Software Maintenance Engineer

About the Job  

Red Hat is looking for a 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 Hats patch delivery to customers.

What you will do - 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
- 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

What will you bring - Hands on experience with 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.
- Good 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.
- 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

The following will be considered a plus

- While a Bachelors 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