Senior AI DevOps & Reliability Engineer

Branch Metrics; United States; Remote; USD 86,000 - 112,000; Full time

Job summary

Branch is hiring a Senior AI DevOps & Reliability Engineer to own how software ships and runs at Branch. This DevOps-first role builds delivery platforms, CI/CD pipelines, and deployment automation, while strengthening alerting and SLO practices across teams.

You will work embedded with an engineering team, modernizing environments and driving platform standards. AI-driven delivery, Terraform/CloudFormation IaC, and GitHub Actions experience are key for success.

Qualifications

• 7+ years in DevOps, platform, or infrastructure engineering.
• Strong hands-on Kubernetes and AWS experience.
• Deep IaC experience (Terraform and/or CloudFormation).
• Proven CI/CD architecture experience: pipelines, quality gates, release automation.
• Experience with GitHub Actions for automated, repeatable deployments.
• Experience managing SQL and NoSQL datastores at high volume.
• Scripting and automation skills (Python, Go, Bash, or similar).
• Working knowledge of observability stacks.
• Strong collaborator, comfortable driving alignment across teams.
• Comfortable building practices from scratch in a fast-paced environment.

Responsibilities

• Design and expand deployment automation for on-demand and continuous releases.
• Establish release practices: progressive delivery, rollback, tracking.
• Extend automation deeper into production paths to reduce manual toil.
• Define and evolve CI/CD pipeline standards and guardrails.
• Design environments across teams, spun up per branch or PR and torn down after.
• Build with AI to set the standard for AI in DevOps and delivery agents.
• Champion IaC (Terraform, CloudFormation) and GitHub Actions for deployments.
• Partner with engineering teams on alerting and SLO practices; runbooks owned by teams.
• Embed with assigned eng team day-to-day on infrastructure and reliability.
• Own the DORA metrics framework and mature measurement over time.

Skills

AI-first mindset

Deployment automation design

Scripting/Automation

Observability

Cross-team collaboration

Rapid delivery

Infrastructure as code mindset

Tools

Kubernetes

AWS

Terraform

CloudFormation

GitHub Actions

Claude Code

Job description

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.

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.

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.

About The Group

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.

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.

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.

What You’ll Do

• Design and expand deployment automation, advancing the org toward on-demand and continuous production releases
• Establish release practices and standards: progressive delivery, rollback, release tracking, deployment inventory teams can trust
• Extend automation deeper into production paths, reducing manual steps and release toil
• Define and evolve CI/CD pipeline standards, guardrails, quality gates, release tracking
• Design and improve dev, staging, and on-demand environments across teams, spun up per branch or PR and torn down after
• 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
• Champion Infrastructure as Code (Terraform, CloudFormation) and CI/CD workflows via GitHub Actions for secure, repeatable, scalable deployments
• Partner with engineering teams on alerting and SLO practices; runbooks and incident response are owned by the engineering teams themselves
• Partner with engineering teams on the operational practices that keep their services healthy at high volume
• Embed with an assigned eng team day-to-day on infrastructure, deployment, and reliability work; mentor engineers, build team capability
• Own the DORA metrics framework (lead time, deployment frequency, change failure rate, MTTR); establish baselines, mature measurement over time
• Partner with eng leadership on the delivery roadmap; drive cross-team adoption of standards and tooling

What We’re Looking For

• 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.
• 7+ years in DevOps, platform, or infrastructure engineering, ideally in fast-scaling environments
• Strong hands-on Kubernetes and AWS experience
• Deep IaC experience (Terraform and/or CloudFormation), able to set IaC standards for other teams
• Proven CI/CD architecture experience: pipelines, quality gates, release automation
• Experience with GitHub Actions (or similar CI/CD tooling) for automated, repeatable deployments
• Experience managing SQL and NoSQL datastores at high volume
• Solid scripting and automation skills (Python, Go, Bash, or similar)
• Working knowledge of observability stacks
• Strong collaborator, comfortable driving alignment across teams without authority
• Comfortable building practices from scratch in a fast-paced environment

What Success Looks Like

• Teams ship on demand — merge to prod in hours, no tickets, no waiting on you. Deploy frequency up a tier.
• Faster without breaking — lead time and MTTR down while change-failure rate holds flat.
• Platform does the work — safe path is the easy path; manual release steps trending to zero; envs self-service in minutes.
• AI is in the ops loop — runbooks, alerting, incident response AI-assisted; patterns other teams reuse unprompted.
• Capability sticks — embedded team owns its own deploy and reliability work after you rotate off.
• Health is visible — DORA metrics instrumented for teams and leadership; roadmap driven by data.

This role is 100% remote in Canada. This role does not qualify for relocation or visa sponsorship.

In accordance with applicable law, the following represents a reasonable estimated compensation range for this role: the estimated pay range for this role, if based in Canada is 123,000 CAD to 160,000 CAD. Please note that this information is provided for those hired in Canada only. Compensation for candidates outside of Canada will be based on the candidate’s specific work location. Actual compensation will be determined based on skills, experience, and geographic location and may be more or less than the amount shown above. This role additionally includes a 10% annual bonus tied to company goals.

The salary range provided represents base compensation and does not include potential equity, which is available for qualifying positions. At Branch, we are committed to the well-being of our team by offering a comprehensive benefits package. From health and wellness programs to paid time off and retirement planning options, we provide a range of benefits for qualified employees. For detailed information on the benefits specific to your position, please consult with your recruiter.

Branch is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

At Branch, we strive to create an inclusive culture that encourages people from all walks of life to bring their unique, diverse perspectives to work. We aim every day to build an environment that empowers us all to do the best work of our careers, and we can’t wait to show you what we have to offer!

A little bit about us:

Branch is the leading provider of engagement and performance mobile SaaS solutions for growth-focused teams, trusted to maximize the value of their evolving digital strategies. The Branch platform provides a seamless experience across paid and organic, on all channels and platforms, online and offline, to eliminate friction and drive valuable action at the moments of highest intent. With Branch, businesses gain accurate mobile measurement and insights into user interactions, enabling them to drive conversions, engagement, and more intelligent marketing spend.

Branch is an award-winning employer headquartered in Mountain View, CA. World-class brands like Instacart, Western Union, NBCUniversal, Zocdoc and Sephora acquire users, retain customers and drive more conversions with Branch.

Candidate Privacy Information:
For more information on the data that Branch will collect throughyour application, and how we use, share, delete, and retain that information as part of our recruitment and employmentefforts, please see our HR Privacy Policy.