Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- 1 year of experience with state-of-the-art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures and algorithms.
- 1 year of experience in a technical leadership role.
- Experience in Security domains.
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.
As a part of Google Cloud Security, you will be redefining security for the new AI era. Your goal is to deliver highly differentiated and Google-scale agentic defense to empower customers to defend their enterprises at machine scale and speed. You will be at the forefront of revolutionizing the Google Security Operations (SecOps) through the power of artificial intelligence. You will be part of a team of talented engineers and applied scientists in building the next-generation of Security Agentic AI systems that will protect major organizations worldwide.
As a Senior Software Engineer, you will contribute to the research, design, development, and operational excellence of the Agentic Platform and Capabilities for Google SecOps. Your role is critical for turbocharging and enabling autonomous agentic SOC for AI-driven cybersecurity solutions. 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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
$174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits.
Responsibilities:
- Write and test product or system development code.
- Lead an end-to-end development and launch of next-generation Agentic features for Google SecOps.
- Develop foundational AI platform to support and accelerate Security Agents development.
- Collaborate with peer infrastructure, quality, and User Experience (UX) Tech Leads and Engineers, and partner teams.
- Scale the product and defend the enterprises from emerging threats.
