Engineering

About the job

Are you ready to join a game-changing open source AI platform that harnesses the power of hybrid cloud to drive innovation?

Red Hat OpenShift AI (RHOAI) is seeking exceptional Software Engineers (across all seniority levels) to join our engineering team. This is an extraordinary opportunity to contribute to the development of the RHOAI family of products while participating in open source communities such as Kubeflow, Trusty AI, and Kserve, and be at the forefront of the exciting evolution of AI.

RHOAI delivers a robust set of technologies for Data Scientists and MLops personas such as model development, model serving, data pipelines, Kubeflow components, and Kubernetes operator development and is expanding into other areas at a high pace. By leveraging the combined strength of open source tools, and the recent developments in AI and hybrid cloud, we deliver unmatched value to our partners and customers.

The future of AI is open, presenting extensive opportunities, and RHOAI stands as a strategic focus for Red Hat. You'll join a team that fosters continuous learning, career growth, and professional development. You'll have the freedom to rapidly design, secure, build, test, and release groundbreaking AI components.

Are you ready to develop solutions combining open source, hybrid cloud, and AI? Come join the Red Hat OpenShift AI team!

What you will do

• Participate in AI/ML upstream communities to ensure the technologies work on OpenShift and can be integrated with RHOAI

• Work with upstream AI/ML communities to evaluate new AI/ML related technologies from partners and create examples of integrations between their technology and RHOAI

• Integrate new open source AI/ML components into Red Hat OpenShift AI

• Present at OpenShift/Kubernetes, and AI/ML related technology conferences and internally within the AI/ML communities of practice

• Own design reviews and automated testing for major product features and bug fixes. You'll be responsible for developing test strategy and frameworks, designing and implementing automated tests, creating and carrying out test plans, researching new features, developing automated tests, and maintaining and enhancing test frameworks.

• Experience with functional and non-functional testing

• Serve as an internal advocate for our customers, providing data-driven product quality metrics to all major stakeholders

• Help grow a company-wide community of Quality enthusiasts that is passionate about our customers' needs

• Run technical initiatives that grow, improve, and scale our existing processes

• Contribute to the development of the Open Data Hub open source project and Red Hat Openshift AI family of products.

• Work with and develop testing plans for new open source AI components from Open Data Hub and Red Hat OpenShift AI.

• Use communication skills to communicate with other teams of Red Hat engineers, product managers, consultants, and management across the globe.

What you will bring

• Ability to work Hybrid in Boston MA or Raleigh NC

• Experience with AI and Machine Learning platforms such as Kubeflow, Tensorflow and PyTorch

• 9+ years of software quality engineering experience including test automation using object-oriented languages; Python is preferred

• 5+ years of experience managing Linux-based systems in a production environment

• 3+ years of experience with enterprise system monitoring; knowledge of Prometheus is a plus

• 1+ year(s) of experience with Kubernetes

• Experience with Kubernetes operators

• 1+ year(s) of experience with containers on Linux

• Experience with Jenkins - Creating Jenkins pipelines, debugging tests through log analysis

• Passionate about shipping products that people love.

• Passionate about making complicated things simple.

• Enjoy working in an open organization, where everyone's contributions are valued.

• Knowledge of the web, HTTP, and the automated testing space.

• Python, Go, Git, Continuous Integration, containers, Jenkins and/or CI.

• Experience working with Kubernetes/OpenShift, troubleshooting issues and working with YAML

• Ability to quickly learn and use new tools and technologies

Nice to Haves:

• Experience with Go programming language

• Experience creating Ansible automation scripts

• Experience with big data storage techniques such as Parquet, Avro, and S3

• Bachelor's degree or higher in computer science or other related discipline

• Experience with web applications using HTML/CSS and JavaScript.

• Experience with a JavaScript framework like React.

• Experience with the Robot test framework.

• Experience with modern CSS frameworks like Bootstrap or Foundation

• Familiarity with back-end technologies like Node.js

• Understanding of DevOps methodology

The salary range for this position is $127,890- $182,520. Actual offer will be based on your qualifications.

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