Vector Security Jobs in Seattle, WA (NOW HIRING)

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In most instances, this position requires in-person interviews as part of the hiring process.
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Minimum 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 experience in distributed cloud computing including 3 years of experience in containerization and container orchestration technologies such as Google Kubernetes Engine (GKE).

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• 5 years of experience with standard IT security practices such as identity and access management, data protection, encryption, certificate and key management.
• 5 years of experience with containerization and container orchestration technologies such as Google Kubernetes Engine (GKE).
• 5 years of experience with Google Cloud Platform (GCP) techniques such as prompt engineering, dual encoders, and embedding vectors.
• 5 years of experience building prototypes or applications.
• Experience with cloud platforms, distributed systems and Google Kubernetes engine, with the ability to manage stakeholders with clear written and verbal communication.

About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
In this role, you will partner with the executive leads of Google Kubernetes Engine (GKE) security to lead the team to make GKE the most secure platform to run AI/ML workload. You will be driving to deliver the managed Kubernetes platform for running GenAI workloads, offering industry leading security, hardening, driving market share growth, and customer success.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $252000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
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.

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