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.
Salary not listed
Remote7+ YOEEngineering Management
About the role
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
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