# Release Qualification Team Lead

**Company:** [Cerebras Systems](https://hotfix.jobs/companies/cerebras-systems)
**Location:** Bengaluru, India
**Role:** QA Engineering
**Experience:** 7+ years
**Skills:** Python, Test Automation, Test Frameworks, Release Qualification, Distributed Systems, Cloud Infrastructure, Microservices, Orchestration, Machine Learning, LLMs, Multimodal Inference, Debugging, Api Testing, Quality Engineering, Risk-Based Testing
**Posted:** 2026-07-20

> Leads weekly end-to-end release qualification for Cerebras Cloud, Inference Platform, and Inference API. The role builds a dedicated qualification team, owns triage and release decisions, expands test coverage, and mentors engineers across distributed systems and hardware-backed inference services.

## Job Description

## Responsibilities
- Drive weekly end-to-end release qualification as the accountable owner.
- Build and run a purpose-built release qualification team with planned triage capacity.
- Own the release qualification lifecycle, including test planning, release planning, documentation, and tooling.
- Own triage, debugging, and escalation during release windows, including release-blocking decisions and routing fixes to the appropriate owners.
- Expand end-to-end coverage across Cerebras Cloud, Inference Platform, and Inference API.
- Partner with the cross-organizational release qualification team as the technical counterpart for the tests.
- Distinguish regressions from flakiness and maintain records of known issues and escalation paths.
- Mentor engineers on triage, debugging practices, and qualification methodology.

## Requirements
- 7+ years of relevant industry experience in software integration, development, or quality engineering, including release qualification experience.
- Proven ownership of end-to-end release or qualification processes for complex, distributed systems.
- Strong record of debugging complex issues across distributed, scaled-out deployments under release-blocking time pressure.
- Deep expertise in automation and programming using one or more languages such as Python.
- Experience designing and building reusable test frameworks.
- Ability to lead cross-functional initiatives spanning product development, product management, and field teams.
- Sound judgment on coverage trade-offs, risk-based prioritization, and go/no-go release decisions.
- Excellent verbal and written communication skills, including presenting technical findings to engineering and leadership audiences.
- Strong organizational skills, ownership mindset, and ability to drive projects to completion.
- Experience leading and mentoring engineers across geographically dispersed teams and time zones.

## Preferred Qualifications
- Hands-on experience with machine learning workloads, including large language model or multimodal training or inference.
- Experience designing test strategies for distributed systems and cloud infrastructure.
- Experience with microservices deployment, debugging, and orchestration at scale.
- Familiarity with hardware-backed inference services and hardware/software trade-offs.
- Experience building or significantly shaping a quality engineering culture or test infrastructure.

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