Staff Software Engineer, Fullstack (Government)

United States

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$170,000 – $190,000Compensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Government Technology, Cloud ComputingIndustries

Requirements

Candidates must have 10+ years of professional full stack software engineering experience building applications and tools for government customers, including features like auditable workflows, secure authentication, and role-based access controls. A deep knowledge of service-oriented architecture (SOA), RESTful APIs, microservices, and distributed systems is required, along with a strong understanding of scalable database design (relational and NoSQL). Frontend experience with modern frameworks like React, Next.js, React Query, and TypeScript, as well as building responsive UIs using CSS frameworks (Tailwind) and component libraries (Material UI), is necessary. Familiarity with Docker, Kubernetes, and infrastructure scaling is also required. Eligibility for a US security clearance is mandatory, with active clearances being a plus.

Responsibilities

The Full Stack Engineer will design and implement scalable RESTful APIs (OpenAPI-compliant) for features such as indexing, search, and video analysis, integrating with model inference pipelines. They will architect and optimize high-throughput, service-oriented backend systems for enterprise-grade SaaS to ensure low latency, high availability, and scalability. Responsibilities also include designing and developing responsive, high-performance frontend applications using modern frameworks (React, Next.js), ensuring seamless integration with backend services. The role involves partnering with Machine Learning engineers, Infrastructure Engineers, and Forward Deployed Engineers to deliver end-to-end solutions and driving adherence to coding standards, best practices, and optimization techniques across the stack to deliver high-quality, reliable, and maintainable systems.

Skills

Full Stack Engineering

Backend Engineering

Frontend Engineering

Multimodal Foundation Models

Video-Language Modeling

Cloud Security

FedRAMP

DoD SRG

Security Clearance

Twelve Labs

AI system for video content understanding

About Twelve Labs

Twelve Labs focuses on artificial intelligence and video understanding by developing a system that analyzes videos to extract key features like actions, objects, and speech. This information is transformed into vector representations, enabling fast semantic search within large video datasets. The company differentiates itself by providing a platform that is faster and more effective than many existing models, allowing developers and product managers to easily integrate its technology through an API. Twelve Labs aims to make all videos searchable, enhancing the way businesses utilize video content.

San Francisco, CaliforniaHeadquarters

2021Year Founded

$104.2MTotal Funding

EARLY_VCCompany Stage

Enterprise Software, AI & Machine Learning, EducationIndustries

51-200Employees

Risks

Increased competition from emerging AI startups in video understanding.

Rapid AI advancements require continuous innovation, straining resources.

Potential over-reliance on key investors like SK Telecom and Databricks.

Differentiation

Twelve Labs offers a comprehensive AI system for multimodal video understanding.

Their technology transforms video content into vector representations for fast semantic search.

The platform's API allows easy integration into clients' systems with minimal effort.

Upsides

Growing demand for AI-driven video analytics in education, healthcare, and security sectors.

Recent $30 million funding enhances technology development and strategic partnerships.

Collaboration with cloud providers boosts scalability and efficiency of video processing.

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