Senior Infrastructure Engineer

Video accounts for 90% of the world's data, yet most of it remains in a domain that machines still cannot understand.

To solve this problem, TwelveLabs builds AI infrastructure that enables machines to understand video. Through AI models that understand video more precisely and deeply than humans, we comprehensively analyse the visual and auditory information within video and apply it to workflows across media and entertainment, sports, security and the public sector.

We have raised over 300 billion won in cumulative investment from global investors including NEA, Radical Ventures, Amazon, NVIDIA, Snowflake, Databricks, Index Ventures, Naver Ventures, Korea Investment Partners, Quadrille Capital and Red Bull Ventures. In addition, world-leading AI leaders including Fei-Fei Li, Silvio Savarese and Alexandr Wang serve on our advisory board.

TwelveLabs is a global company operating from four offices: San Francisco, Seoul, New York and London. Core research and development takes place in Seoul, and members across our offices are applying video understanding technology to a range of industries and markets. Because we build technology that makes sense of the world's complexity, we believe we can build better products when people with different backgrounds and perspectives come together.

We are looking for people who want to define answers that do not yet exist in the world, and who want to make change happen with their own hands. Build technology that understands the world with us at TwelveLabs.

Infrastructure engineers at TwelveLabs design and build core infrastructure so that our AI SaaS platform can be operated reliably and scalably. They work with system architecture across diverse cloud and on-premises environments, and build robust infrastructure that underpins our video AI foundation models. In the fast-changing startup environment, they optimise performance, security and flexibility, and work closely with several teams across the company.

• Design and operate multi-tenant architecture for global enterprise customers

• Develop automation through Terraform and highly scalable CI/CD pipelines

• Build flexible infrastructure spanning AWS, GCP, Azure and other diverse cloud environments and on-premises

• Optimise cloud infrastructure to be secure yet efficient through advanced monitoring and security systems

• Design scalable architecture to support new video AI models and services as quickly as possible

• Collaborate with PMs, engineers and researchers to turn AI products into reality

• Experience building and operating infrastructure in cloud environments such as AWS, GCP and Azure

• Experience with automation and architecture design using IaC (Infrastructure as Code) tools such as Terraform and Ansible

• Experience running Kubernetes and container-based workloads

• Experience with scripting and automation using languages such as Python, Go and TypeScript

• Experience designing and operating CI/CD pipelines

• 7+ years' experience as an infrastructure engineer

• Experience designing and operating multi-tenant architecture in enterprise SaaS environments

• Experience designing infrastructure architecture aligned with security and compliance standards and responding to audits

• Experience building advanced monitoring and logging systems

• Experience operating infrastructure that balances performance optimisation and cost efficiency

• Ability to communicate in English

• Calm sailing on the surface, but a storm beneath

• A rate limiter that only counts requests was not enough

• Spec-Driven Test Automation: Why does AI always write test code half-heartedly?

• "How much have you worked with GPUs?" How to become an infrastructure engineer unlike any other

Résumé screening → Recruiter interview → Hiring Manager interview → Role interview (1-2 rounds) → Final interview → Reference check and offer → Final acceptance
*The selection process varies by role and may change depending on schedule and circumstances. Please note that role interviews may include in-person interviews.

• Growth & Tools

  • Global Team growing together with global B2B customers

  • Hybrid working that combines autonomy and collaboration

  • Latest MacBook and home-working equipment worth about 700,000 won provided, with equipment refreshed every three years

  • Unlimited LLM tokens so that Tech roles can use AI efficiently and responsibly

  • Self-development allowance of up to about 1.4 million won per year for courses, conferences, memberships and more

  • English training programme and global buddy programme

  • Taxi fare support for commuting during night and weekend hours

• Meal & Snack

  • Corporate card worth about 7.2 million won per year, freely usable for meals, transport and more

  • Snack bar in the office (snacks, coffee, seasonal fruit and more)

  • Dinner allowance after 7 p.m. for those working in the office

• Wellness & Family

  • One annual health check-up for yourself and one family member

  • Group insurance enrolment (choose one: accident insurance, dental insurance or family accident insurance)

  • Flu vaccination cost support

  • Two weeks of paid Holiday Break at year end

• Common requirement for all roles in Korea: no obstacles to international travel

• All new joiners are subject to a three-month probationary period. Salary is paid at 100% during this period.

• If falsified information or misconduct is found in documents submitted during the hiring process, the offer may be cancelled or future hiring may be restricted.

If someone contacted you about this role and you’d like to verify they’re a member of our team, please email [contact details removed]