Software Engineer III, Cloud AI Security and Compliance

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  
• 2 years of experience building software for data privacy or security (e.g., identity and access management).
  
• Experience analyzing and mitigating security vulnerabilities.
• Experience analyzing the security of systems (e.g., security testing, vulnerability scanning, threat modeling, etc.).

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical fields.
  
• 2 years of experience with data structures or algorithms.
  
• Experience developing accessible technologies.
  
• Experience implementing core Machine Learning (ML)/AI concepts.

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.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

The US base salary range for this full-time position is $141,000-$202,000 + 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 benefits at Google.

Responsibilities

• Write product or system development code.
• Work with software engineers to understand system architecture, threat models, develop and implement tactical plans and long term plans for all Cloud AI Products.
• Analyze security findings and translate them into recommendations and actionable plans. Provide quantitative analysis focus, requiring interpretation of technical information from structured and unstructured sources.
• Serve as an escalation point for Cloud AI engineers and coordinate efforts with all of the internal stakeholders across the globe.
• Take accountability for driving the Security and Compliance program to achieve measurable reduction of open security issues and drive a discipline of security into engineering teams.