Runpod
Senior Software Development Engineer in Test
$175K–$200K
Remote - USA · Remote · Senior · Full-time · Posted Oct 26, 2026
- Experience
- 10+ years in QA Automation, SDET, Software engineering, or a related technical field.
- Education
- Bachelor's degree in Computer Science, Engineering, or a related field (preferred).
- Visa sponsorship
- Welcomes qualified candidates eligible to work in the United States; unable to sponsor employment visas.
About the job
Build and lead automated quality testing for Runpod’s distributed AI cloud platform, focusing on reliability, performance, scalability, and safe deployments.
What you'll do
- Develop automation frameworks and end-to-end, integration, API, performance, load, and stress tests for distributed systems.
- Design chaos and fault-injection testing, and analyze telemetry and observability data to identify reliability risks.
- Integrate continuous testing into CI/CD and collaborate with engineering, SRE, and infrastructure teams on quality practices.
What they ask for
- 10+ years of experience in QA Automation, SDET, Software engineering, or a related technical field.
- Expertise testing cloud-scale distributed systems, including reliability, performance, and scalability; hands-on experience building automation frameworks for complex microservices.
- Strong programming skills in at least one language; deep understanding of CI/CD, IaC, and automated deployment strategies.
- Experience with load-testing and observability tools, Kubernetes/containerized applications, chaos engineering, and distributed tracing; successful background check.
Nice to have
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Experience with multi-region cloud deployments, security testing or compliance, or GPU/AI compute fleets.
Pay
$175,000 - $200,000 USD base salary; $1,200 USD home office and equipment stipend
Tools
Python, Golang, Typescript, Locust, k6, JMeter, Prometheus, Grafana
AI focus
The role tests infrastructure used to train, fine-tune, deploy, and scale AI, including GPU/AI compute resources.
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