Staff Software Developer, Google Cloud, Applied AI

This posting is for an existing vacancy.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.

• 8 years of experience in software development.

• 5 years of experience testing and launching software products.

• 5 years of experience with full\-stack development across the backend, such as Java, Python, Golang, or C\+\+ codebases, and front\-end experience, including JavaScript, TypeScript, HTML, CSS, or equivalent.

• 3 years of experience with software design and architecture.

Preferred qualifications

• Experience building or integrating with cloud\-based contact center technologies (e.g., CCaaS platforms, telephony, WebRTC).

• Experience with generative AI, large language models (LLMs), or conversational AI systems, especially in the development of AI agents or agentic frameworks.

• Experience building low\-latency and distributed systems for real\-time communication.

• Proven track record of cross\-functional projects and managing technical collaborations with external partners and vendors.

• Understanding of customer support operations.

About The Job

Google Cloud's software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for software developers 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 developer, 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 software developers 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.

Customer support is undergoing a fundamental transformation, moving from manual processes to AI-driven, intelligent interactions. Our team is at the epicenter of this shift, building the critical "front door" that connects next-generation AI agents to users. We are responsible for the cloud-based contact center software and "last-mile" integrations that power seamless, intelligent conversations across all chat and voice surfaces. This is where the power of generative AI directly meets the customer, and we are responsible for making that experience reliable and intelligent.

In this role, you will be an action-oriented developing leader to guide this mission-critical team. You will lead both first-party development of our core integration platforms and foster collaborations with external partners.

Applied AI builds conversational agents deployed at a large scale that achieve very meaningful results in the real world. Some examples include the customer agent built for large call center environments, to fast food ordering handled by our Food AI agent. The team is transforming how enterprises connect with customers through the power of AI. We also offer unique experiences for team members where you get to work directly with the model builders (Google DeepMind / Vertex), learn and work with brilliant AI leaders, and have access to Global 1000 customers via our existing Google Cloud relationships. The opportunity in this space is tremendous.

Responsibilities

• Drive the end\-to\-end development of our cloud\-based contact center software, from architectural design to deployment and operations.

• Define and deliver the technical roadmap for integrating our AI agents into various first\-party and third\-party chat and voice surface ecosystems.

• Lead technical engagement and codevelopment efforts with external partners, ensuring seamless integration of their technologies with our platform.

• Collaborate closely with Product Management, UX, and AI research teams to define requirements and deliver AI\-powered customer support experience.

• Apply your domain expertise in contact centers, customer support workflows, or generative AI to guide product direction and navigate technical trade\-offs.