Senior Manager, Data Platform Engineering - Kubernetes - Distributed Systems

Overview

Senior Manager to lead a player-coach team building and operating core cloud-native data platform services on Kubernetes and distributed systems.

What you'll do

• Lead, grow, and develop 6–10 software engineers for the team’s domain.
• Own end-to-end delivery by setting priorities and roadmap with product/platform leadership.
• Ensure reliability, scalability, and operability by establishing SLOs and operational practices.
• Drive down incidents and toil across hyperscaler, on-prem, and sovereign environments.
• Partner with senior engineers and peer managers to align work with platform architecture and standards.
• Stay close to execution by reviewing designs/code and contributing occasionally via hands-on work.

What you'll need

• 10+ years building production software, including hands-on operating distributed systems on Kubernetes.
• 5+ years managing software engineers with a track record of hiring, developing, and retaining.
• Experience integrating or critically thinking about how to integrate AI into engineering and platform work.
• Hands-on experience with at least one major hyperscaler (AWS, Azure, or GCP), including compute, networking, and IAM primitives.
• Strong knowledge of containers/Kubernetes, CI/CD, GitOps delivery, and infrastructure-as-code.
• Strong communication and stakeholder-management skills to explain risks and trade-offs.

Details

• Location: San Diego, CALIFORNIA, United States.
• Base pay guideline: $181,200 – $317,100 (plus equity when applicable and other compensation/benefits).