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Staff Software Development Engineer in Test (SDET)

Aviatrix ·US ·Remote 27d ago
PythonGoTerraformKubernetesDockerAWSAzureGCPGrafanaPrometheusDatadog

About the role

Staff SDET owning design, build-out, and evolution of Platform and Hybrid Scale Integration Playground for early-stage validation, scale testing, and infrastructure experimentation. High-impact infrastructure-forward role at intersection of platform engineering and test infrastructure. Drives development of scale testing capabilities and establishes shared playground infrastructure. Works with scale automation leads and domain experts across Networking, Platform, and ERT teams. Mentors junior.

Requirements

6+ years software development or test engineering with emphasis on infrastructure, scale testing, or platform engineering. Bachelor's/Master's/PhD in CS or related. Strong coding in Python and/or Golang. Deep understanding of cloud infrastructure (AWS, Azure, GCP, OCI) including networking, VPCs, gateway architectures. Hands-on experience with Terraform, CI/CD pipelines, GitHub Actions, Docker, Kubernetes. Ability to work independently and drive projects. Proficient in AI-powered tools like Cop.

About the company

Aviatrix

Aviatrix provides cloud network security solutions designed to enforce policies at every workload, moving beyond traditional prevention and detection methods into what they call "The Containment Era." They specialize in securing AI workloads and cloud communications by acting as a unifying enforcement layer, aiming to stop threats before they become breaches. Their platform offers distributed enforcement across all cloud environments, ensuring consistent policy application regardless of workload or cloud provider.

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$189k–223k
Remote Santa Clara, CASanta Clara, United States
Posted 27d ago
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About the company
Aviatrix
https://aviatrix.ai

Aviatrix provides cloud network security solutions designed to enforce policies at every workload, moving beyond traditional prevention and detection methods into what they call "The Containment Era." They specialize in securing AI workloads and cloud communications by acting as a unifying enforcement layer, aiming to stop threats before they become breaches. Their platform offers distributed enforcement across all cloud environments, ensuring consistent policy application regardless of workload or cloud provider.

View company page →