About the role

What will you do at TwelveLabs?

Who We Are: At TwelveLabs, we are pioneering the development of cutting-edge multimodal foundation models that have the ability to comprehend videos just like humans do. Our models have redefined the standards in video-language modeling, empowering us with more intuitive and far-reaching capabilities, and fundamentally transforming the way we interact with and analyze various forms of media.

With a remarkable $107 million in Seed and Series A funding, our company is backed by top-tier venture capital firms such as NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, and prominent AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang, and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation.

We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world.

Join us as we revolutionize video understanding and multimodal AI.

About the Role

As a Staff Site Reliability Engineer at Twelve Labs, you will own the reliability, scalability, and operability of the infrastructure that powers our multimodal foundation models. You'll be hands-on — building systems when needed, but with a primary focus on ensuring production stays healthy, observable, and resilient. You'll work most closely with the product teams in the US, supporting the infrastructure behind our core AI products.

This role requires deep operational instincts, strong debugging skills, and the ability to balance long-term reliability investments against the pace of an early-stage AI company.

In this role, you will

Own production reliability end to end — from deployment through monitoring, incident response, and postmortem-driven improvement.
Partner with the product engineering teams to ensure their services are reliable, observable, and operable by design.
Build and maintain observability systems (metrics, logging, tracing, alerting) that give the team clear signal on system health and performance.
Design and operate cloud infrastructure supporting AI/ML workloads.
Drive incident response — detect, diagnose, mitigate, and prevent production issues.
Build the runbooks, automation, and guardrails that reduce mean time to recovery.
Identify and eliminate toil through automation, self-healing systems, and better tooling.
You may be a good fit if you have: 7+ years of experience operating production infrastructure systems, not just building them.
Strong hands-on experience with AWS, Kubernetes in production environments.
Solid fundamentals in OS internals, networking, storage, and compute — the kind that help you debug a problem at 3am without documentation.
Deep practical experience with observability (Prometheus/Grafana/Loki or equivalent), Infrastructure as Code (Terraform, Ansible), and CI/CD.
Track record of owning services end to end — deployment, monitoring, incident response, and postmortem follow-through.
Interviews All virtual interviews will be conducted via video.
To support identity verification and interview integrity, candidates may be asked to present a government-issued ID.
Candidates may also be requested to disable video filters and use a clear, unobstructed background to facilitate effective communication.

Benefits

and Perks 🤝 An open and inclusive culture and work environment 🚀 Work closely with a collaborative, mission-driven team on cutting-edge AI technology 🏥 Full health, dental, and vision benefits 🌴 Extremely flexible PTO and parental leave policy.

Office closed the week of Christmas and New Years 💪 Monthly wellness stipend 📚 Annual Learning & Development stipend to invest in your growth 💼 Global offices in San Francisco and Seoul, and coworking office memberships for remote team members 🛂 VISA support where applicable 🚆 Transportation stipend 🍲 Daily lunch & dinner provided

Which skills does this role require?

AWSKubernetesPrometheusGrafanaLokiTerraformAnsibleCI/CDObservabilityIncident ResponseInfrastructure as CodeOS InternalsNetworkingStorageComputeAutomationSRESite Reliability EngineeringMultimodal AIFoundation ModelsPostmortemsAI/ML WorkloadsCloud InfrastructureSelf-healing SystemsRunbooksScalabilityResilienceProduction InfrastructureTechEngineeringSan FranciscoMachine Learning

Make your next move

Build a shortlist and prepare

Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.

Build a focused shortlist before you applyCompare role requirements with your experience and give each application a clear reason.
Platform engineering jobsCompare current openings and review what to look for in this role.
Practice explaining your experience in an interviewRehearse your answers before meeting the hiring team.

Review the responsibilities and requirements before adding an opening to your shortlist.