DevOps Team Lead
About DeleteMe:
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.
Role Overview
DeleteMe is led by a passionate and experienced team and driven by a powerful mission to empower consumers with privacy.
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.
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 and Qualifications
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