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Mirantis is seeking an experienced Senior Automation Software Tester to join the Mirantis Secure Registry (MSR) 4 product team. MSR 4 is an enterprise-grade container registry solution built on Harbor (CNCF graduated project) that integrates with Kubernetes to provide security controls for cloud-native development and secure software supply chains.
In this role, you will drive the overall QA strategy for MSR, Kubernetes, and cloud-native environments, aligning quality goals with business objectives and release deadlines. You will evaluate and champion best-in-class testing practices for distributed systems and lead risk analysis and test planning for large-scale, multi-cloud registry and container orchestration scenarios.
Key responsibilities include architecting test frameworks and infrastructure for validating microservices in multi-cluster and hybrid-cloud environments, designing complex test scenarios that simulate production-like workloads with resource scaling, failure injection, and recovery across distributed clusters. You will spearhead development of scalable, maintainable test automation integrated with CI/CD tools (Jenkins, GitHub Actions), leveraging Kubernetes APIs, Helm, and service mesh tools to build comprehensive automation coverage including system health, failover behavior, and network resilience. You will promote test infrastructure-as-code practices and mentor QA engineers and developers in advanced testing techniques such as risk-based testing, chaos engineering, and performance/load testing.
You will serve as the QA authority in design reviews, production readiness assessments, and incident retrospectives, collaborating with DevOps engineers to refine monitoring and debugging strategies. You will establish quality gates, release readiness metrics, and data-driven feedback loops to ensure production quality, drive initiatives to integrate performance, security, and chaos testing into the development lifecycle, and advocate for a culture of quality across teams.
Mirantis is a Kubernetes-native AI infrastructure company enabling organizations to build and operate scalable, secure infrastructure for modern AI and machine learning applications. The company combines open-source innovation with deep Kubernetes expertise to help platform engineering teams deliver production-ready developer platforms across any environment.
REQUIREMENTS:
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- 10+ years in software testing or quality engineering roles, with 4+ years focused on Kubernetes, cloud-native applications, and distributed systems
- Proven leadership experience building and scaling test strategies in enterprise-grade environments
- Deep understanding of Kubernetes internals, cluster lifecycle management, Helm, service meshes (Istio, Linkerd), and network policies
- Strong scripting and automation capabilities (Python, Pytest, Bash)
- Familiarity with observability stacks (Prometheus, Grafana, Jaeger), Kubernetes security (RBAC, secrets management), and performance benchmarking tools (K6)
- Solid grounding in cloud architecture (AWS, Azure, GCP), infrastructure provisioning, and containerized CI/CD
- Moderate to advanced Linux knowledge: 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)
- Exceptional problem-solving and architectural thinking
- Experience influencing cross-functional teams and senior leadership
- Excellent verbal and written communication skills for technical and executive audiences
- Mentorship and coaching experience with junior team members on testing fundamentals, troubleshooting, and automation
PREFERRED:
- 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
