Senior Staff Quality Engineer - S3

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Staff Quality Engineer - S3 in United States.

This role offers a unique opportunity to shape the quality engineering strategy for large-scale, high-performance storage systems powering some of the most demanding AI and data-intensive workloads in the world. You will be responsible for ensuring correctness, performance, and reliability across an S3-compliant storage stack, working at the intersection of systems software, distributed architectures, and advanced testing methodologies. The position requires deep technical expertise and a proactive mindset to identify risks early and embed quality throughout the development lifecycle. You will collaborate with global engineering teams to define test strategies, improve automation frameworks, and validate complex system behavior under real-world conditions. In this highly impactful role, you will also contribute to performance, scalability, and protocol-level validation in mission-critical environments. This is an environment built for engineers who thrive on solving deep technical challenges and driving engineering excellence at scale.

• Own and evolve the test strategy and automation framework for an S3-compliant high-performance storage system
• Define quality plans and testing approaches with a strong shift-left mindset, ensuring early defect detection
• Participate in design and architecture reviews to identify testability gaps, risks, and quality improvements
• Architect and execute system-level test coverage for file systems, storage correctness, and S3 protocol compliance
• Design validation strategies for new and complex features, including research-driven testing approaches
• Drive quality across the full SDLC, from design through release validation and production deployment
• Support production issue triage, debugging, and defect reproduction in complex distributed environments
• Mentor and guide junior QA engineers while embedding quality practices across development teams
• Improve automation, performance validation, and regression coverage for scalable systems

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Requirements:

• 12+ years of experience in systems-level software quality engineering or similar technical roles
• Strong programming expertise in C/C++, with advanced scripting skills in Python and Shell
• Deep knowledge of Linux systems, including file systems, kernel behavior, and low-level system interfaces
• Strong understanding of OS fundamentals and system architecture for test design and defect analysis
• Experience with open-source development toolchains (gcc, g++, gdb, git)
• Proven ability to design robust test strategies that go beyond functional “happy path” validation
• Experience testing concurrent and parallel systems with focus on correctness and reliability
• Strong understanding of user-space I/O frameworks such as FUSE and SPDK
• Excellent communication skills with ability to collaborate across distributed engineering teams
• Experience with S3 protocol behavior, object storage systems, or distributed storage is highly desirable
• Exposure to performance engineering, RDMA, or high-speed networking concepts is a strong plus
• Agile/Scrum experience and familiarity with large-scale engineering workflows

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Benefits:

• Competitive compensation aligned with senior-level expertise and market benchmarks
• Opportunity to work on cutting-edge AI and high-performance storage technologies
• Remote or flexible work arrangements depending on role and team structure
• Exposure to global engineering teams and large-scale distributed systems
• Strong focus on technical growth, innovation, and hands-on engineering impact
• Career development opportunities in advanced systems and quality engineering domains
• Inclusive and collaborative engineering culture focused on excellence and ownership
• Participation in challenging, mission-critical projects shaping the future of AI infrastructure