QA Automation/DevOps Engineer, Mirantis

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• 1+ years in software testing/DevOps or quality engineering roles
• Basic understanding of Software lifecycle management, Linux, Docker, Networks
• Scripting and automation capabilities (Python, Pytest, Bash, etc.)
• Familiarity with observability stacks (Prometheus, Grafana, Jaeger), Kubernetes security (RBAC, secrets management)
• Basic understanding of cloud (AWS, Azure, or GCP), infrastructure provisioning, and containerized CI/CD
• Bash scripting and debugging
• Problem-solving and architectural thinking
• Excellent verbal and written communication skills for technical and executive-level audiences

Desirable

• 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
• 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