# Senior Inference Platform SDET

**Company:** [Cerebras Systems](https://hotfix.jobs/companies/cerebras-systems)
**Location:** Sunnyvale, CA
**Role:** QA Engineering
**Experience:** 5+ years
**Skills:** Python, Go, Kubernetes, CI/CD, Jenkins, amazon eks, Argo CD, nginx, Bazel, GitOps
**Posted:** 2026-07-13

> Build and maintain test infrastructure and automation to validate the Cerebras Inference Platform across cloud Kubernetes and hardware clusters. Ensure reliability of deployment stack including CI/CD, ingress, load balancing, and observability for massive-scale AI inference.

## Job Description

## Responsibilities
- Design, build, and maintain test infrastructure and automation for deploying and validating the Cerebras Inference Platform.
- Validate the platform across environments — from cloud-managed Kubernetes to deployments running on Cerebras hardware.
- Test and verify deployment infrastructure including Kubernetes workloads, CI/CD pipelines, ingress and service discovery, NGINX, and load balancing.
- Collaborate closely with the Inference Platform development team to ensure new features and platform capabilities ship reliably.
- Investigate and debug complex issues spanning networking, orchestration, deployment, and distributed services.
- Develop and maintain testbeds used to validate platform performance, scalability, and reliability.
- Identify failure points, bottlenecks, and edge cases that impact platform stability and inference performance.
- Contribute to test plans and validation strategies for new platform features and releases.
- Improve observability, diagnostics, and debugging workflows across the inference platform stack.
- Partner with engineering teams to ensure high-quality, production-ready releases of the Cerebras Inference Platform.

## Minimum Skills & Qualifications
- 5+ years of experience in software engineering, QA/quality engineering, systems engineering, or infrastructure development.
- Strong programming skills in Python and/or Go (experience with both is a plus).
- Experience building automation tools, testing frameworks, or internal developer tooling.
- Hands-on experience with CI/CD systems (e.g., Jenkins).
- Experience debugging complex systems, distributed services, or networked infrastructure.
- Familiarity with systems-level development, infrastructure tooling, or platform integration.
- Strong problem-solving skills and the ability to investigate issues across multiple system and infrastructure layers.
- Excellent communication and collaboration skills.
- Experience mentoring junior engineers.

## Preferred Skills
- Hands-on experience with Kubernetes and container orchestration in a real production or staging environment.
- Experience with cloud-managed Kubernetes such as Amazon EKS.
- Experience with GitOps/deployment tooling (e.g., ArgoCD).
- Familiarity with ingress controllers, service discovery, NGINX, and load balancing.
- Experience with build systems such as Bazel.
- Experience with cluster tooling and operations (e.g., k9s).
- Exposure to performance debugging, profiling, or system observability tools.
- Experience with ML inference infrastructure, model serving systems, or GPU-accelerated workloads.

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