Software Tester

Company Description

Mirantis is an open cloud company that helps organizations achieve digital self determination by giving them complete control over their strategic infrastructure. The company combines intelligent automation and cloud-native expertise for managing and operating virtual machines, containers, Kubernetes, and cloud environments.

We empower developers and innovators to create extraordinary products and services by automating the discovery, integration, and operation of the best cloud and open source technologies for their unique needs.

https://www.mirantis.com/

Job Description

We are seeking an experienced and detail-oriented Software Tester with a strong background in testing Kubernetes and multi-cluster environments. In this role, you will design and execute comprehensive testing strategies for cloud-native applications deployed in complex containerized ecosystems. You will collaborate with cross-functional teams, including developers, DevOps engineers, and product managers, to ensure our software solutions meet the highest standards of functionality, scalability, and reliability in distributed Kubernetes environments.

Key Responsibilities

Test Planning and Strategy

• Develop detailed testing strategies and plans specific to Kubernetes-based and multi-cluster environments.

• Collaborate with DevOps and development engineering teams to understand CI/CD architectures and build pipelines.

• Capable of understanding and evaluating risks related to distributed, containerized, multi-cluster and multi-cloud systems.

Test Case Development

• Create and maintain test cases tailored to Kubernetes clusters, focusing on container orchestration, resource scaling, networking, and cluster resiliency.

• Develop test scenarios for microservices running in multi-cluster environments, ensuring compatibility and performance.

Testing Execution

• Conduct functional, integration, and system testing for containerized workloads across multiple clusters.

• Validate configurations, resource limits, perform negative testing and perform exploratory testing within Kubernetes clusters.

• Execute performance and scalability tests to evaluate system behavior under varying loads.

Defect Management

• Identify and document issues related to Kubernetes configurations, networking, and container orchestration.

• Track and manage defects using tools such as JIRA and work closely with engineering teams to resolve them.

Automation

• Build and maintain automation frameworks for testing Kubernetes workloads using tools like Helm, kubectl, and Kubernetes APIs.

• Automate testing pipelines within CI/CD workflows using Jenkins, GitHub Actions, or similar tools.

• Write scripts for validating Kubernetes deployments, service health, and cluster configurations.

Team Collaboration and Leadership

• Mentor junior testers on Kubernetes-related testing strategies and best practices.

• Act as the QA representative in technical discussions about Kubernetes deployments and multi-cluster architectures.

• Contribute to improving QA processes for cloud-native environments.

Reporting

• Provide detailed reports on test coverage, results, and metrics related to Kubernetes-based applications.

• Collaborate with stakeholders to identify and address gaps in testing coverage.

Qualifications

Education

• Bachelor’s degree in Computer Science, Information Technology, or a related field.

Experience

• 5+ years of experience in software testing, with at least 2 years focusing on Kubernetes and containerized applications.

Technical Skills

• In-depth knowledge of Kubernetes, Helm, and container orchestration.

• Hands-on experience testing applications in multi-cluster and hybrid-cloud environments.

• Proficiency in scripting languages like Python, Bash, or Go for automation.

• Familiarity with tools like Kubectl, Prometheus, Grafana, etc.

• Experience with CI/CD pipelines and tools such as Jenkins and github actions.

• Strong understanding of cloud providers including management of cloud resources and provisioning/configuration of such resources (AWS, Azure, Google Cloud)

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