Engineering Manager, DevOps - loopreturns

About the Role We're hiring a DevOps Engineering Manager who can lead a top-tier team of five: someone who stays deeply technical and hands-on, owns infrastructure and pipeline delivery, and brings a clear, data-backed point-of-view to how DevOps @ Loop evolves. This role exists to make everyone else's work possible, from product and platform engineering to our data team, merchant support, and third-party vendors. You're not just supporting our product; you're setting the ceiling on how fast, reliably, and confidently we can deliver value to our customers. You'll lead the team that owns product infrastructure, our pipeline delivery, and internal tools. Our immediate focus is progressive delivery: enabling engineers to ship, observe, recover, and roll back their own code independently. We're maturing our DevOps platform alongside the company's growth, including multi-region architectures and building an internal platform where autonomous AI agents can safely build features and review code. You'll be responsible for building a roadmap that turns our growth into concrete milestones, and then leading the team that will get us there. At least 50% of your time stays hands-on keyboard: writing Terraform, tuning our Kubernetes clusters, and debugging production incidents. Our Blended Work Environment At Loop, we’re intentional about the way we work so that we can do our best work. We call this our Blended Working Environment. We work from our HQ in Columbus, OH, or one of our Hub or Secluded locations, and are distributed throughout the United States, select Canadian provinces, the United Kingdom, and Australia. For this position, we’re looking for someone to join us in Columbus, OH or fully remote. Our Tech Stack AWS (AKS, Redis, Aurora, DynamoDB, S3), Terraform, Kubernetes, Docker, GitLab, Airflow, Temporal, PHP/Laravel, Linux, Datadog, Snowflake, dbt

What You’ll Do:

• Drive self-service and automation at Loop by designing golden-path workflows (using Terraform and Kubernetes/Docker) so product teams can provision infrastructure, integrate monitoring (via Datadog), and release safely on their own through GitLab CI/CD.
• Champion the evolution of deployment patterns on Kubernetes, including blue/green, canary, feature-flag, and immutable-infra releases that minimize risk and Mean Time To Recovery (MTTR).
• Lead the strategy and execution for disaster recovery plans on AWS, including scaling to multi-region architectures, cross-region data replication (Aurora, DynamoDB, S3), and global traffic management.
• Implement Site Reliability Objectives (SLOs), error budgets, chaos testing, and auto-remediation playbooks in Datadog to raise the reliability bar, and own the infrastructure on-call rotation culture.
• Mentor and develop a diverse team of DevOps engineers, DBAs, and SecOps Engineers with a wide variety of technical skillsets, cultivating the next wave of engineering leaders.