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.

Google Security Operations is advancing cyber-security for enterprises of all sizes. We are dedicated to helping companies find and stop cyber attacks before they cause harm. With our expertise in global-scale threat intelligence, large-scale cloud computing, and big data, we help our customers and partners understand and solve their most significant security challenges.

The Risk Analytics team is focused on providing advanced correlation, enrichment, and contextualization workflows for a large breath of security signals, boiling them down to a critical and actionable set that not only enables our enterprise customers to focus on remediation efforts, but proactively address threats before they become incidents.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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.

The US base salary range for this full-time position is $147,000-$211,000 + 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 on projects that improve the security posture of Chronicle and Google Security Operations.

• Build anomaly detection and statistical models to detect suspicious activity across various types of entities.

• Design solutions that both improve our users' security posture and help us scale programmatically to handle the operational requirements of massively scalable distributed storage services. This includes providing operational support as part of an on-call rotation.

• Collaborate effectively with and help drive work with peers on partner teams including security teams, appliance platform teams, infrastructure teams (Kernel, Storage), and the wider Chronicle organization.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.

• 2 years of experience with software development in C++ or Go, or 1 year of experience with an advanced degree.

• Experience building and architecting large-scale distributed systems.

• Experience performing quantitative and qualitative data analysis to drive product or business decisions.

Preferred qualifications

• Master's degree or PhD in Computer Science or related technical fields.

• 2 years of experience with data structures and algorithms.

• Experience developing and deploying applications that leverage Google Cloud Spanner for data persistence in a production environment.

• Experience with cloud security architecture, including designing and implementing secure cloud solutions.

• Experience designing, building, and operating large-scale distributed systems for large enterprise customers.

• Experience developing and deploying machine learning models for anomaly detection in production environments.