Senior SaaS Operations Engineer

Fastly•San Francisco, NY

9d•Hybrid

About The Position

Fastly is seeking a Senior SaaS Operations Engineer to support its in-office and remote employees and keep IT infrastructure effective, secure, and up to date. The role supports operations across global offices and requires experience in a fast-paced, high-growth environment, systems administration, and advanced service desk support. The successful candidate will help scale a large SaaS environment, improve broken processes, and explore safe, effective use of AI tools in IT operations. The engineer will lead the design, implementation, and maintenance of information systems; administer enterprise AI platforms and related identity and access controls; build AI-assisted automations; and partner with Security and Legal on AI integrations and data governance. The role also includes mentoring engineers, troubleshooting critical issues, documenting systems and processes, researching technologies, and promoting sound engineering practices. The role requires availability during core business hours. It is open to preferred office locations in San Francisco, New York, Denver, or remote within the United States. Fastly describes its model for most roles as largely hybrid, allowing employees to split time between office and home. The estimated salary range is $132,060 to $186,444. Starting salary may vary based on permissible factors such as experience, skills, qualifications, and location. The role may be eligible for equity and discretionary bonus programs. Fastly offers medical, dental, and vision insurance; family planning and mental health support; an Employee Assistance Program; life, disability, and accident insurance; flexible vacation; accrued paid sick leave; a 401(k) with company match; an Employee Stock Purchase Program; paid local holidays; and paid company wellness days.

Requirements

10+ years in IT support roles, including 5+ years in a senior or lead engineering position.
Deep understanding of system architecture, design patterns, and best practices.
Proven ability to lead and mentor engineering teams.
Strong experience with cloud-based IT environments such as Google Workspace, Zoom, Slack, GitHub, and Atlassian, with advanced domain knowledge of Okta.
Hands-on experience deploying or administering enterprise AI tools such as Claude, OpenAI, or Gemini, including identity integration and data-handling controls.
Experience with automation and scripting for system administration.
Excellent communication skills, including the ability to explain technical information to technical and non-technical audiences.
Ability to align technology with business objectives and make data-driven recommendations.

Nice To Haves

Infrastructure-as-code experience, such as Terraform or Ansible.
Experience building with Claude, OpenAI, or Gemini APIs, including agents, MCP servers, or prompt engineering for business workflows.
Experience establishing AI governance practices, such as connector reviews or acceptable-use policies.
Certifications relevant to the role, such as Okta Certified Professional or Google Cloud Certified Professional Cloud Architect.

Responsibilities

Lead the design, implementation, and maintenance of complex information systems to ensure availability, security, and performance.
Identify and mitigate system vulnerabilities and performance bottlenecks.
Lead and mentor a team of engineers, providing technical guidance and support.
Collaborate with cross-functional teams, including product and security, to deliver solutions that meet business objectives.
Administer enterprise AI platforms, including Claude, OpenAI, and Gemini, and manage SSO/SCIM, access controls, and licenses.
Partner with Security and Legal to review AI connectors and integrations using least-privilege and data-governance principles.
Build AI-assisted automations to reduce manual IT work and improve the employee experience.
Research and recommend new technologies, including emerging AI tools.
Maintain documentation for systems and processes, including AI usage guidelines.
Provide expert-level troubleshooting for critical system issues and help shape engineering best practices.