Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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 guide the transition to an Artificial Intelligence (AI)-native Security Operations Center (SOC). You will guide a talented team in architecting the next-generation Agent Engine and universal Application Programming Interfaces (APIs) that empower enterprise security teams to orchestrate defense at machine speed. You will have an impact on how global enterprises defend against threats using Google's AI capabilities. You will play a role in shifting the industry paradigm from static workflows to changing, collaborative multi-agent ecosystems, while establishing a culture of engineering excellence that balances code quality with rapid developer velocity.
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.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development using languages such as Go, C++, Java, C# or Python.
- 5 years of experience with testing, and launching software products, and 3 years of experience with software design and architecture.
- 5 years of experience with machine learning (ML) design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
Preferred qualifications:
- Master's degree or PhD in Computer Science or a related technical field.
- Experience in the cybersecurity domain, with building or working with SecOps, SOAR, or Security Information and Event Management (SIEM) platforms.
- Experience with designing and integrating AI/ML capabilities, Large Language Models (LLMs), or multi-agent orchestration frameworks into enterprise products.
- Experience with establishing engineering best practices, improving developer velocity, and mentoring engineers.
- Experience with designing APIs and microservices architectures.