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Job description
About the Role
Join an early-stage AI company building cloud infrastructure and backend systems that turn robotics research into reliable, production-grade products. This generalist role is backend-focused, with ownership across architecture, infrastructure, and customer-facing web experiences.
What You'll Do
Design and deploy cloud infrastructure across AWS, GCP, or Azure using infrastructure as code and automated deployments.
Build serverless APIs, containerized services, background jobs, and event-driven workflows, optimizing for latency, throughput, reliability, and cost.
Implement authentication, authorization, API keys, OAuth/OIDC, role-based access controls, tenant isolation, and secrets management.
Model and manage relational databases, object storage, and caches, including indexing, migrations, retention, backups, and recovery.
Build pipelines to ingest and process sensor streams, 3D spatial data, telemetry, and model outputs, including edge-to-cloud connectivity.
Develop product services and web experiences for organizations, projects, devices, configuration, onboarding, access management, and monitoring.
Establish production practices for CI/CD, automated testing, observability, security, and incident diagnostics.
What We're Looking For
At least 5 years of backend or full-stack engineering experience building production systems.
Backend experience in Python, TypeScript, Go, or Rust, with hands-on operation of cloud services and infrastructure as code.
Strong grounding in AWS, GCP, or Azure, SQL and NoSQL databases, API design, containerization, and deployment automation.
Practical React and TypeScript experience, with ownership of features from API through user interface.
Experience in AI/ML infrastructure, developer infrastructure, databases, robotics, autonomy, or spatial and drone technology.
Ability to ship products end to end, make sound architectural trade-offs, and work across backend, frontend, and infrastructure. Robotics, spatial computing, or real-time data pipeline experience is beneficial.
Compensation & Benefits
Base salary range: $150,000 to $300,000 USD annually. Equity and visa sponsorship details were not provided.
Location
Hybrid, based in San Francisco, California, United States.