DevOps / AgentOps Engineer, GTM Systems

About the role

We are hiring a DevOps / AgentOps engineer to build and run an AI-first CI/CD pipeline covering both Salesforce and custom application code. This release pipeline will support three modes: fully agentic, human-in-the-loop, and AI-assisted. You will work closely with a team of business systems analysts, software engineers, and integration engineers to develop the solution to accelerate their everyday work.

Key responsibilities

• Design, build, and operate the CI/CD pipeline for a production Salesforce org and a portfolio of custom internal applications, from branching and validation through deploy and rollback
• Define how a change is classified and routed into an agentic, human-in-the-loop, or AI-assisted lane, what gates each lane passes through, and how a change escalates between lanes when validation fails or risk changes
• Build the agent operations layer: what agents are scoped to do in the pipeline, what tools and permissions they hold, how they are sandboxed differently for Salesforce and custom-app work, and what they are not trusted to do unsupervised
• Implement approval workflows that keep PR review and business sign-off as distinct gates, with clear rules for which changes need which, who is asked, and what evidence they see
• Own environment strategy, secrets handling, deploy observability, and kill-switch and rollback mechanics across all three lanes
• Produce the audit trail and evidence a SOX-scoped platform needs
• Measure and report on the pipeline itself: lead time, failure rate, share of work moving through each lane, and where humans are still doing work an agent should be doing
• Pair with engineers on the team as they move onto the pipeline, and turn what you learn from them into better defaults

Minimum qualifications

• Have built and run a CI/CD pipeline for a team, including the branching model, merge gating, and rollback path, and can explain the choices you made and what you would change
• Have hands-on experience with Salesforce deployment mechanics (metadata API, source-tracked development, org-to-org promotion) or a comparable enterprise platform
• Work fluently with AI coding tools and agentic workflows, and have opinions about which kinds of engineering work belong in the hands of an agent, which need a human review, and where the boundaries are
• Design for the failure case: you think about blast radius, sandboxing, permissions, and what happens when an automated change is wrong before you think about the happy path
• Are comfortable working across GitHub Actions or a comparable CI system, infrastructure as code, and the scripting needed to glue platforms together
• Write clear design documents and can defend a design to engineers, business approvers, and auditors in language each of them will accept

Preferred qualifications

• Have shipped agents or automation that operate inside a production system of record, and have dealt with what happens when they misbehave
• Have operated a platform under SOX or a similar audit regime and know what evidence a change-management control actually requires
• Have experience with Salesforce DevOps tooling (Gearset, Copado, sfdx-based pipelines) and know where those tools stop and custom work begins
• Have run a migration from ad hoc or manual deploys to a governed pipeline and can talk about how you kept a team shipping while you did it
• Have built approval or notification workflows in Slack or a comparable tool that people actually used

The annual compensation range for this role is $320,000-$405,000 USD.