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.
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.
Responsibilities
- Lead a full-stack team driving key features for one of Google Cloud Platform's (GCP) critical security products.
- Design, develop, test, deploy, maintain and enhance the platforms.
- Partner and collaborate with related Engineering teams, Managers, Product management and Program management to ensure the development of high-quality solutions in a timely way.
- Collaborate, mentor and develop other team members.
Qualifications
Minimum qualifications:
- Bachelor's degree in Computer Science, or similar technical field of study, or equivalent practical experience.
- 8 years of experience in software development.
- Experience with Artificial Intelligence (AI).
- Experience with Machine Learning (ML).
- Experience with Natural Language Processing (NLP).
Preferred qualifications:
- 5 years of experience in building AI Agents, Agentic AI, and ML models.
- 5 years of experience testing, and launching software products.
- 3 years of experience with software design and architecture.