As a DevOps Infrastructure Team Lead, you will:
- Lead, mentor and grow a team of DevOps and Infrastructure engineers, providing technical direction and fostering ownership and continuous improvement
- Own the core architecture, development and operation of the dev and production infrastructure and self-hosted AI environments, including on-premises GPU infrastructure
- Lead Kubernetes-based infrastructure end to end, including system design, development, deployment, operations, troubleshooting and lifecycle management
- Define infrastructure platform standards, best practices and engineering methodologies
- Own the DevOps toolchain, including DevOps tools and monitoring\logging platforms
- Partner closely with engineering teams to enable delivery and solve complex platform and infrastructure challenges
- Evaluate and introduce new technologies through POCs and technical assessments
- Drive incident resolution, root-cause analysis and continuous improvement of platforms and infrastructure services
If you have:
- At least 5 years of hands-on experience in DevOps engineering
- At least 2 years of experience in managing, leading or mentoring engineers
- Proven ability to design, manage and maintain highly scalable production systems
- Hands-on production experience with Kubernetes, including deployment, operations, troubleshooting and platform management
- Strong experience with Terraform, Ansible and Helm
- Prometheus, Grafana, and ELK or similar monitoring, observability and logging stacks
- Strong programming/scripting skills in Python, Go, Ruby, Java, PowerShell or Bash
- Experience with GitOps practices and tools such as Argo CD
- Strong technical leadership, problem-solving and communication skills
- A proactive, independent and hands-on approach, with a passion for learning and tackling complex challenges
It would be great if you also have:
- Experience managing on-prem GPU infrastructure for AI/ML environments
- Strong knowledge of networking fundamentals
- Experience defining technical strategy, architecture and infrastructure roadmaps
- Experience with highly available, large-scale or security-sensitive environments