Senior Software Development Engineer in Test - CA, Santa Clara, United States
$168,000 - $270,250 USD yearly
Originally posted 2 July 2026 by the employer.
About the role
This role involves designing, constructing, optimizing, and testing large-scale infrastructure for unified cloud services and data center offerings within the Enterprise Software QA team. You will focus on cloud infrastructure, distributed systems, and test automation workflows.
What you'll do
- Work with development teams on test plans across all layers of the software stack for cloud infrastructure, execution, reviews, failure analysis, and risk assessment. - Lead NVIDIA Cloud and Data Center bring up activities involving validation, reporting, engineering debug, and coverage expansion. - Leverage AI tools to support test scope definition, test planning, execution, and automation workflows. - Design, develop, and maintain CI/CD pipelines for continuous testing in cloud environments. - Perform performance, scalability, and reliability testing of cloud services across environments including AWS, Azure, or Google Cloud. - Supervise infrastructure and monitoring systems to track performance, availability of clusters, security, storage, and workloads.
What you'll need
- Master's or Ph.D. in Computer Science or a related field, or equivalent experience. - 8+ years of hands-on experience in cluster management and related tools, including Docker Containers, Slurm, Kubernetes, and Ansible. - 2+ years of experience with cloud infrastructure platforms such as AWS, Azure, Google, or OCI Cloud. - Hands-on experience with network, storage, security, cluster configuration and debugging, and tools like Terraform and Ansible. - Expertise in administering, operating, and configuring Kubernetes. - Experience with CI/CD tools such as GitLab and Jenkins, alongside the GitOps model. - Proficiency in monitoring tools including Prometheus, Grafana, CloudWatch, and Thanos. - Proficiency in debugging issues involving networks, DHCP, DNS, HTTP, Linux, and containers. - Experience with AI development tools used in creating test cases, automating test cases, code coverage, and triaging.
Skills: cloud infrastructure, test plans, CI/CD pipelines, Kubernetes, Docker, Linux