Sr. Salesforce DevOps Engineer

Role details

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 precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role Elastic is looking for a Sr. Salesforce Engineer & Dev Ops Specialist who combines deep architectural intuition, clean coding, and sharp debugging skills with an AI-native workflow (Cursor, Claude Code, Codex). You will serve as the technical backbone of our Salesforce ecosystem—owning the release lifecycle, managing GitHub administration, git automation, and CI/CD pipelines, while facilitating engineering practices across Certinia PSA, CPQ/ARM, AI initiatives, and cross-functional enterprise projects. Balancing hands-on platform development with release engineering, you will streamline revenue processes and scale architecture to deliver high-quality, reliable production solutions. What You Will Be Doing 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. What You Bring Experience: 5+ years of full-stack software engineering experience across frontend, backend, APIs, and data modeling. 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. Bonus Points Specialized Tools: Hands-on experience with native Salesforce DevOps platforms (Copado, Gearset) Domain Expertise: Practical experience developing or administering Certinia PSA, Salesforce CPQ, and/or Revenue Cloud (ARM). Certifications: Salesforce Development Lifecycle and Deployment Architect. Also required are Platform Developer I, Platform Developer II, Platform Administrator I, Platform Administrator II, Platform App Builder, Copado, and Certinia PSA Administrator. Mindset: An AI-native, adaptable engineer who thrives on solving complex architectural puzzles and elevating team engineering standards. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is: $94,300 - $149,200 USD The typical starting salary range for this role in the select locations listed above is: $113,300 - $179,200 USD Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We matc