What's the salary range?

Elastic lists $94,300–$149,200 for this role.

How much experience is required?

At least 5 years of relevant experience for this Sr. Salesforce DevOps Engineer role.

What's the tech stack?

Joblaze extracted these technologies from the posting: AI, Apex, CI/CD, GitHub, LWC, REST.

What seniority level is this role?

Elastic targets senior candidates for this position.

Is this full-time or contract?

Full-time for this Sr. Salesforce DevOps Engineer role at Elastic.

Sr. Salesforce DevOps Engineer at Elastic

Joblaze summary

In this role, the Sr. Salesforce DevOps Engineer at Elastic is responsible for managing the Salesforce ecosystem, overseeing the release lifecycle, and optimizing CI/CD pipelines. The position requires expertise in Salesforce development, Git workflows, and AI-assisted coding tools, with a focus on full-stack development and deployment strategies. Ideal candidates will have over five years of experience in software engineering and a strong background in Salesforce and DevOps practices. The role is suited for adaptable engineers who thrive in complex environments and are keen on elevating engineering standards.

Joblaze insights

Listed today — first seen on Joblaze September 20, 2026. Last confirmed on Elastic's careers page September 20, 2026.
Salary band is below the typical range for DevOps/SRE roles (median ~$165,000).
Starts above 8% of 13 comparable senior devops/sre roles in United States that list CI/CD we track (median $153,000 across 10 companies). See CI/CD salary trends
CI/CD appears in 14.3% of 182 comparable senior devops/sre roles in United States; REST appears in 1.1% of 182 comparable senior devops/sre roles in United States.

Quick facts

What's the salary range?: Elastic lists $94,300–$149,200 for this role.
How much experience is required?: At least 5 years of relevant experience for this Sr. Salesforce DevOps Engineer role.
What's the tech stack?: Joblaze extracted these technologies from the posting: AI, Apex, CI/CD, GitHub, LWC, REST.
What seniority level is this role?: Elastic targets senior candidates for this position.
Is this full-time or contract?: Full-time for this Sr. Salesforce DevOps Engineer role at Elastic.

From the original posting

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.

$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

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