Software Engineer, Distributed Systems, Cluster Management, Autopilot

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 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.

Poland: zł364000 - zł374000 (PLN) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

• Design, develop, and maintain clean, reliable code to enhance the Autopilot system, leveraging AI to optimize how memory and compute resources are allocated across applications.
• Lead the end-to-end life-cycle of new features, from initial planning and design to launch, ensuring they operate safely and effectively in production environments.
• Address large-scale engineering challenges by identifying ways to increase system efficiency, enabling infrastructure to manage millions of tasks concurrently without performance degradation.
• Maintain system reliability by investigating software issues, debugging code, and actively monitoring operations to ensure Autopilot runs smoothly for all dependent applications.
• Collaborate closely with teammates and partner engineering groups to understand requirements, conduct code reviews, and share innovative ideas for building better infrastructure tools.

Minimum qualifications:

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 5 years of experience in software development using general-purpose programming languages, with a focus on C++.
• Experience with data structures and algorithm design.
• Experience designing, building, and maintaining large-scale distributed computing systems.

Preferred qualifications:

• Master's degree or PhD in Computer Science, Computer Engineering, or a related technical field.
• Experience applying artificial intelligence to create a software.
• Demonstrated experience taking end-to-end ownership of complex technical projects and successfully launching impactful features in production environments.
• Familiarity with data analysis and querying languages, such as SQL, to make data-driven decisions regarding fleet performance.
• Familiarity with Google-internal development tools and build systems like Blaze.
• Deep understanding of operating systems internals, resource management (CPU, memory), and system performance optimization.