Sr. Salesforce DevOps Engineer - Elastic

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.