Software Engineer III, Gemini in Security Operations, Cloud
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Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in Go, Python and C# programming languages, or 1 year of experience with an advanced degree.
- 1 year of experience with large language models, natural language processing (NLP),or generative AI.
- 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Preferred qualifications:
- 1 year of experience in applied machine learning (e.g., computer vision, generative AI, LLM).
- 1 year of industry experience in applied machine learning or machine learning research.
- Familiarity with Google Cloud Platform and its security offerings.
About the job
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 be shaping the future of security automation, working with product experts and exploring the latest Artificial Intelligence (AI) advancements.
The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.Responsibilities
- Design and implement Model Context Protocol (MCP) tools for Security Operations (SecOps) to support different AI Security Agents.
- Integrate AI models over Vertex AI and work with the product team to understand the requirements for the integration, developing the integration code, and testing the integration.
- Develop backend in ASP.Net Core or Python. Design and develop the backend services that will be used to power the AI models.
- Design and develop core components of the AI Chat infrastructure using Go. Build scalable and reliable services for managing real-time communication, managing user sessions, and integrating with AI models.
- Research and identify new AI technologies and techniques that can be applied to improve the Secops Security Orchestration, Automation, and Response (SOAR) platform.
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