Senior Software Engineer, Gemini Cloud Assist

Google•Sunnyvale, CA

7h•$174,000 - $252,000

About The Position

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. Joining the Gemini Cloud Assist team offers a unique opportunity to revolutionize Google Cloud by shifting from reactive assistance to a fully autonomous, agentic cloud operations platform. As enterprises face exploding software footprints with tight budgets, Gemini Cloud Assist deploys long-running autonomous agents to seamlessly manage complex cloud lifecycle tasks. In this role, you will build the highly scalable infrastructure that transforms an unbounded, noisy firehose of logs, alerts, and webhooks into budgeted, policy-checked, and auditable agent invocations. You will manage complex distributed systems challenges and have massive impact by bridging AI with hardcore infrastructure. 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google [https://www.google.com/about/careers/applications/benefits/].

Requirements

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 developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies or storage.
Experience programming in Go.
Experience across the following: Cloud, Cloud Pub/Sub, Distributed Systems, Spanner.

Nice To Haves

Master's degree or PhD in Computer Science or related technical field.
Experience designing agent execution runtimes or LLM frameworks, stateful session steering, and token/budget guardrails.
Deep expertise in Go, building high-throughput, concurrent microservices, and optimizing system performance under heavy enterprise workloads.
Expertise architecting scalable event ingestion/dispatch pipelines using GCP Pub/Sub, Eventarc, and Cloud Run, leveraging CEL filters and CloudEvents v1.0 standards.
Proven ability designing multi-tenant systems with strict data isolation, zero standing permissions (ZSP), short-lived credential delegation (eVouchers), and pluggable authentication (HMAC, OIDC).

Responsibilities

Write and test product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.