Overview
Elastic is seeking a Sr. Salesforce DevOps Engineer to serve as the technical backbone of their Salesforce ecosystem, combining deep architectural expertise with AI-native development workflows. You will own the complete release lifecycle, manage GitHub administration and CI/CD pipelines, and drive full-stack Salesforce development across Certinia PSA, CPQ/ARM, and enterprise initiatives. This is a remote, full-time senior role for an engineer who thrives at the intersection of DevOps excellence and modern AI-assisted development.
Job Description
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. 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. What You Bring: 5+ years of full-stack software engineering experience across frontend, backend, APIs, and data modeling. 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. Daily proficiency using AI-assisted coding tools to accelerate scaffolding, refactoring, and debugging. Solid knowledge of software design patterns, SDLC, sandbox lifecycle management, and metadata deployment mechanics.