Software Engineer II, AI/ML, Google Security Operations

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.

We are here to bridge the gap in Google's security tooling and drive Google towards a unified Security Operations (SecOps) by implementing managed defense features and more in SOAR case management. We are a critical group within Google Cloud SecOps focused on the SOC analyst experience, building the core tools that security professionals use for response, case management, and alert investigation.

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: $123000 - $175000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Write product or system development code.
Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Apply foundational ML concepts and contribute to the implementation of solutions in one or more specialized ML areas.
Design, develop, and deliver high-quality code for security products and systems.

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
1 year of experience with data structures and algorithms.
1 year of experience implementing core ML concepts.
Experience in full-stack software development, designing and implementing both front-end user interfaces and back-end application services.

Preferred qualifications:

Master's degree or PhD in Computer Science or a related technical field.
Experience developing accessible technologies.