Staff Software Engineer, Cloud Assist Optimize

Requirements:

• Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience.
• 8 years of experience architecting, building, and shipping distributed systems in a cloud environment.
• 8 years of experience with software development in one or more programming languages (e.g., Python, Go, Java, C++).
• 2 years of experience in applied Artificial Intelligence/Machine Learning (AI/ML), shipping production ML systems and building prototypes with Large Language Models (LLMs).

Nice to haves:

• Master’s degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Experience influencing the technical roadmap and strategy for an entire product area or organization.
• Experience in algorithms, data structures, and system design for high-throughput, low-latency services.
• Experience with one or more public cloud platforms.
• Experience in cost optimization, financial operations or building resource forecasting and recommendation systems.
• Knowledge of advanced AI techniques (e.g., Retrieval-Augmented Generation (RAG), Chain-of-Thought (CoT), ReAct, function calling, agentic frameworks) and their practical application in solving real-world problems.

What you'll be doing:

• Drive the overarching technical strategy and architecture for the entire suite of AI-powered optimization agents.
• Design and prototype foundational frameworks and systems that enable multiple engineering teams to build, test, and deploy AI agents rapidly and reliably.
• Lead cross-team design and architecture reviews for the most critical systems.
• Partner with executive leadership to define a multi-year technical roadmap.
• Solve the most testing, cross-cutting technical problems that span multiple systems or teams.

Perks and benefits:

• Information collected and processed as part of your Google Careers profile is subject to Google's Applicant and Candidate Privacy Policy.
• Equal opportunity and affirmative action employer.
• Opportunity to share your preferred working location between Warsaw, Poland, and Kraków, Poland.
• Global collaboration and communication required.