Full-Time Infrastructure Engineer

• Take ownership of building, deploying, and monitoring Kubernetes-based infrastructure.
• Develop and scale the orchestration platform for AI-enabled cameras and Edge Processors.
• Manage the entire edge device lifecycle, from automated provisioning to remote monitoring.
• Apply infrastructure-as-code best practices via Terraform and Argo CD.
• Identify and champion Developer Experience (DevX) improvements.
• Manage CI/CD pipelines and develop observability solutions.
• Support integration efforts with Access Control and Video Management systems.
• Critically assess and address infrastructure security risks.
• Lead by example, establishing and maintaining best practices.

• Demonstrated expertise in Linux, Networking, and Distributed systems.
• Deep understanding of backend development best practices.
• Hands-on experience managing highly available deployments with container orchestration and declarative IaC.
• Knowledge of monitoring and observability tools and best practices.
• Experience optimizing cloud provider spends.
• Hands-on experience with hybrid cloud/edge architectures.
• Eagerness to work with, mentor, and learn from peers.
• Authorization to work in the United States.

• Experience with compliance frameworks, e.g. SOC 2.
• Experience managing bare metal servers.
• Experience collaborating with cyber security teams.
• Experience with multiple cloud providers’ offerings.
• Experience with AI, including generative AI technologies.
• Familiarity with the Nix package manager.
• Background as a full-stack engineer.

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