Engineering Manager, DevOps

Loop•Columbus, OH

16d•Hybrid

About The Position

We're hiring a DevOps Engineering Manager to lead a top-tier team of five. This role requires 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'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.

Requirements

2+ years of DevOps leadership managing DevOps or Site Reliability Engineering (SRE) teams.
7+ years in hands-on platform or infrastructure roles.
Strong self-service track record, having delivered internal platforms or portals that empowered hundreds of engineers to ship autonomously.
Large-scale AWS expertise, demonstrated by designing and operating multi-region, high-throughput systems that support over $100 million in annual Gross Merchandise Value (GMV).
Expert in advanced CI/CD pipelines and Infrastructure as Code (IaC), proficient with tools like GitLab CI (or similar), Terraform, and Kubernetes, and comfortable introducing progressive delivery, policy-as-code, and secrets management at scale.
Deep understanding of metrics, tracing, logging, and alerting, reflecting an observability mindset, with experience using Datadog or comparable stacks.
Familiar with cloud security best practices, least-privilege access, and regulated-data environments such as PCI, SOC 2, and GDPR, demonstrating security and compliance awareness.
Empathetic leadership, with demonstrated success fostering psychological safety, inclusion, and continuous feedback while driving accountability and high performance.

Responsibilities

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.
Partner hand-in-hand with Product Engineering Teams, our Data Team (Airflow, Snowflake, dbt), and other stakeholders to align roadmaps and unlock velocity.
Contribute hands-on by writing Terraform modules, optimizing Helm charts on Kubernetes, reviewing merge requests in GitLab, helping support the team with reactive work across our Linux infrastructure, and joining high-severity incident calls when needed.