Senior Software Maintence Engineer

Red Hat is looking for a Senior Software Maintenance Engineer to help a new team aimed at improving the long-term product experience of our Red Hat OpenShift AI(RHOAI) customers. In this role, you will work closely with Product Engineering to deliver extended product maintenance work, including handling bugs and CVEs in extended life streams of Red Hat OpenShift AI. You'll be actively driving all aspects of Red Hat OpenShift maintenance for a subset of product components focused on software development that goes beyond the normal maintenance phase of Red Hat OpenShift AI minor releases. You will contribute to the patch review process, the development and execution of backports, test automation and test plans, and the creation of automation tools to improve the efficiency, flexibility, and quality of Red Hat’s patch delivery to customers. You will provide technical leadership for engineers within the team. 

• Contribute to the development of new Red Hat OpenShift AI product maintenance offerings, aiming to make Red Hat a global leader in long-term product experience.

• Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling.

• Collaborate with cross-functional teams to identify opportunities for AI integration within the software development lifecycle, driving continuous improvement and innovation in engineering practices; share use cases for successful experiments with stakeholders for broader use.

• Resolve and address critical issues that have an impact on long-term regional or global business success of Red Hat OpenShift AI

• Work within the Red Hat OpenShift portfolio and assist the delivery of maintenance streams

• Collaborate with developer and QE counterparts and DevOps team across the globe to ensure the development and delivery of fixes meet the schedule requirements and high quality standards expected and required by Red Hat customers

• Diagnose the root cause of failures

• Backport CVE and bug fixes to stable release streams

• Develop, maintain, and monitor tests and onboard automated tests into a continuous integration workflow

• Become responsible for our product quality, continuous integration and delivery, respond to security threats

• Maintain clear and effective communication with stakeholders and team members, ensuring proper visibility of quality efforts.

• Maintain clear and comprehensive documentation for tests, test cases, and testing procedures.

• Participate in code reviews to ensure test coverage and quality standards.

• Stay updated on emerging testing tools, technologies, and best practices.

• Provide technical leadership in the team, contribute to setting the direction the team follows for automation,  and mentor junior engineers. 

• Proficiency in at least one programming language between Python or Go

• Experience testing applications developed in Go, Python, or other programming languages.

• Hands-on experience with automated testing frameworks in the context of back-end services and web apps (e.g.: PyTest, Cypress)

• Understanding of CI/CD practices and experience working with tools like Jenkins, GitHub Actions, GitLab CI, or similar.

• Strong background in Kubernetes, OpenShift, or other cloud-native technologies.

• Familiarity with Agile/Scrum methodologies.

• Ability to quickly learn new tools and technologies and guide others in their use.

• Proficiency with source code management tools like Git.

• Hands on experience in release pipeline preparation & Builds creation

• Hands on experience in Builds validation & smoke testing, including upgrade testing

• Ability to quickly learn and use new tools and technologies

• Good system understanding and troubleshooting capabilities

• Good Problem solving and troubleshooting skills with Root Cause Analysis experience

• Ability to work independently in a fast-paced, ever-changing environment

• Excellent written and verbal communication skills

• Experience with team technical leadership 

The following will be considered a plus:

• While a Bachelor’s degree or higher in computer science or a related discipline is valued, we prioritize practical experience and technical prowess

• Knowledge of the AI and machine learning landscape, including basic MLOps concepts

• Understanding of how Open Source and Free Software communities work

• Experience with public cloud services (AWS, GCE, Azure)

• Experience working with or deploying MLOps platforms

About Red Hat

Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Inclusion at Red Hat
Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.