Cloud Quality Engineer
Cerebras Systems2 months ago
Bengaluru, IndiaSenior
Responsibilities
- Own weekly cloud release qualification end to end and provide final release sign-off.
- Build and evolve scalable functional, integration, performance, and fault-test infrastructure for the Inference Cloud platform.
- Analyze the full stack from client SDK and API through gateway, inference software, driver, and hardware to identify root causes.
- Review developer pull requests, understand their blast radius, and design tests that exercise the actual risk.
- Expand automation coverage, eliminate flaky tests, and use AI tooling to accelerate test creation, debugging, and analysis.
- Set quality standards for testing and release readiness, prioritizing high-value tests over volume metrics.
- Collaborate with platform, ML, infrastructure, and product engineering teams across time zones to influence quality outcomes.
Requirements
- 5+ years of experience in quality engineering, test engineering, or a closely related role, including substantial individual-contributor work on large-scale distributed systems or cloud infrastructure.
- Deep cloud platform experience, preferably AWS, including networking, compute orchestration, container platforms, and multi-region production services.
- Demonstrated experience building scalable test frameworks, harnesses, environments, and automation.
- Strong systems debugging and reasoning skills across unfamiliar, multi-layered failures.
- Strong proficiency in at least one backend language: Python, Go, or C++.
- Excellent written and asynchronous communication skills, with the ability to work across time zones.
- Ability to self-direct, frame ambiguous problems, make trade-off decisions, and challenge quality risks.
- Experience with cloud infrastructure, model serving systems, or GPU-accelerated workloads is preferred.
- Experience using AI tooling such as LLMs, coding assistants, or agents for test development, triage, or analysis is preferred.
Benefits
- Opportunity to build and work on a breakthrough AI platform and one of the fastest AI supercomputers.
- Opportunities to publish and open-source cutting-edge AI research.
- Startup vitality with stated job stability and a simple, non-corporate work culture.
- Continuous learning, growth, and support in an inclusive and diverse work environment.
About Cerebras Systems
Cerebras Systems designs and sells AI compute systems built around its wafer-scale WSE-3 processor, delivered as the CS-3 appliance and via the Cerebras Cloud. It targets enterprises, model labs, and government users needing fast training and inference, and offers on‑prem and cloud deployments. Privately held and headquartered in Sunnyvale, California, the company announced a multi-year partnership with OpenAI to deploy large-scale inference capacity.