Senior Software Engineer, Fullstack (Government)

United States

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$150,000 – $170,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, AI & Machine Learning, Government Technology, Cloud Computing, Video AnalysisIndustries

Requirements

Candidates must have 6+ 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. Deep knowledge of service-oriented architecture, RESTful APIs, microservices, and distributed systems is required, along with a strong understanding of scalable database design (relational and NoSQL). Experience with modern frontend frameworks such as React, Next.js, React Query, and TypeScript is necessary, as is experience building responsive UIs using CSS frameworks like Tailwind and component libraries like Material UI. Familiarity with Docker, Kubernetes, and infrastructure scaling is also required. Eligibility for a US security clearance is mandatory, and active clearances are a plus.

Responsibilities

The Senior Software Engineer will design and implement scalable RESTful APIs (OpenAPI-compliant) for features like 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, ensuring 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 engineer will collaborate with Machine Learning Engineers, Infrastructure Engineers, and Forward Deployed Engineers to deliver end-to-end solutions and drive adherence to coding standards, best practices, and optimization techniques across the stack.

Skills

Full Stack Development

Backend Engineering

Video-Language Models

Multimodal Foundation Models

FedRAMP

DoD SRG

Cloud Security

Security Clearance Eligibility

Constrained Networks

High-Reliability Operations

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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