Senior AI DevOps & Reliability Engineer

About this role

<div class="content-intro"><p>At Branch, we power every touchpoint with links that work and insights that prove it. From click to conversion, we make growth measurable. Our unparalleled attribution, backed by AI-enhanced linking, is trusted to deliver seamless experiences that increase ROI, decrease wasted spend, and eliminate siloed attribution.</p> <p>We bring the same rigor to how we build our team, by empowering our people to move fast, own outcomes, and build something that matters. We take pride in making meaningful investments in our team’s health, wealth, and growth so individuals can thrive as we scale. Our culture values smart, humble, and collaborative teammates who take accountability and drive results in an environment where their work truly moves the business forward.</p> <p>We are innovative, scaling with purpose, and led by seasoned leaders who know how to build enduring companies. Trusted by brands like Instacart, Western Union, NBCUniversal, ZocDoc, and Sephora, we’re big enough to matter, small enough for you to make a real impact. If you’re excited by the grit of building, rapid learning, and shaping the future of customer growth, you’ll find your place here.</p></div><h3><strong>About The Group</strong></h3> <p>We're hiring a Senior AI DevOps & Reliability Engineer to own how software ships and runs at Branch. This is a DevOps-first role: you'll build and operate our delivery platform, CI/CD pipelines, deployment automation, environments, so teams can release safely, frequently, and on demand. In addition, you'll strengthen alerting and SLO practices across teams.</p> <p>You'll bring an AI-first mentality to how delivery gets built. We want someone who reaches for AI tools like Claude Code to set up pipelines, build frameworks, and establish standards, not someone who defaults to doing things manually and treats AI as an afterthought. You'll develop delivery agents, skills, and automation that other teams can reuse.</p> <p>You'll work embedded with an engineering team day-to-day on their infrastructure and delivery practices, while also driving platform standards centrally. You'll partner directly with engineering leadership to shape the delivery roadmap.</p> <h3><strong>What You'll Do</strong></h3> <ul> <li>Design and expand deployment automation, advancing the org toward on-demand and continuous production releases</li> <li>Establish release practices and standards: progressive delivery, rollback, release tracking, deployment inventory teams can trust</li> <li>Extend automation deeper into production paths, reducing manual steps and release toil</li> <li>Define and evolve CI/CD pipeline standards, guardrails, quality gates, release tracking</li> <li>Design and improve dev, staging, and on-demand environments across teams, spun up per branch or PR and torn down after</li> <li>Build with AI, not just alongside it: develop delivery agents, Claude Code skills, and automation that set the standard for how the org uses AI in DevOps</li> <li>Champion Infrastructure as Code (Terraform, CloudFormation) and CI/CD workflows via GitHub Actions for secure, repeatable, scalable deployments</li> <li>Partner with engineering teams on alerting and SLO practices; runbooks and incident response are owned by the engineering teams themselves</li> <li>Partner with engineering teams on the operational practices that keep their services healthy at high volume</li> <li>Embed with an assigned eng team day-to-day on infrastructure, deployment, and reliability work; mentor engineers, build team capability</li> <li>Own the DORA metrics framework (lead time, deployment frequency, change failure rate, MTTR); establish baselines, mature measurement over time</li> <li>Partner with eng leadership on the delivery roadmap; drive cross-team adoption of standards and tooling</li> </ul> <h3><strong>What We're Looking For</strong></h3> <ul> <li>AI-first mentality: you use AI tools (Claude Code, agents) to build frameworks and standards, not just to speed up individual tickets. You develop delivery agents and skills, not just consume them.</li> <li>7+ years in DevOps, platform, or infrastructure engineering, ideally in fast-scaling environments</li> <li>Strong hands-on Kubernetes and AWS experience</li> <li>Deep IaC experience (Terraform and/or CloudFormation), able to set IaC standards for other teams</li> <li>Proven CI/CD architecture experience: pipelines, quality gates, release automation</li> <li>Experience with GitHub Actions (or similar CI/CD tooling) for automated, repeatable deployments</li> <li>Experience managing SQL and NoSQL datastores at high volume</li> <li>Solid scripting and automation skills (Python, Go, Bash, or similar)</li> <li>Working knowledge of observability stacks</li> <li>Strong collaborator, comfortable driving alignment across teams without authority</li> <li>Comfortable building practices from scratch in a fast-paced environment</li> </ul> <h3><strong>What Success Looks Like</strong></h3> <ul> <li>Teams ship on demand — merge to prod in hours, no tickets, no waiting on you. Deploy frequency up a tier.</li> <li>Faster without breaking — lead time and MTTR down while change-failure rate holds flat.</li> <li>Platform does the work — safe path is the easy path; manual release steps trending to zero; envs self-service in minutes.</li> <li>AI is in the ops loop — runbooks, alerting, incident response…