Red Hat, Inc.
At Red Hat, we connect an innovative community of customers, partners, and contributors to deliver an open source stack of trusted, high-performing solutions. We offer cloud, Linux, middleware, virtualization, and AI technologies, together with award-winning global customer support, consulting, and implementation services. Red Hat is a rapidly-growing company supporting more than 90% of Fortune 500 companies.
Job Summary
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.
Red Hat’s Global Engineering team is looking for an experienced Software Engineer with a background in DevOps to join the Agentic and AI Engineering Tools team. In this role, you’ll contribute directly to Red Hat’s rapidly growing AI/ML family of products and will be responsible for building and maintaining the platforms and tools that integrate upstream projects for inclusion in supported Red Hat AI/ML products.
Qualified candidates will be comfortable participating in discussions and decisions around technical design and architecture, release planning, automated testing, and productization. This job role is integral to ensuring that new features, bug fixes, and updates are delivered efficiently and reliably to end-users.
The ideal candidate will be a highly collaborative individual with a passion for working on complex projects in an open organization where contributions are valued and expected from all levels. This job role will require engaging in upstream open source communities. As this is a fast-moving area of opportunity for Red Hat, the ability to communicate productively and effectively with team members, stakeholders, and Red Hat leadership is critical.
This hybrid position reports directly to the Manager of Software Engineering. You must have the ability to partner collaboratively in our Boston, MA or Raleigh, NC offices at least 3 days per week.
What you will do
Lead cross-functional efforts with Staff Engineers, Engineering, Product Management, and User Experience to define and drive customer needs and use cases.
Architect and guide contributions to a Python-based midstream automation platform in the areas of CI/CD, observability, and continuous testing.
Establish and champion best practices for automated and manual tests for Red Hat AI midstream projects/components and provide strategic status updates to key stakeholders.
Proactively identify, analyze, and lead efforts to document unwanted behavior, output, and bias in Red Hat AI models. Champion the resolution of critical issues and articulate the business impact to development teams.
Lead the engagement and representation of the team in upstream AI/ML communities, evaluating and proposing new technologies and integrations.
Lead the research and design of new features, with emphasis on model performance, scalability, automation, and bias reduction.
Initiate, own, and drive technical initiatives that grow, improve, and scale existing processes.
Act as a primary contributor and steward for the development of open-source projects that comprise Red Hat’s AI family of products.
Serve as a technical authority and lead communicator for project stakeholders, including other teams of Red Hat engineers, product managers, consultants, management, and senior leadership.
What you will bring Expert Linux administration skills, including containers
Expert Python development and troubleshooting skills
Advanced skills with writing and reading Shell scripts (e.g. bash)
Experienced in building and maintaining delivery pipelines and workflows with GitLab CI, GitHub Actions, or comparable technologies
Ability to quickly learn and use new tools and technologies.
Understanding of DevOps methodology
Following is considered a plus Experience with Pytest.
Experience with Ansible/Terraform
Experience working with Kubernetes/OpenShift, troubleshooting issues with them, and working with YAML, Kubernetes controllers, and operators.
Bachelor's degree or higher in computer science or other related discipline, or equivalent years of experience.
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 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.
#J-18808-Ljbffr
Architect and guide contributions to a Python-based midstream automation platform in the areas of CI/CD, observability, and continuous testing.
Establish and champion best practices for automated and manual tests for Red Hat AI midstream projects/components and provide strategic status updates to key stakeholders.
Proactively identify, analyze, and lead efforts to document unwanted behavior, output, and bias in Red Hat AI models. Champion the resolution of critical issues and articulate the business impact to development teams.
Lead the engagement and representation of the team in upstream AI/ML communities, evaluating and proposing new technologies and integrations.
Lead the research and design of new features, with emphasis on model performance, scalability, automation, and bias reduction.
Initiate, own, and drive technical initiatives that grow, improve, and scale existing processes.
Act as a primary contributor and steward for the development of open-source projects that comprise Red Hat’s AI family of products.
Serve as a technical authority and lead communicator for project stakeholders, including other teams of Red Hat engineers, product managers, consultants, management, and senior leadership.
What you will bring Expert Linux administration skills, including containers
Expert Python development and troubleshooting skills
Advanced skills with writing and reading Shell scripts (e.g. bash)
Experienced in building and maintaining delivery pipelines and workflows with GitLab CI, GitHub Actions, or comparable technologies
Ability to quickly learn and use new tools and technologies.
Understanding of DevOps methodology
Following is considered a plus Experience with Pytest.
Experience with Ansible/Terraform
Experience working with Kubernetes/OpenShift, troubleshooting issues with them, and working with YAML, Kubernetes controllers, and operators.
Bachelor's degree or higher in computer science or other related discipline, or equivalent years of experience.
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 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.
#J-18808-Ljbffr