Red Hat OpenShift Service on AWS (ROSA) is seeking a Software Engineering Manager to lead a global team in the agile planning, development, testing, and production delivery of features and continuous improvements for a fully-managed, enterprise-grade Kubernetes service. The role aims to enhance the security, reliability, resilience, scalability, and availability of the ROSA service, while also championing the adoption of AI to simplify processes, reduce complexity, and improve efficiency in development, operations, and testing workflows.
Requirements
- 4+ years managing software engineering teams, including development, testing, DevOps, 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 OpenShift
- 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, quality assurance, and customer advocacy in large-scale environments
- Experience leading Site Reliability Engineering (SRE) initiatives, including building reliable, scalable systems, monitoring, and incident response
- Experience applying AI or ML techniques in software development, testing, or operational workflows (e.g., predictive monitoring, intelligent automation, AI-assisted development tools).
Responsibilities
- 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.
- Champion the adoption of AI within the team to improve development, testing, and operational workflows
Other
- Mentor and coach associates, assess performance, and foster growth and career development.
- 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.
- Coach and mentor team members, providing regular feedback and supporting career development and growth.
- 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
