Senior Software Development Engineer in Test (SDET) - AI Infrastructure & Cloud-Native Systems

RunPod • United State

Remote

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AI Summary

Join RunPod as a Senior SDET to architect and lead testing frameworks for cloud-scale AI infrastructure, ensuring reliability, performance, and scalability of distributed systems. You’ll collaborate with engineering and SRE teams to automate testing, validate GPU/AI workloads, and drive data-driven quality improvements across globally distributed environments. This role shapes RunPod’s QA foundation while influencing a platform relied upon by over a million developers.

Key Highlights

Architect and maintain test automation frameworks for cloud-scale distributed systems, including GPU/AI workloads and microservices.

Design performance, load, and chaos engineering tests to validate resilience, scalability, and fault tolerance under extreme conditions.

Collaborate with engineering and SRE teams to embed quality into the SDLC, reduce production risks, and accelerate CI/CD pipelines.

Key Responsibilities

Design, develop, and maintain robust test automation frameworks for cloud-scale distributed systems, including GPU/AI workloads.

Architect and execute performance, load, and stress tests to validate system resilience under high traffic conditions.

Build fault-injection and chaos engineering strategies to assess reliability of distributed services (e.g., Chaos Mesh, Gremlin).

Develop end-to-end integration, API, and system-level tests across microservices-based architectures (GraphQL, Go services).

Collaborate with engineering and SRE teams to embed quality best practices into the SDLC and CI/CD pipelines.

Analyze observability metrics (Prometheus, Grafana, OpenTelemetry) to identify and mitigate production failures proactively.

Participate in on-call rotations to diagnose and resolve critical system reliability/performance issues.

Automate security testing, API contract validation, and infrastructure testing within CI/CD workflows.

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Technical Skills Required

Python Cloud-Native Testing (Kubernetes, Distributed Systems) Load Testing (e.g., k6, JMeter)

Benefits & Perks

$175,000 - $200,000 annual base salary (adjusted for experience/location)

Meaningful equity with stock options

Generous medical, dental, and vision plans

Flexible PTO and remote work-first policy

$1,200 home office & equipment stipend

Inclusive workplace with diversity and equality commitments

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Nice to Have

Experience with multi-region cloud deployments (AWS, GCP, Azure)

Familiarity with GPU/AI compute resource management

Background in security testing and compliance frameworks

Bachelor's degree in Computer Science/Engineering

Job Description

Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod to experiment, train, fine-tune, deploy, and scale AI on one platform. The platform has processed more than 20 billion inference requests. We closed a $100M Series A in June 2026. We're at an inflection point for AI infrastructure, and we're building the platform the next generation of developers will depend on.We're a small, remote-first team. We take ownership seriously, move fast, and ship work that more than a million developers rely on every day. We're looking for people who care deeply, build with urgency, and want to matter at scale.

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