Full-Stack Software Engineer

About the role

Cyvl is a Physical AI company on a mission to bring Infrastructure Intelligence to every city, town, and community on the planet. We help governments plan, build, and maintain the physical infrastructure that people depend on every day, roads, sidewalks, bridges, utilities, and more, better than ever before. We pioneered an end-to-end approach that combines purpose-built hardware, computer vision, cloud data pipelines, and AI to transform raw LiDAR and imagery into a living, structured understanding of the built world. Our platform turns what used to take months of manual inspection into actionable intelligence that's easy for any agency to use, saving cities time, money, and resources across hundreds of communities nationwide. At Cyvl, we're building toward a future where every piece of public infrastructure on Earth is captured, understood, and continuously monitored, so the agencies responsible for it and the residents who rely on it can make better decisions, faster. That's the power of Physical AI applied to the real world. We're a fast-moving, high-growth team based in Boston, MA that believes in solving real-world problems with authenticity, simplicity, and boldness. Every member of our team is empowered to take ownership, deliver results, and leave a lasting impact on the communities we serve. About You As a Full-Stack Engineer at Cyvl, you will play a key role in delivering intuitive, performant, and scalable applications for our customers. You'll be responsible for designing and building across the stack, from elegant, component-driven React interfaces to APIs and services in containerized and serverless environments, backed by relational databases. You'll work in close partnership with product to define and ship features end-to-end, and take real ownership of what you build. The differentiators for us will be a strong technical foundation, a good eye for product, and a genuine enthusiasm for leveraging agents to develop across the stack.

Responsibilities

• Build across the stack, from component-driven React interfaces to APIs, services, and data layers.
• Design, document, and maintain scalable APIs, and own features end-to-end from conception to deployment.
• Work with containerized and serverless environments and contribute to cloud infrastructure.
• Collaborate with design and product teams to deliver smooth, accessible, and responsive interfaces, and partner with QA and DevOps to ensure robust, testable, and observable systems.
• Participate in architectural discussions and code reviews, and contribute to engineering best practices across the organization.

Requirements

• Required:
• 3+ years of professional experience in a full-stack engineering role.
• Experience with React and a modern front-end toolchain (e.g., TanStack Router, Vite, pnpm/Turborepo), with a focus on clean, reusable components and highly interactive, data-driven user experiences.
• Solid understanding of JavaScript/TypeScript and modern front-end development practices (hooks, context, etc.).
• Experience building backend services in Python (e.g., FastAPI) and TypeScript (e.g., Cloudflare Workers, Hono), including designing and consuming RESTful and GraphQL APIs.
• Familiarity with a Postgres-based data layer (e.g., Supabase).
• Solid Git workflow knowledge and experience with CI/CD pipelines (Github Actions), and experience with cloud infrastructure (AWS, Kubernetes, Cloudflare).
• Ability to work cross-functionally in a fast-paced, collaborative team environment.
• Experience using real user monitoring and analytics tools (e.g., PostHog, Grafana) to make data-driven development decisions.
• Expertise in modern Python development (uv, static type checking, Pydantic, asyncio, pytest).
• Familiarity with event-driven backend architectures using NATS Jetstream.
• Familiarity with geospatial data and tools (e.g., Mapbox, MapillaryJS, PostGIS, map vector tiles, cloud optimized point clouds), and 3D visualization libraries (e.g., Deck.gl ).
• Background in data visualization and performance profiling.
• Prior work in early-stage startups or fast-scaling environments.
• Experience writing tests with Vitest, or comparable tools like Jest or Cypress.
• Experience integrating LLM agents or agentic workflows into production web applications.

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