Job Description

About The Job

Are you ready to create open, hybrid, and intelligent solutions? Join the Red Hat OpenShift AI team!

Red Hat OpenShift AI (RHOAI) delivers a powerful suite of technologies designed for AI Engineers, Data Scientists and MLOps professionals—covering model development, model serving, data pipelines, Kubeflow components, and Kubernetes operator development. The platform continues to evolve rapidly, expanding into new areas at an impressive pace.

By combining the strength of open source innovation with the latest advances in AI and hybrid cloud, RHOAI empowers organizations to build, scale, and operationalize AI solutions with unmatched flexibility and value.

At Red Hat, our commitment to open source innovation extends beyond our products - it’s embedded in how we work and grow. Red Hatters embrace change – especially in our fast-moving technological landscape – and have a strong growth mindset. That's why we encourage our teams to proactively, thoughtfully, and ethically use AI to simplify their workflows, cut complexity, and boost efficiency. This empowers our associates to focus on higher-impact work, creating smart, more innovative solutions that solve our customers' most pressing challenges.

What you will do

• Lead the design and development of new component solutions for RHOAI.
• Provide technical guidance and innovation insights to engineering and product leadership.
• Contribute to the architecture and design of RHOAI, ensuring scalability, reliability, and an exceptional user experience.
• Define and implement policies that ensure RHOAI components are observable, secure, and scalable.
• Design cross-cutting plans to ensure consistent implementation across teams and components.
• Apply CI/CD best practices to develop and deliver high-quality software solutions.
• Contribute to and collaborate with upstream communities such as Kubeflow, MLflow, Kubernetes ensuring smooth integration and operation on OpenShift.
• Represent Red Hat by presenting at OpenShift/Kubernetes and AI/ML-related conferences, and by engaging in internal and external AI/ML communities of practice.
• Collaborate with open source communities to evaluate emerging AI, ML, and data technologies, and create integration examples with RHOAI.
• Mentor and guide engineers, fostering technical excellence and open collaboration.
• Experiment with emerging AI technologies relevant to software development, identifying opportunities to enhance existing workflows and tools.

What you will bring

• 8+ years of progressive experience in software engineering
• Proven experience in a technical leadership role, demonstrating the ability to guide teams, provide technical direction, and influence decisions .
• Proven innovation skills and a passion for technology.
• Strong software architecture background, ensuring consistency and technical excellence across the technology stack.
• Excellent communication skills, with fluency in English.
• Solid understanding of the Linux operating system.
• Strong experience with the Go programming language.
• Demonstrated expertise in Python.
• Experience building and deploying containerized applications, including operator-based install and upgrade processes.
• Deep understanding of open source software communities and collaboration models.
• Knowledge of Kubernetes architecture, operators, and controllers.
• Experience troubleshooting complex issues in distributed systems.
• Hands-on experience developing for public cloud services (AWS, GCP, Azure).
• Demonstrate proficiency in utilizing LLMs (e.g., Google Gemini), as relevant, for tasks such as brainstorming solutions, deep research, summarizing technical documentation, drafting communications, summarizing complex technical information, and enhancing problem-solving efficiency across the development lifecycle.
• Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.

The Following Are Considered a Plus

• Security background or experience integrating security best practices.
• Knowledge of the Prometheus monitoring stack.
• Bachelor’s degree or higher in Computer Science or a related field.

The salary range for this position is $148,540.00 - $245,050.00. Actual offer will be based on your qualifications.

Pay Transparency

Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.

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.

Benefits

• Comprehensive medical, dental, and vision coverage
• Flexible Spending Account - healthcare and dependent care
• Health Savings Account - high deductible medical plan
• Retirement 401(k) with employer match
• Paid time off and holidays
• Paid parental leave plans for all new parents
• Leave benefits including disability, paid family medical leave, and paid military leave
• Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!

Note:

These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.

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.

Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.

Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.

Job Tags

Permanent employment, Full time, Contract work, Work experience placement, Work at office, Remote work, Flexible hours,

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