Lead a team of DevOps and SRE engineers to own infrastructure, CI/CD pipelines, and progressive delivery on AWS and Kubernetes. Hands-on role (50% time) building self-service platforms, multi-region architectures, SLOs, and observability with Datadog while mentoring the team and partnering with product and data organizations. Requires 7+ years infrastructure experience and 2+ years leading DevOps/SRE teams.
150k – 190k/yr
Remote7+ YOEEngineering Management
About the role
What You’ll Do
Drive self-service and automation by designing golden-path workflows using Terraform and Kubernetes/Docker so product teams can provision infrastructure, integrate monitoring via Datadog, and release safely 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 MTTR.
Lead strategy and execution for disaster recovery on AWS, including multi-region architectures, cross-region data replication (Aurora, DynamoDB, S3), and global traffic management.
Implement SLOs, error budgets, chaos testing, and auto-remediation playbooks in Datadog to raise reliability; own the infrastructure on-call rotation culture.
Mentor and develop a team of DevOps engineers, DBAs, and SecOps Engineers, cultivating the next wave of engineering leaders.
Partner with Product Engineering, Data Team (Airflow, Snowflake, dbt), and stakeholders to align roadmaps and unlock velocity.
Contribute hands-on: writing Terraform modules, optimizing Helm charts on Kubernetes, reviewing merge requests in GitLab, supporting Linux infrastructure, and joining high-severity incident calls.
Your Experience
2+ years of DevOps leadership managing DevOps or SRE teams.
7+ years in hands-on platform or infrastructure roles.
Strong self-service track record delivering internal platforms that empowered hundreds of engineers to ship autonomously.
Large-scale AWS expertise designing and operating multi-region, high-throughput systems supporting over $100M in annual GMV.
Expert in advanced CI/CD pipelines and IaC, proficient with GitLab CI, Terraform, Kubernetes; experienced introducing progressive delivery, policy-as-code, and secrets management at scale.
Deep understanding of metrics, tracing, logging, and alerting with observability mindset (Datadog or similar).
Familiar with cloud security best practices, least-privilege access, and regulated-data environments (PCI, SOC 2, GDPR).
Empathetic leadership fostering psychological safety, inclusion, continuous feedback, accountability, and high performance.
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