DevOps Team Lead
Leads DevOps team to architect cloud infrastructure, manage Kubernetes for GPU/ML workloads, implement IaC with Terraform and GitOps via ArgoCD. Requires 7+ years DevOps experience including 3+ in leadership, multi-cloud expertise, and strong CI/CD skills.
About the job
Key Responsibilities
- Lead and mentor a team of DevOps engineers, fostering technical growth and collaboration
- Define and drive the infrastructure roadmap aligned with company objectives
- Architect and oversee cloud infrastructure design and implementation
- Establish best practices, standards, and processes for infrastructure development and operations
- Partner with Engineering, Research, and FDE to align infrastructure capabilities with business needs
- Drive the evolution of Kubernetes clusters optimized for GPU workloads, Production SaaS hosting and varied enterprise deployment models
- Champion GitOps practices using ArgoCD for continuous deployment
- Establish infrastructure as code standards using Terraform
- Define monitoring and observability strategy for distributed systems
- Collaborate with ML engineers to optimize infrastructure for model training and serving
- Own infrastructure reliability, performance, and security posture
- Implement and maintain cost optimization strategies (FinOps) for cloud resources
Must Have
- 7+ years of experience in cloud infrastructure and DevOps, with 3+ years in a technical leadership role
- Proven track record of building and leading high-performing infrastructure teams
- Strong experience with AWS, GCP and Azure
- Deep expertise in Kubernetes, including multi-cluster management, GPU workload optimization, resource scheduling and autoscaling, and network policies and security
- Extensive experience with cloud networking, including VPC design, load balancer configuration, network security and segmentation, and cross-cloud networking solutions
- Strong CI/CD expertise, preferably with GitHub Actions
- Proficiency in Terraform
- Proficiency with GitOps tools (ArgoCD preferred)
- 3+ years of experience with Python
- Experience with monitoring and observability tools
- Experience with FinOps practices and cloud cost optimization
- Excellent communication skills with ability to translate technical concepts for diverse audiences
Nice to Have
- Experience with ML workflow tooling (MLflow, Kubeflow, or similar)
- Experience with FastAPI and backend applications
- Familiarity with data platforms like Databricks or Snowflake
- SRE practices experience or cloud security certifications
- Hands-on experience with Prometheus, Grafana, or Datadog
Benefits
- Competitive compensation with salary and equity
- Comprehensive health coverage, including medical, dental, vision, and 401K
- Paid parental leave for all new parents, inclusive of adoptive and surrogate journeys
- Relocation support for employees moving to join the team in one of our office locations
Skills
Kubernetes, AWS, GCP, Azure, Terraform, Argo CD, GitHub Actions, Python, GitOps, Finops, Prometheus, Grafana, Datadog, MLflow, Kubeflow
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