Job Description
Job Description
About DeleteMe
DeleteMe is the leader in proactive privacy protection. We help 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-paced, 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.
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
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5+ years in a DevOps or Site Reliability Engineering role
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Hands-on experience with Google Cloud Platform (GCP)
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Proficiency with OpenTofu or Terraform
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Familiarity with AI/ML workflows and supporting experimentation in a fast-moving environment
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Proven track record of leading complex technical projects and teams, demonstrating a high degree of autonomy.
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Strong ability to leverage AI-powered development environments to increase engineering velocity and efficiency.
What We Offer
Benefits and eligibility may vary based on role, location, employment status, and other factors.
- Comprehensive health benefits - Medical, Vision, Dental
- 401k retirement plan
- Paid Parental Leave
- 20 days of Paid Time Off
- 11 Company-Paid Holidays
- Birthday Off
- Work From Home Stipend
- Cell Phone Reimbursement
- Fitness Membership Reimbursement
- Child Care Reimbursement
- DeleteMe Gold Membership
- Discounted DM Plans for Friends and Family
The pay range listed reflects our good-faith estimated base salary, depending on experience, skills, and geographic location. This role may also be eligible for additional compensation, including bonus, where applicable.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.