Engineering Manager, Infrastructure

At Scale AI, our mission is to accelerate the development of AI applications.

We are looking for an Infrastructure Engineering Manager to help shape the future of AI-powered applications. In this role, you'll bridge the gap between AI research and production, leading a team that is turning innovative prototypes into scalable, high-performance enterprise solutions.

Responsibilities:

• Define and execute the infrastructure roadmap aligned with business and engineering priorities.
• Lead the design and implementation of scalable, secure, and reliable infrastructure systems.
• Set and maintain SLAs/SLOs for platform uptime, performance, and developer experience.
• Manage the engineering team and drive technical delivery.
• Design, build, and optimize backend services for advanced AI-driven applications, focusing on AI agents, evaluation tooling, and automation.
• Influence the culture, values, and processes of a growing engineering team.
• Inspire and mentor engineers.
• Work closely with product, security, and engineering leadership to align on goals and priorities.

Requirements:

• At least 5 years of relevant experience and at least 2+ years of experience managing infrastructure or platform teams.
• Proven experience with cloud platforms such as AWS, GCP, Azure or OCI.
• Proven experience with kubernetes deployments on on-prem infrastructure.
• Deep understanding of CI/CD pipelines, infrastructure-as-code, and container orchestration.
• Experience managing production environments with high availability, reliability, and scalability requirements.
• Familiarity with monitoring, alerting, and incident response best practices.
• Experience working with modern developer platforms and internal tooling to improve engineering velocity.
• Solid foundation and real-world experience in network engineering.