Senior QA Engineer (Object Storage)

QA Automation Engineer – Object Storage

Denver, CO (Hybrid) | Competitive base + benefits | Full-time

An established leader in enterprise data storage is building a brand-new object storage engineering team in Denver and is hiring a QA Automation Engineer to own test automation for the platform from day one. This is hands-on quality engineering for an exabyte-scale object storage system – the S3 data path, durability, and the movement of data across storage tiers – for someone who likes breaking distributed systems before customers do.

What you'll do

• Design, build and maintain automated test coverage for object storage features across the S3 data path, durability and data-movement functionality.
• Develop component, integration, system, regression and failure-injection tests that validate correctness and reliability at scale.
• Validate S3 API behaviour, compatibility, error handling and data integrity using the AWS SDKs, tools and automated test frameworks.
• Build automated coverage for failure scenarios – node loss, disk faults, partial writes, network disruption and recovery.
• Integrate automated tests into CI pipelines and improve test reliability, execution time, diagnostics and reporting.
• Own the team's automated test strategy and work with developers to define coverage and acceptance criteria early in the development cycle.
• Investigate failures, reproduce complex issues and help isolate defects across distributed system components.

What we're looking for

• Strong test-automation / SDET experience for complex software systems.
• Hands-on coding in Go and/or Python.
• Experience testing APIs and distributed or networked systems.
• A good grasp of concurrency, failure handling and data-integrity concepts.
• Experience with CI/CD pipelines and source control.
• Object storage experience (S3 or S3-compatible) – a strong advantage, and the hardest part of this role to find.

Nice to have

• Familiarity with object storage internals – data placement, erasure coding, and tiering across NVMe, HDD and tape.
• Experience with failure-injection / resilience testing at scale.
• Background in a storage, distributed-systems or infrastructure environment.
• Comfort using AI-assisted development tools in day-to-day engineering.

What's on offer

• Competitive base salary, depending on experience.
• Medical, dental and vision coverage.
• Health Savings and Flexible Spending Accounts.
• Company-paid life, AD&D and disability insurance.
• 401(k) retirement plan with employer contribution.
• Employee Assistance Program and wellness benefits.
• Hybrid working (3 Days), Denver, CO.
• ** Must have full working rights in the United States.

This role is live and interviews will be happening imminently, the interview process is 3 stages and average time from Recruiter Screening call (Human, Not AI), to Offer/ Decision is around 2 - 3 weeks.

Please apply to the job advert if your skills and experience align. We welcome serious relocators to apply.