About The Position

As part of our Government pod, you'll help deliver TwelveLabs’ video-language models (Pegasus and Marengo) and our indexing and agentic platform into highly protected GovCloud or fully air-gapped deployments. The work blends deep engineering with security and compliance: designing to the FedRAMP and Department of Defense Cloud Security Requirements Guide (DoD SRG) Impact Levels. You’ll build for constrained networks & hardware, rigorous supply-chain practices, and high-reliability operations. This role requires eligibility for a US security clearance; active clearances are a plus. We’re looking for a Full Stack Engineer with strong backend expertise and solid frontend skills to join our team. You’ll play a key role in designing, building, and scaling systems that power our platform end-to-end — from robust APIs and data pipelines to intuitive user interfaces.

Requirements

  • 10+ years of professional full stack software engineering experience building applications and tools for government customers, with features such as auditable workflows, secure authentication, and role-based access controls.
  • Deep knowledge of service-oriented architecture (SOA), RESTful APIs, microservices, and distributed systems.
  • Strong understanding of scalable database design (relational and NoSQL).
  • Experience with modern frontend frameworks, including React, Next.js, React Query, and TypeScript.
  • Experience building responsive UIs using CSS frameworks (Tailwind) and component libraries (Material UI).
  • Familiar with Docker, Kubernetes, and infrastructure scaling.
  • Exposure to IaC tools (ex. Terraform), and observability tools (ex. Prometheus, Grafana).
  • Experience deploying with GovCloud or air-gapped environments.
  • Familiarity with RBAC, LDAP, and government SSO standards.
  • Eligibility for U.S. Security Clearance.

Nice To Haves

  • Active Government Security Clearance.
  • Hands-on experience with video technologies (FFmpeg, AWS Media Services) and integrating backend systems with AI/ML pipelines for video analysis (e.g., object detection, motion tracking, summarization).
  • Experience thriving in fast-paced startup environments, with a demonstrated ability to adapt quickly and deliver results with agility.

Responsibilities

  • Design and implement scalable RESTful APIs (OpenAPI-compliant) that power features such as indexing, search and video analysis, integrating with model inference pipelines.
  • Architect and optimize high-throughput, service-oriented backend systems for enterprise-grade SaaS to ensure low latency, high availability, and scalability.
  • Design and develop responsive, high-performance frontend applications using modern frameworks (React, Next.js), ensuring seamless integration with backend services.
  • Partner with Machine Learning engineers, Infrastructure Engineers and Forward Deployed Engineers to deliver end-to-end solutions, ensuring smooth integration between backend systems, AI pipelines, and user interfaces.
  • Drive adherence to coding standards, best practices, and optimization techniques across the stack, delivering high-quality, reliable, and maintainable systems.

Benefits

  • 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.
  • Flexible PTO and parental leave policy. Office closed the week of Christmas and New Years.
  • VISA support (such as H1B and OPT transfer for US employees).
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