Principal Engineer, AI, Trust, Security Site Reliability Engineering
Job Summary
Job Description
This Principal Engineer role focuses on building a stable, secure, and trustworthy integrated cloud AI platform. Responsibilities include balancing feature velocity with reliability and cost efficiency, partnering with various teams to set technical direction for AI, trust, and security, and challenging the status quo to improve platform reliability and resilience. The role requires contributing to complex technical projects and product decisions, leveraging technical acumen and problem-solving skills to build scalable and future-proof Google systems. The ideal candidate will have extensive experience in software development, technical leadership, and distributed systems architecture. Experience in security, reliability, and working within large-scale multinational organizations is preferred.
Must have:
- 10+ years software dev experience or 15 years
- Technical leadership experience
- Distributed systems architecture
- AI/Security engineering experience
- Cloud platform experience
Good to have:
- Leadership in security/resilience
- Executive-level project leadership
- Cross-organizational collaboration
- Understanding of compute, networking
Perks:
- Bonus
- Equity
- Benefits
2 skills required
Job Details
Minimum qualifications:
- 15 years of experience in software development, or 10 years with an advanced degree in Computer Science, Mathematics, Statistics, or Engineering
- Experience in technical leadership and setting technical direction for engineering projects
- Experience architecting, designing, and developing distributed systems
Preferred qualifications:
- Leadership experience in the security, reliability and resilience space. Experience having impact over a large scale of users
- Experience leading and implementing engineering projects at an executive level within multinational and distributed organizations
- Experience partnering and leading by influence, as well as working with stakeholders and collaborating across organizational boundaries
- Understanding of compute, networking, application stacks, and supporting product features, services, and technologies
- Experience developing and implementing technical programs in security or AI engineering or product/platform design
About the job
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.The US base salary range for this full-time position is $294,000-$414,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .
Responsibilities
- Create the reality of a stable, secure, and trustworthy integrated cloud AI platform for a diverse pool of customers and workloads worldwide.
- Balance feature velocity with reliability, security, and cost efficiency.
- Partner with a wide and diverse array of teams working in the Cloud AI, Security, and Sovereign Workloads space to set the technical direction for AI, trust, and security.
- Challenge our approach and status quo to elevate our platform reliability, security, and resilience beyond our current capabilities.
- Contribute to our complex technical projects and externally visible product decisions, using your technical acumen, problem-solving abilities, and good judgment to help build scalable and future-proof Google systems.
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