AI Platform Tech Lead — GKE & Cloud ML Infra

Google; Seattle (WA); On-site; USD 207,000 - 301,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

Paid time off 20 days/year

Sick leave 69 hours/year (Seattle)

Job summary

Google Cloud engineers seek a software professional to lead AI Platform initiatives within GKE, driving reliability, efficiency, and scale for AI/ML workloads. You will partner with customers to ensure successful adoption of GKE and GCP, influencing the broader cloud stack and ongoing innovations.

The role emphasizes design leadership, cross-team collaboration, and hands-on optimization across distributed systems, AI infrastructure, and cloud services in a fast-growing environment.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience in cloud computing and building operating systems.
• Master's degree or PhD in Computer Science, Machine Learning, or a related field.
• 5 years of experience with distributed systems, data analytics, and applied ML.
• Experience with AI infrastructure (GPU/TPU, Networking, etc.) management and orchestration.
• Experience with machine learning infrastructure, large-scale distributed systems, and Cloud.
• Excellent problem-solving, code and model tuning skills.

Responsibilities

• Act as an AI Platform TL, driving innovation on GKE AI/ML infra reliability, efficiency and scale.
• Engage with Megawhale customers to ensure their success/growth on GKE/Google Cloud Platform (GCP).
• Identify gaps and drive improvement across entire GKE/Google Compute Engine (GCE) stack.
• Help shape the culture of the team to be a high executing team that is fun to work with.
• Lead the technical goal for GKE AI/ML workload efficiency and optimization, setting the direction.

Skills

Software development

Cloud computing

Distributed systems

Data analytics

Applied ML

AI infrastructure management

Cloud orchestration

Problem solving

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in Computer Science or related field

Tools

AI infrastructure tooling

Kubernetes

Job description

Google Cloud engineers seek a software professional to lead AI Platform initiatives within GKE, driving reliability, efficiency, and scale for AI/ML workloads. You will partner with customers to ensure successful adoption of GKE and GCP, influencing the broader cloud stack and ongoing innovations.

The role emphasizes design leadership, cross-team collaboration, and hands-on optimization across distributed systems, AI infrastructure, and cloud services in a fast-growing environment.