Senior QA Engineer - Cloud & Storage

Responsibilities

• Test Strategy & Quality Leadership
• Define and drive QA strategies across storage, cloud-native, and distributed environments.
• Lead risk analysis, test planning, and release readiness assessments.
• Establish quality gates, release metrics, and data-driven feedback loops to ensure production-grade releases.
• Advocate for a culture of quality and influence design and architecture decisions with testing in mind.
• Test Infrastructure & Automation
• Develop, improve, and maintain scalable automated testing frameworks and infrastructure.
• Architect and manage test systems for validating storage, microservices, and hybrid-cloud workloads.
• Integrate automation into CI/CD pipelines (e.g., Jenkins, GitHub Actions), ensuring reliability and maintainability.
• Apply Infrastructure-as-Code practices to create repeatable, extensible, and resilient test environments.
• Advanced Testing & Continuous Improvement
• Execute functional, non-functional, integration, system, performance, and failover testing.
• Simulate production-like workloads, failure scenarios, and recovery testing across distributed clusters.
• Integrate chaos, performance, and security testing into the development lifecycle.
• Collaborate with DevOps and engineering teams on monitoring, debugging, and improving resilience.
• Mentorship & Collaboration
• Mentor junior QA engineers and developers in advanced testing techniques and automation practices.
• Serve as the QA authority in design reviews, incident retrospectives, and production readiness assessments.
• Work with geographically distributed teams on technical challenges and continuous quality improvements.
• Experience: 7-10+ years in software testing or quality engineering, with 4+ years in Kubernetes, storage systems, or distributed cloud-native applications.
• Programming & Automation: Strong skills in Python and shell scripting (Bash); experience with Pytest and test automation frameworks.
• Technical Proficiency:
• Kubernetes (internals, cluster lifecycle, Helm, service meshes).
• Storage subsystems (SAN, NAS, Object, SDS).
• Linux/UNIX environments (networking, system administration, debugging).
• CI/CD tools (Jenkins, GitHub Actions) and Git.
• REST APIs and observability stacks (Prometheus, Grafana, Jaeger).
• Soft Skills: Excellent English communication (written and verbal), leadership in cross-functional teams, strong problem-solving and architectural thinking.
• Preferred Extras
• Experience with OpenStack and public cloud providers (AWS, Azure, GCP).
• Contributions to open-source QA or Kubernetes projects.
• Familiarity with chaos engineering and performance benchmarking tools (e.g., K6).
• Relevant certifications (CKA, CKAD, AWS DevOps Engineer)
• What does Mirantis offer you?
• Work with an established Silicon Valley leader in the cloud infrastructure industry;
• Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies;
• Be a part of cutting-edge, open-source innovation;
• Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued;
• Professional development and training;
• Attend conferences and working groups;
• Company outings, happy hours, hackathons, and tech talks;
• Receive a competitive compensation package with a strong benefits plan.
• By submitting your resume, you consent to the processing and storage of your personal data in accordance with applicable data protection laws, for the purposes of considering your application for current and future job opportunities.
• We are a Leader for Container Management in G2 (#2 after AWS)!

Additional Information

We are seeking a highly skilled and motivated Senior/Lead QA Engineer with expertise in both cloud-native platforms and storage systems. This role combines deep technical proficiency with leadership in test strategy, automation, and quality advocacy. You will play a key part in ensuring our solutions meet the highest standards of reliability, scalability, and performance across storage subsystems, distributed systems, and Kubernetes-based environments.

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