Lead Security Engineer – GKE & GenAI Cloud Security

Google; Seattle (WA); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Health, dental, vision, life, and long

Disability insurance

401(k) with company match

Paid Time Off: 20 days per year

Sick time: 40 hours/year (Seattle 69)

Maternity Leave: 28-30 weeks

Baby Bonding Leave: 18 weeks

Holidays: 13 paid days

Job summary

Google is seeking a software engineer focused on security to join our Seattle team. You will lead Kubernetes security reviews, help harden the GKE platform for AI/ML workloads, and guide engineers on secure practices across the product.

You will collaborate with security and product teams, review designs for threats, and drive long-term threat detection strategies while contributing to the broader Google Cloud security program.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with security engineering, computer and network security and security protocols.
• 5 years of distributed cloud computing including 3 years of containerization and container orchestration technologies such as Google Kubernetes Engine (GKE).

Responsibilities

• Perform Kubernetes security reviews, research and reproduce vulnerabilities.
• Lead the team in developing secure operational practices, providing engineers with security guidance to mitigate the product's top threats.
• Partner with Security teams across Google to build out a long-term threat detection strategy for the product.
• Review designs and look for security gaps, both with one-time reviews and longer term engagement.

Skills

Security engineering

Cloud computing

Containerization

Security protocols

Education

Bachelor's degree or equivalent

Master's degree or PhD in CS or related field

Tools

Google Kubernetes Engine (GKE)

GCP techniques

Prompt engineering

Embedding vectors

Job description

Google is seeking a software engineer focused on security to join our Seattle team. You will lead Kubernetes security reviews, help harden the GKE platform for AI/ML workloads, and guide engineers on secure practices across the product.

You will collaborate with security and product teams, review designs for threats, and drive long-term threat detection strategies while contributing to the broader Google Cloud security program.