Engineering Manager, DevOps

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.
• 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.

Your experience

• 2+ years of DevOps leadership managing DevOps or Site Reliability Engineering (SRE) teams.
• 7+ years in hands-on platform or infrastructure roles.
• You have a strong self-service track record, having delivered internal platforms or portals that empowered hundreds of engineers to ship autonomously.
• You bring 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).
• An 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.
• You exhibit empathetic leadership, with demonstrated success fostering psychological safety, inclusion, and continuous feedback while driving accountability and high performance.