Senior SDET Inference Platform

You will build and maintain automated test infrastructure for an inference platform. You will validate Kubernetes deployments in cloud and hardware environments, test CI/CD, ingress, service discovery, NGINX, and load balancing, and investigate distributed-system issues. You will develop testbeds, identify reliability risks, improve observability and debugging, and create validation strategies for platform releases.

Responsibilities

• Design, build, and maintain test infrastructure and automation
• Validate the platform across cloud-managed Kubernetes and hardware deployments
• Test Kubernetes workloads, CI/CD pipelines, ingress, service discovery, NGINX, and load balancing
• Collaborate to ensure platform features ship reliably
• Investigate and debug networking, orchestration, deployment, and distributed-service issues
• Develop and maintain testbeds for performance, scalability, and reliability validation
• Identify failure points, bottlenecks, and edge cases affecting platform stability
• Contribute test plans and validation strategies for platform releases
• Improve observability, diagnostics, and debugging workflows
• Partner to deliver high-quality production-ready releases

Requirements

• 3+ years of experience in software engineering, quality engineering, systems engineering, or infrastructure development
• Strong programming skills in Python or Go
• Experience building automation tools, testing frameworks, or internal developer tooling
• Hands-on experience with CI/CD systems such as Jenkins
• Experience debugging complex systems, distributed services, or networked infrastructure
• Familiarity with systems-level development, infrastructure tooling, or platform integration
• Problem-solving ability across multiple system and infrastructure layers
• Communication and collaboration skills
• Experience mentoring junior engineers