Sr. Salesforce DevOps Engineer

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.

Elastic is looking for a Sr. Salesforce Engineer & DevOps 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.

Responsibilities

• DevOps & Release Engineering: Lead end-to-end DevOps 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.

Requirements

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

Benefits

• 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 match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave