Leads IT Operations, Engineering, and AI Enablement teams to scale infrastructure, ensure security, and integrate AI tools company-wide. Requires 10+ years IT experience with 4-5 years senior leadership in fast-growing tech firms.
258k – 348k/yr
Remote10+ YOEDevOps / SRE
About the role
What you’ll do at Figma
Lead, grow, and develop a high-performing team of 20+ across IT Operations, IT Engineering, and AI strategy, including managers and senior ICs across each function
Own the strategy and execution of Figma's internal IT infrastructure, ensuring reliability, scalability, and security across our global workforce and office environments
Partner with Figma's AI team to define and guide an internal AI enablement strategy, finding opportunities to embed AI-powered tools and workflows across IT and the broader business
Establish and track KPIs across IT disciplines, using data to drive continuous improvement in system uptime, ticket resolution, employee satisfaction, and infrastructure performance
Own IT vendor relationships, participate in contract negotiations and budget planning, ensuring the company has the right tools to meet current needs and future growth
Collaborate cross-functionally with Security, Legal, People, and Finance to ensure IT systems meet compliance, privacy, and regulatory requirements
Serve as an escalation point and executive sponsor for major incidents, infrastructure migrations, and large-scale IT initiatives
We'd love to hear from you if you have
10+ years of experience in IT, with at least 4–5 years in a senior leadership role running multiple teams or functions
Consistent track record of scaling IT Operations and IT Engineering organizations in a fast-growing technology company
Deep technical knowledge of enterprise infrastructure, SaaS tooling, endpoint management, and IT service management (ITSM) frameworks
Experience partnering on or directly leading AI or automation initiatives within an IT or enterprise technology context
While not required, it’s an added plus if you also have
Experience at a product-led, design, or SaaS company with a distributed or hybrid-first workforce
Experience in IT security or compliance domains such as SOC 2, ISO 27001, or FedRAMP, and comfort partnering with Security teams on audits and controls
Experience leading large scale change management initiatives, such as system migrations, tooling consolidations, or workforce transitions at scale
Lead design, fit-out, and commissioning of data center sites focused on power, cooling, and IT infrastructure for high-density GPU workloads. Build and manage a 20-person operations team, oversee multi-site portfolio, and establish processes from scratch.
250k – 300k/yr
On-siteDevOps / SRE
Director of Platform & Reliability Engineering
ForgeSan Francisco, CA
The Director of Platform & Reliability Engineering will lead an engineering organization responsible for secure, scalable, and highly reliable products. This role involves setting the vision for internal platforms, cloud infrastructure, developer enablement, and production operations.
235k – 245k/yr
Hybrid8+ YOEDevOps / SRE
Director of Site Reliability Engineering
StellarNew York, NY +1
Lead and develop a distributed SRE team, setting vision and operating model for reliability practices. Own core infrastructure services (Kubernetes, CI/CD, observability) and drive service ownership frameworks across engineering teams.
210k – 310k/yr
Hybrid10+ YOEDevOps / SRE
Platform Staff Engineer- Universal Directory
OktaSan Francisco, CA
Staff engineer on Universal Directory Platform team builds scalable distributed systems for identity management using Java and cloud infrastructure. Requires 7+ years Java experience, expertise in Spring Boot/Hibernate, and 3+ years deploying services on AWS/GCP.
194k – 243k/yr
Hybrid7+ YOEDevOps / SRE
Director of AI Infrastructure
Ai2Seattle, WA
Leads AI infrastructure including on-prem GPU clusters, hybrid cloud orchestration, storage, and resource allocation to support frontier AI research. Requires 12+ years experience with HPC leadership, GPU systems, Kubernetes, and distributed storage.