Senior Software Engineer (Full-Stack)

Posted 3 Days Ago
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Denver, CO, USA
Hybrid
160K-210K Annually
Senior level
Artificial Intelligence • Information Technology • Security • Software
The Role
The Senior Full Stack Engineer will develop interfaces for security operations, build APIs, and collaborate on real-time monitoring features using React, TypeScript, Django, and GraphQL.
Summary Generated by Built In

Summary:

Cobalt AI uses automation to elevate physical safety and security in the workplace. Our platform, Cobalt Monitoring Intelligence, is a hybrid AI system, cloud-hosted with edge-deployed hardware, that provides human-verified, real-time monitoring of surveillance cameras, alarms, and robots across enterprise locations.

We’re hiring a Senior Full Stack Engineer to own the interfaces that security teams rely on every day, including live robot video feeds, event triage workflows, real-time alarm dashboards, and fleet management tools built in React and TypeScript. You’ll also work across the backend (Django/Python, GraphQL) to build the APIs that power those experiences.

Responsibilities:
• Build and refine real-time security dashboards, event triage interfaces, and fleet management
tools used by security teams 24/7
• Design and implement complex, interactive UIs — canvas rendering (environment maps, robot
positioning), data visualization, live robot video via WebRTC, and subscription-driven event

streaming
• Own component architecture in a monorepo and contribute to a Storybook-driven design system
• Build and extend the GraphQL API — queries, mutations, and WebSocket subscriptions —
serving all frontend applications
• Work with Django models in PostgreSQL — multi-tenant data isolation, schema design, query
optimization, and migrations
• Ship full-stack features end-to-end — from React components to GraphQL mutations to Django
models and background jobs
• Partner with the CDS and ML teams on the detection-to-event pipeline
• Write well-tested code with strong observability — tracing, structured logging, and metrics
• Participate in code reviews, architectural discussions, incident response, and on-call rotations

Qualifications:
• 5+ years of professional software engineering experience, with depth in frontend development
• Strong proficiency in React and TypeScript — opinionated about component architecture, state
management, and rendering performance
• Experience building complex, interactive UIs — canvas/2D rendering, real-time streaming, data
visualization, or WebRTC
• Backend fluency in Python and Django — building GraphQL APIs, writing migrations, and
optimizing ORM queries
• Solid understanding of PostgreSQL — data modeling, indexing, and query performance
• Comfort working in a monorepo with shared packages, generated types, and cross-team code
ownership
• Experience deploying to AWS and working with containerized applications

Why Work for Us?: 

Competitive salary, equity, and full benefits (medical, vision, dental). Flexible work arrangements. A proven platform, an expanding customer base, and the opportunity to shape the engineering org at an inflection point.

Salary Range: $160k - $210k (actual compensation will be determined based on experience, location, and other factors permitted by law)

Cobalt AI is an equal employment opportunity employer and values diversity.  Qualified candidates are considered for employment without regard to race, religion, gender, gender identity, sexual orientation, national origin, age, military or veteran status, disability, or any other characteristic protected by applicable law.

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The Company
HQ: San Francisco, California
116 Employees
Year Founded: 2016

What We Do

Based in San Francisco CA, Cobalt AI was founded in 2016 on a mission to drive behavioral change to increase physical security in organizations to improve the ability to detect more, respond faster, and save money. Our innovative solutions are not only geared towards enhancing operational efficiency but are also designed to be cost-efficient. By leveraging artificial intelligence and robotic automation, we streamline processes and optimize resource utilization, ultimately delivering maximum value at minimum cost. This approach enables us to swiftly process and analyze data, pushing insights back to our customers rapidly and enabling them to take immediate, cost-efficient action based on real-time information. By applying artificial intelligence and robotic automation to handle mundane, important tasks, we enable our customers to focus on what matters most.

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