F
DevOps Team Lead
Not specifiedFull-timeDevOps & SREEnterprise Software
Lead the infrastructure team and roadmap for an enterprise AI platform, spanning cloud architecture, GPU-enabled Kubernetes, deployment practices, reliability, security, and cost management.
Responsibilities
- Lead and mentor DevOps engineers, supporting their technical development and collaboration
- Set the infrastructure roadmap and define cloud architecture and implementation
- Establish infrastructure development and operations standards and practices
- Partner with Engineering, Research, and field engineering teams to align infrastructure with business needs
- Evolve Kubernetes clusters for GPU workloads, production SaaS, and enterprise deployment models
- Promote GitOps-based continuous deployment and infrastructure-as-code standards
- Set monitoring and observability strategy for distributed systems
- Work with ML engineers to optimize model training and serving infrastructure
- Own infrastructure reliability, performance, and security
- Implement cloud cost optimization strategies
Requirements
- At least 7 years of cloud infrastructure and DevOps experience, including 5 years in technical leadership
- Experience building and leading infrastructure teams
- Strong experience with AWS, GCP, and Azure
- Advanced Kubernetes experience, including multi-cluster management, GPU workload optimization, resource scheduling, autoscaling, network policies, and security
- Extensive cloud networking experience, including VPC design, load balancers, network security, segmentation, and cross-cloud networking
- Strong CI/CD experience; GitHub Actions preferred
- Proficiency with Terraform and GitOps tools; ArgoCD preferred
- At least 3 years of Python experience
- Experience with monitoring and observability tools, FinOps, and cloud cost optimization
- Strong communication skills, including explaining technical concepts to varied audiences
Nice to have
- Experience with ML workflow tools such as MLflow or Kubeflow
- Experience with FastAPI and backend applications
- Familiarity with Databricks, Snowflake, or similar data platforms
- SRE experience or cloud security certifications
- Hands-on experience with Prometheus, Grafana, or Datadog
Benefits
- Competitive compensation with salary and equity
- Health coverage for employees and dependents
- Paid parental leave, including for adoptive and surrogate parents
- Relocation support for employees moving to an office location
- A diverse, ownership-oriented, low-ego culture