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The Red Hat Engineering team is looking to solve the problem of provisioning and lifecycling Managed OpenShift services across major cloud platforms, including Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure.

Requirements

• 2+ years of professional experience working in a Linux environment, demonstrating proficiency in at least one programming language such as Golang, Python, Java, C, or C++
• Demonstrated experience with microservices architecture and concepts, including a solid understanding of APIs, versioning strategies, and monitoring tools
• Proficiency in testing methodologies, including unit, integration and end-to-end testing.
• Knowledge of at least one major cloud provider, such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure.
• Hands-on experience with container-related technologies like Kubernetes or OpenShift, or expertise in virtualization or distributed systems.
• Hands-on experience with CI/CD technologies and test automation frameworks and tools.
• Proven expertise in troubleshooting and root cause analysis

Responsibilities

• Playing an active part in designing and developing new features and enhancements for various projects centered around Managed OpenShift.
• Taking primary responsibility for product quality, you will design, develop, and execute comprehensive test strategies, including owning automated test suites and fostering a quality-focused culture by empowering the team to rigorously test, identify failure points, and 'break things' to build more resilient and reliable solutions.
• Championing automation of operational and testing workflows to continuously improve the development lifecycle and ensure robust continuous integration (CI) and continuous delivery (CD) processes
• Participating in AI-assisted code review including design and architectural reviews, offering crucial feedback on functionality, scalability, and performance.
• Coordinating effectively with team leads, SREs, architects, and other engineers on product design and architecture decisions, with a keen eye on testability and quality attributes.
• Collaborating with cross-functional teams to drive the adoption of AI in our engineering practices and share successful use cases.
• Publicizing the team's valuable work through various channels such as blogs, web postings, and conference talks.

Other

• A Bachelor's degree in computer science or equivalent working experience is required.
• Excellent written and verbal communication skills in English.
• Ability to quickly learn new technologies and adapt to evolving technical landscapes.
• Paid time off and holidays
• Comprehensive medical, dental, and vision coverage