- Job type
- Full-time
- Work mode
- On-site
- Level
- Lead
- Department
- Engineering
- Experience
- 5+ years experience
- Posted
- Sep 23, 2026
About the role
Role Overview:
We are seeking an experienced DevOps Team Lead to own the deployment, reliability, and operational excellence of our SaaS platform. Beyond core platform engineering, this role will play a key part in enabling AI experimentation across the company, providing the infrastructure, tooling, and operational support needed for teams to prototype, deploy, and scale AI-driven initiatives.
Responsibilities:
Platform Deployment & Reliability
- Own the deployment, availability, and performance of our SaaS platform on Google Cloud Platform (GCP)
- Design and maintain scalable, resilient infrastructure using OpenTofu (Terraform-compatible) as the standard for infrastructure-as-code
- Manage environment consistency across dev, staging, and production, ensuring repeatable and auditable infrastructure changes
AI Experimentation Support
- Serve as the operational backbone for AI experimentation across the organization, enabling teams to move quickly and reliably
- Act as a key enabler of the company's broader AI transformation, ensuring infrastructure and tooling keeps pace with evolving needs
Monitoring, Observability & Incident Response
- Own platform monitoring across GCP. Setting up dashboards, alerts, and logging pipelines to ensure full visibility into system health
- Lead incident response, triage, and post-mortems, driving systemic improvements over time
- Define and track SLOs/SLAs for platform reliability
Experience
- 5+ years in a DevOps or Site Reliability Engineering role
- Hands-on experience with Google Cloud Platform (GCP)
- Proficiency with OpenTofu or Terraform
- Familiarity with AI/ML workflows and supporting experimentation in a fast-moving environment
- Proven track record of leading complex technical projects and teams, demonstrating a high degree of autonomy.
- Strong ability to leverage AI-powered development environments to increase engineering velocity and efficiency.