QA Automation/DevOps Engineer For Mirantis KCM Team
Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications.
Job Description
Testing Strategy & Leadership
- 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.
Architecting Test Systems
- 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.
Automation & Scalability
- 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.
Mentorship & Technical Influence
- 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.
Quality Advocacy & Continuous Improvement
- 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.
Qualifications
Education
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Experience: 10+ years in software testing or quality engineering roles, with 4+ years focused on Kubernetes, cloud-native applications, and distributed systems.
- Proven leadership experience in building and scaling test strategies in enterprise-grade environments.
Technical Proficiency
- Deep understanding of Kubernetes internals, cluster lifecycle management, Helm, service meshes (e.g., Istio or Linkerd), and network policies.
- Strong scripting and automation capabilities (Python, Pytest, Bash, etc.).
- Familiarity with observability stacks (Prometheus, Grafana, Jaeger), Kubernetes security (RBAC, secrets management), and performance benchmarking tools (e.g., K6).
- Solid grounding in cloud architecture (AWS, Azure, GCP), infrastructure provisioning, and containerized CI/CD.
- 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 environments.
Leadership & Collaboration
- Exceptional problem-solving and architectural thinking.
- Experience influencing cross-functional teams and senior leadership.
- Excellent verbal and written communication skills for technical and executive-level audiences.
- Mentorship and coaching of 1 or more junior members on the team especially around testing fundamentals, troubleshooting, and automation.
Preferred Extras
- Contributions to open-source Kubernetes or QA tooling projects.
- Experience implementing chaos engineering in Kubernetes environments.
- Certifications such as CKA, CKAD, or AWS Certified DevOps Engineer.