Engineering Manager - Compute and Data Platform (AI Platform)

Job summary

Responsibilities

People leadership will be your first priority. You’ll coach and develop engineers, set clear expectations, manage performance. You’ll build technical leadership within the team, giving engineers the support and ownership they need to grow.

• Leading and developing the team: Coach engineers through regular feedback and one-to-ones, manage performance, support career development and build a healthy, performant and…
• Hiring and building technical leadership: Lead hiring and onboarding as the team expands, and develop technical leads who can take ownership of key areas of the platform.
• Driving the roadmap and delivery: Translate training and inference needs into priorities, align commitments with available resources, and surface risks and dependencies early.
• Scaling cloud compute: Guide the evolution and operation of a multi-cloud, multi-region training and inference platform, including the adoption of new compute architectures…
• Improving scheduling and availability: Oversee Kubernetes-based infrastructure and queuing and scheduling systems, enabling workloads to use the right resources across…

What they're looking for

• Operating multi-cloud or multi-region platforms for large-scale AI workloads.
• Introducing new GPU architectures or managing heterogeneous GPU fleets.
• Distributed storage, caching and data-locality strategies for data-intensive workloads.
• Capacity forecasting, cloud cost modelling and close collaboration with cloud infrastructure providers.

Tech stack

• Kubernetes