Elastic
Sr. Salesforce DevOps Engineer
$94K–$179K
United States · Senior · Full-time · Posted Sep 18, 2026
- Experience
- 5+ years of full-stack software engineering experience across frontend, backend, APIs, and data modeling.
- Education
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
- Visa sponsorship
- An export license may be required as a condition of employment for individuals located in or nationals of the listed sanctioned countries or regions.
About the job
Owns Salesforce platform development and release engineering, delivering reliable business solutions and CI/CD operations across Salesforce and related enterprise platforms.
What you'll do
- Lead DevOps and release operations, including GitHub administration, automation, CI/CD, sandbox management, backup strategies, and release governance.
- Build Salesforce features across UI, APIs, business logic, data models, and integrations; develop technical solutions for Certinia PSA and CPQ/ARM.
- Use AI coding tools across the SDLC, oversee their outputs, and establish deployment gates and release-health telemetry.
What they ask for
- Expertise in Salesforce platform development and enterprise Git workflows, automation, GitHub Actions, and CI/CD pipelines.
- Daily proficiency with AI-assisted coding tools.
- Knowledge of software design patterns, SDLC, sandbox lifecycle management, and metadata deployment.
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field; required certifications include Platform Developer I and II, Platform Administrator I and II, Platform App Builder, Copado, and Certinia PSA Administrator.
Nice to have
- Hands-on experience with Copado or Gearset.
- Experience with Certinia PSA, Salesforce CPQ, and/or Revenue Cloud (ARM); Salesforce Development Lifecycle and Deployment Architect certification.
Pay
$94,300 — $149,200 USD (base salary); $113,300 — $179,200 USD (base salary)
Tools
Salesforce, GitHub Actions, LWC, Apex, SOQL/SOSL, Flows, REST, Cursor
AI focus
Use AI-assisted coding tools, including Cursor, Claude Code, Codex, and GitHub Copilot, for scaffolding, refactoring, and debugging throughout the SDLC, with oversight of code quality and security.
Model-written summary · the original posting is authoritative