Senior Cloud Infrastructure Engineer

CHAOS Industries•San Francisco, CA

9d•Onsite

About The Position

CHAOS Industries is hiring a Senior Cloud Infrastructure Engineer to join a small, collaborative team in San Francisco and build the cloud platform behind advanced radar systems. The platform moves mission-critical sensor data from fielded radars to operators and is already in production. The engineer will scale its infrastructure and backend services as the fleet of sensors, customers, and deployments grows. The role combines Azure infrastructure engineering, backend platform development, architecture, and operations. The engineer will design and operate infrastructure as code, build high-throughput services and data systems for real-time sensor data, collaborate across engineering teams on platform architecture, and own platform security, reliability, observability, and incident response.

Requirements

Experience building and operating production infrastructure in at least one major cloud (Azure, AWS, or GCP), defined in code with Terraform, Pulumi, Bicep, or CloudFormation.
Experience running containerized production workloads with Docker on a managed platform such as Azure Container Apps, AWS ECS or Fargate, Google Cloud Run, or Kubernetes.
Strong cloud networking fundamentals, including virtual networks, subnets, routing, DNS, load balancers, private endpoints, and firewalls.
Experience building and operating production backend services in Python, Go, or a similar language, and understanding performance under load, including concurrency, async I/O, connection pooling, and resource limits.
Fluency in distributed systems, including consistency and replication, partitioning, caching, back-pressure, idempotency, failure modes, and graceful degradation.
Experience scaling a production system well beyond its original design and resolving issues that arise.
Secure-by-default engineering practices, including least-privilege access, keeping secrets out of code, and maintaining patched, hardened systems; ability to explain trade-offs.

Nice To Haves

Experience with Azure Government, AWS GovCloud, or other regulated environments, such as FedRAMP, CMMC, NIST 800-171, or NIST 800-53.
Experience with real-time and streaming data systems, including WebSockets, server-sent events, pub/sub, and message queues.
Experience with identity and cloud security, including Entra ID, OAuth 2.0/OIDC, managed identities, service-to-service authentication, and policy as code.

Responsibilities

Design and operate Azure infrastructure as code using Terraform, including networking, Azure Container Apps, managed databases, and CI/CD pipelines.
Build and own high-throughput Python (FastAPI) services and the data layer using PostgreSQL/TimescaleDB, Redis, and Cosmos DB to ingest and stream real-time sensor data.
Work with engineering teams across the company to define the architecture of the next generation of the platform.
Own platform security, reliability, and observability, including identity and access, secrets management, network isolation, monitoring and alerting with Datadog, and incident response.
Scale the production platform as the fleet of sensors, customers, and deployments grows.