Senior QA Engineer

Mirantis, Inc.; United States; On-site; USD 180,000 - 260,000; Full time

Job summary

Mirantis, Inc. is seeking a seasoned QA leader to shape testing for Kubernetes and cloud-native platforms. You will steer risk analysis, design scalable test frameworks, and drive automation across multi-cluster environments.

The role emphasizes mentoring, collaboration with DevOps, and ensuring production-like readiness through comprehensive test coverage and performance benchmarks.

Qualifications

• 10+ years in software testing or quality engineering
• 4+ years focused on Kubernetes, cloud-native apps, distributed systems
• Familiarity with observability stacks (Prometheus, Grafana, Jaeger) and Kubernetes security
• Deep understanding of Kubernetes internals, cluster lifecycle, Helm and service meshes
• Certifications such as CKA, CKAD, or AWS DevOps Engineer

Responsibilities

• Define and drive QA strategy for Kubernetes and cloud-native environments
• Lead risk analysis and test planning for large-scale multi-cloud infra
• Architect test frameworks and infrastructure for validating microservices across clusters
• Oversee design of complex test scenarios simulating production-like workloads
• Develop scalable test automation integrated with CI/CD pipelines
• Promote infrastructure-as-code for repeatable, reliable test infra
• Mentor QA engineers and developers in advanced testing techniques
• Serve as QA authority in design reviews and release readiness
• Collaborate with DevOps to refine monitoring and debugging for testing in CI/CD

Skills

Leadership

Cross-functional collaboration

Mentorship

Executive communication

Problem solving

Test strategy

Education

Bachelor's or Master's in CS/Engineering

Tools

Kubernetes

Helm

Prometheus

Grafana

Jaeger

K6

Terraform

GitHub Actions

Job description

• Contribute to driving the overall QA strategy for Kubernetes and cloud-native environments, aligning quality goals with business objectives and release deadlines
• Evaluate and champion best-in-class testing best practices and frameworks for distributed systems
• Lead risk analysis and test planning for large-scale, multi-cloud infrastructure and container orchestration
• Architect test frameworks and infrastructure for validating microservices and infrastructure components in multi-cluster and hybrid-cloud environments
• Oversee the design of complex test scenarios simulating production-like workloads, resource scaling, failure injection, and recovery across distributed clusters
• Spearhead the development of scalable and maintainable test automation integrated with CI/CD (Jenkins, GitHub Actions, etc.)
• Leverage Kubernetes APIs, Helm, and service mesh tools to build comprehensive automation coverage, including system health, failover behavior, and network resilience
• Promote test infrastructure-as-code and drive IaC forward on the team making sure the infrastructure code is repeatable, extensible and reliable
• Mentor QA engineers and developers in advanced testing techniques such as: risk-based testing, chaos engineering, performance and load testing etc
• Serve as the QA authority in design reviews, production readiness assessments, and incident retrospectives(escaped defects)
• Collaborate with and devops engineers to refine monitoring, alerting, and debugging strategies for testing automation being run in CI/CD
• Establish quality gates, release readiness metrics, and data driven feedback loops to ensure released software is production quality
• Drive initiatives to integrate performance, security, and chaos testing into the development lifecycle
• Advocate for a culture of quality across teams and influence architecture decisions with testing in mind

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related fieldProven leadership experience in building and scaling test strategies in enterprise-grade environments10+ years in software testing or quality engineering roles, with 4+ years focused on Kubernetes, cloud-native applications, and distributed systemsFamiliarity with observability stacks (Prometheus, Grafana, Jaeger), Kubernetes security (RBAC, secrets management), and performance benchmarking tools (e.g., K6)Deep understanding of Kubernetes internals, cluster lifecycle management, Helm, service meshes (e.g., Istio or Linkerd), and network policiesSolid grounding in cloud architecture (AWS, Azure, GCP), infrastructure provisioning, and containerized CI/CDStrong scripting and automation capabilities (Python, Pytest, Bash, etc.)Moderate to advanced linux knowledge and proficiency is required: Bash scripting and debugging, systemd/logs, networking/firewalling/routing, certificate/PKI management, containers (Docker/containerd), and Kubernetes tooling (kubectl/Helm with OCI registries, GitOps/Flux) to install, test, and troubleshoot multi-cluster environmentsExperience influencing cross-functional teams and senior leadershipExcellent verbal and written communication skills for technical and executive-level audiencesMentorship and coaching of 1 or more junior members on the team especially around testing fundamentals, troubleshooting and automationExceptional problem-solving and architectural thinkingContributions to open-source Kubernetes or QA tooling projectsExperience implementing chaos engineering in Kubernetes environmentsCertifications such as CKA, CKAD, or AWS Certified DevOps Engineer