Manager, Cloud Infrastructure Engineering

About the role

This position leads the engineering team responsible for the cloud infrastructure that powers a mission‑critical SaaS platform. The role combines technical leadership, cloud expertise, and people management to build reliable, scalable, and secure systems while working fully remotely.

Key responsibilities

• Lead and develop a team of engineers responsible for production cloud infrastructure, fostering a strong engineering culture.
• Guide the design, implementation, and evolution of Kubernetes‑based, multi‑cloud environments.
• Ensure infrastructure solutions meet high standards for reliability, scalability, security, and operational excellence.
• Collaborate with product engineering, security, support, and leadership teams to enable safe and efficient software delivery.
• Improve infrastructure automation, developer tooling, and platform capabilities to support growth without unnecessary complexity.
• Establish effective approaches for using AI in infrastructure operations, including automation, incident analysis, documentation, and operational improvements.
• Balance immediate operational needs with long‑term investments in platform evolution, cloud expansion, and infrastructure innovation.
• Coach engineers, support professional growth, manage priorities, and create an environment where teams can perform at their best.
• Drive improvements in observability, incident response, reliability practices, and infrastructure decision‑making processes.

Required profile

• Experienced cloud infrastructure leader with a strong background in platform engineering, Kubernetes, and SaaS environments.
• 3–5 years of experience leading engineers who build and operate production infrastructure for SaaS products.
• Comfortable managing technical teams while staying close to engineering challenges and emerging infrastructure practices.

Required skills

• Kubernetes
• Multi‑cloud infrastructure
• Cloud architecture and engineering
• SaaS platform operations
• Site Reliability Engineering (SRE)
• AI‑driven automation
• Observability and monitoring
• Incident response
• Infrastructure automation
• Developer tooling