Member of Technical Staff- Quality Engineer
Pure StorageBangalore, India
Full Time
Posted September 10, 2026
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Job Description
And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events.
Key Responsibilities
- We are hiring a senior quality engineer to own System Testing for Pure’s FlashArray products. You will validate stability, resiliency, and performance under sustained, production‑like workloads , far beyond basic functional testing.
- You will design and run multi‑week, customer‑like scenarios that combine workloads, failovers, upgrades, and fault injections, and use the insights to influence architecture, design, and release decisions.
- This is a hands‑on, high‑impact role at the intersection of architecture, systems, and large‑scale testing—acting as a key quality gate before releases reach Pure’s customers.
- Own System Testing strategy for releases Define System Testing strategy and test plans for major features and releases, focusing on stability, longevity, and end‑to‑end behavior, not just feature correctness.
- Design realistic, high‑value scenarios Build scenarios that mirror Pure customer environments: mixed workloads (block, file, object), long‑running IO, failovers, NDUs, hardware events, and background operations (replication, snapshots, quotas, etc.), combining automation with targeted “tortures”.
- Drive execution and triage on System Testing beds Own System Testing environments (arrays, initiators, OSes, accessories); keep them healthy, representative, and well‑instrumented. Monitor runs, triage failures quickly, separate infra issues from product bugs, and file high‑quality defects with clear workload, scale, logs, and impact—driving them to closure with Dev, PM, and Release teams.
- Be a key voice in release readiness Act as a primary quality gate for Release Candidates: define System Testing entry/exit criteria, sign‑off requirements, and soak expectations (for example, 24–48h+ without critical events). Summarize findings, risks, and recommendations and provide data‑driven input on go/no‑go decisions.
- Lead technically and mentor others Coach mid‑level and junior QE engineers (System Testing and system test) on test design, debugging, triage, and long‑running validation best practices. Refine System Testing processes, playbooks, and governance in partnership with engineering managers and technical leaders.
- Advance automation, tooling, and observability Partner with automation teams to extend System Testing workflows (workload drivers, torture suites, health checks, dashboards). Improve observability for System Testing: metrics, alerting, and automated log/triage helpers that make issues obvious and actionable.
Requirements
- 10+ years in software QA / system test / performance / reliability engineering , with significant experience in system‑level or longevity testing of complex distributed or storage systems.
- Strong understanding of storage concepts (block, file, snapshots, replication, HA/failover, NDUs) and their behavior under sustained load and fault conditions.
- Proven ability to design and execute long‑running scenarios that surface race conditions, memory leaks, scaling issues, and resiliency gaps.
- Strong debugging skills across host, network, storage system, logs, and metrics.
- Hands‑on experience with Linux and at least one of VMware, Windows, or Kubernetes.
- Solid experience with test automation (Python, shell), CI pipelines, and result dashboards.
- Demonstrated ability to lead cross‑functional collaboration with Development, System Test, Release, and Support.
- Clear written and verbal communication; comfortable presenting complex findings and risk assessments to senior engineers and leaders.
- Directory services and identity:AD, LDAP, Kerberos, ID mapping — and how per-tenant auth domains explode the test matrix.
- Linux systems skills:shell, networking (VLANs, sub-interfaces, routing,ip,tc), service debugging, log and core analysis at scale
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