Software Engineering Manager - ROSA Service

We are seeking a Software Engineering Manager to join the Red Hat Open Shift Service on AWS (ROSA) Service Engineering Team.

Red Hat Open Shift Service on AWS (ROSA) is a fully‑managed, enterprise‑grade Kubernetes service that combines the power of Red Hat Open Shift with the flexibility and scale of the AWS public cloud.

In this role, you will lead a global team of engineers in agile planning, development, testing, and production delivery of features and continuous improvements that are secure, reliable, resilient, scalable, and highly available. You will drive technical discussions and designs, collaborate closely with Product Managers, Engineering Managers, and Site Reliability Engineers worldwide, and help shape the evolution of the service.

As an Engineering Manager, you will mentor and coach associates, assess performance, and foster growth and career development. You will cultivate a culture of collaboration, innovation, and excellence, guided by Red Hat’s open management practices, commitment to diversity and inclusion, and emphasis on ethical, thoughtful approaches.

We are particularly excited about leveraging AI across development, operations, and testing workflows. You will champion the adoption of AI tools and practices that simplify processes, reduce complexity, and enhance efficiency—empowering your team to focus on higher‑impact, creative solutions that address our customers’ most critical challenges.

At Red Hat, open source innovation isn’t just in our products—it’s in how we work. We embrace change, encourage a growth mindset, and equip our teams to thoughtfully integrate AI and automation to drive smarter, faster, and more resilient engineering outcomes.

• Lead a global engineering team to design, develop, operate, and deliver the ROSA service and associated features/outcomes
• Drive technical discussions, architecture design, cross‑team engineering collaboration, and engagement with customers and partners
• Manage the day‑to‑day activities of the team, coordinate with other contributing teams, and own the delivery of features, updates, and operational excellence.
• Collaborate with team leads, architects, and engineers on product design, architecture, and technical direction
• Work closely with cross‑functional teams—including Product Management, Documentation, and Support—to ensure a high‑quality service experience for customers.
• Partner with Red Hat’s global customer and partner support teams to resolve escalated issues efficiently.
• Coach and mentor team members, providing regular feedback and supporting career development and growth.
• Champion the adoption of AI within the team to improve development, testing, and operational workflows
• Advocate for resources—such as training, tools, or dedicated exploration time—to increase the team’s AI literacy and capabilities.
• Ensure ethical AI use, addressing data privacy, bias mitigation, intellectual property, and responsible disclosure
• Foster a safe environment for experimentation with AI technologies, supporting projects that enhance efficiency, simplify processes, or analyze code/metrics. Encourage rapid testing, learning from failures, and continuous improvement.

• Bachelor's degree in Computer Science, Computer Engineering, or a related field, with 6+ years of experience in software development, testing, and operations
• 4+ years managing software engineering teams, including development, testing, Dev Ops, and productization of cloud services using Agile methodologies
• Experience with multiple hyperscaler platforms, such as AWS, GCP, and Azure
• Hands‑on experience with container technologies, including Kubernetes and Open Shift
• Demonstrated ability to translate business problems into technical solutions and lead teams through ambiguity and change
• Strong organizational skills, including planning and accelerating initiatives, proactive risk mitigation, and leading global engineering teams
• Deep technical expertise with the ability to navigate from high‑level system and software architecture to detailed design, code review, and problem‑solving
• Comprehensive understanding of software development life cycle, project management,…