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Cloud Quality Engineer

Cerebras· Software Engineering
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Hybrid (Bengaluru, IND)Full-timePosted 3mo ago

About the role

Cloud Quality Engineer responsible for end-to-end quality of weekly cloud releases, building scalable test infrastructure, and driving quality across distributed cloud systems in Cerebras Inference Cloud.

Responsibilities

  • Release Quality Ownership: Drive weekly cloud release qualification end to end. Read every PR in the release branch first-hand; understand what changed; decide where the risk is; and design the qualification that exercises the actual risk. Be the final voice before a release ships.
  • Test Infrastructure at Scale: Build and evolve the test infrastructure - functional, integration, performance, and fault for the Inference Cloud platform. Plan for 20x growth in coverage, environments, and traffic.
  • End-to-End System Understanding: Reason through the full stack — client SDK, API, gateway, inference software, driver, hardware. Know enough to debug from any layer and to test the right thing.
  • Code Review with Intent: Read and review developer PRs with genuine understanding of what each change does and what its blast radius is. Test the change's actual impact, not its surface area.
  • Automation Expansion: Increase automation coverage continuously. Fix flaky tests rather than tolerate them. Use AI tooling effectively to accelerate test creation, debugging, and analysis.
  • Quality Discipline: Choose high-value tests over volume metrics. Drive the team's standards for what "tested" means and what "ready to ship" means.
  • Cross-Team Operation: Work with platform, ML, infrastructure, and product teams across timezones. Influence quality outcomes without owning every team's roadmap.

Qualifications

  • 5+ years of experience in quality engineering, test engineering, or a closely related role, with substantial individual contributor experience on large-scale distributed systems or cloud infrastructure.
  • Deep cloud platform experience, preferably AWS - networking, compute orchestration, container platforms, and multi-region production services.
  • Track record of building scalable test infrastructure - frameworks, harnesses, environments, and automation that scale with the system under test.
  • Strong systems debugging and reasoning. You can take an unfamiliar failure and follow it through layers of the stack to a root cause.
  • Strong proficiency in at least one backend language (Python, Go, or C++), sufficient to read production code, write production-grade tests, and contribute infrastructure code directly.
  • Excellent written and async communication. You operate effectively across time zones and in environments where most decisions get made in writing.
  • Self-direction under ambiguity. You frame problems, make trade-off decisions, and push back when quality is at risk - without waiting to be asked.
  • Experience with Cloud infrastructure, model serving systems, or GPU accelerated workloads is a strong plus.
  • Experience using AI tooling (LLMs, coding assistants, agents) to accelerate test development, triage, or analysis is a plus.

Skills

Required:Quality engineering leadership in cloud environmentsCloud platform experience (AWS)Test infrastructure design and scalingBackend programming (Python, Go, or C++)System debugging and cross-layer reasoning
Last updated Aug 30, 2026. Interested? Apply on the company site.

About Cerebras

Cerebras is the go-to platform for fast and effortless AI training. Learn more at cerebras.ai.

Cerebras is the go-to platform for fast and effortless AI training.

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