Define and own the platform architecture elements that enable our AI systems to run reliably inside sensitive customer environments
Design the BYOC deployment model for Archie across customer environments
Build and own Kubernetes-based infrastructure that runs reliably across multiple clouds and customer setups
Create deployment tooling using Helm, GitOps, or similar approaches to make installation and operations repeatable
Implement secure and reliable update mechanisms that work even in restricted or locked-down network environments
Work closely with product, research, and forward-deployed engineers to translate requirements into platform capabilities
Debug and improve production deployments, identifying bottlenecks in performance, reliability, or operability
Establish observability, monitoring, and debugging patterns that give us visibility into distributed systems we don’t fully control

Requirements

Built and operated Kubernetes-based systems in production
Designed infrastructure using IaC tools like Terraform, Pulumi, or similar
Implemented CI/CD or GitOps workflows that deploy systems across environments
Comfortable working across cloud providers (AWS, GCP, Azure) and understand their core primitives
Worked on systems that require strong security and networking considerations (e.g., VPCs, identity, encryption)
Like owning problems end-to-end and are comfortable operating in ambiguous, 0-1 environments

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

KubernetesHelmGitOpsTerraformPulumiCI/CDIaCcloud infrastructuresecuritynetworking

Soft Skills

problem ownershipadaptabilitycollaborationcommunicationdebuggingperformance optimizationreliability improvementobservabilitymonitoringoperability