering: Lead end-to-end Dev Ops operations, including GitHub administration, git automation, branching strategies, CI/CD pipeline optimization, scratch org/sandbox management, backup strategies, and release governance.

  • Full-Stack Salesforce Development: Design and build full-stack features—UI, APIs, business logic, data models, and integrations—using LWC, Apex, SOQL/SOSL, Flows, and modern REST/event-driven patterns.

  • Core Business Platforms: Drive technical design and development across Certinia PSA, CPQ/ARM, and cross-functional enterprise initiatives.

  • AI-Native Engineering: Utilize AI tools (Cursor, Claude Code, Codex, GitHub Copilot) throughout the SDLC while maintaining strict oversight, code quality, and security on AI outputs.

  • Quality & Deployment Control: Establish robust deployment gates and build telemetry to monitor pipeline efficiency and release health.

  • Experience: 5+ years of full-stack software engineering experience across: frontend, backend, APIs, and data modeling.

What they're looking for

  • Salesforce & Dev Ops Depth: Proven expertise in Salesforce platform development alongside deep experience managing Git workflows, advanced git automation, branching strategies, GitHub Actions, and CI/CD pipelines for enterprise deployments.
  • AI Tooling: Daily proficiency using AI-assisted coding tools to accelerate: scaffolding, refactoring, and debugging.
  • Architecture & Delivery: Solid knowledge of software design patterns, SDLC, sandbox lifecycle management, and metadata deployment mechanics.
  • Education: Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.