DevOps Team Lead

DeleteMe • Boston, MA

2d

About The Position

DeleteMe is the leader in proactive privacy protection. We help Individuals, Families, Businesses and Security teams reduce their human attack surface by continuously monitoring and removing exposed personal data (PII) from the open web — the very data threat actors use to launch social engineering, phishing, Gen-AI deepfake, doxxing campaigns, physical threats, and identity fraud. Operating as a fast-growing, global SaaS company, DeleteMe serves both consumers and enterprises. DeleteMe has completed over 100 million opt-out removals, helping customers reduce risks associated with identity theft, spam, doxxing, and other cybersecurity threats. We deliver detailed privacy reports, continuous monitoring, and expert support to ensure ongoing protection. DeleteMe acts as a scalable, managed defense layer for your most vulnerable attack vector: your people. That’s why 30% of the Fortune 100, top tech firms, major banks, federal agencies, and U.S. states rely on DeleteMe to protect their workforce. DeleteMe is led by a passionate and experienced team and driven by a powerful mission to empower consumers with privacy. 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.

Requirements

• 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

Responsibilities

• 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
• 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
• 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

Benefits

• Comprehensive health benefits - Medical, Vision, Dental
• 401k matching up to 6%
• 20 days paid time off
• 15 sick days
• 12 company-paid holidays
• Childcare expense reimbursement
• Fitness and cell phone reimbursement
• Birthday time off

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed