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DeleteMe

Devops Team Lead

Boston, USAOn-sitePosted 1 week ago

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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.