Google Cloud’s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren’t just building technology; you’re shaping the frontier of enterprise and driving the evolution of advanced models.
In this role, you will join a small team in Warsaw as one of its experienced engineers, trusted with systems that product, engineering, and leadership teams across Google's AI developer tools rely on every day. You will spend most of your time building: writing production code, shaping designs, and turning open-ended questions like "Is this new model actually helping developers?" into precise, dependable answers. You will also be the person others turn to for your area, guiding its architecture, reviewing teammates' work, and helping newer engineers grow.
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.Poland: zł364000 - zł373000 (PLN) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Design, build, and operate reliable, high-throughput backend services and data pipelines in Go and SQL that capture telemetry from Google's AI developer tools across consumer and enterprise APIs.
- Lead technical projects end to end, from design documents and cross-team alignment to implementation, launch, and production health, partnering with product managers, data scientists, and client teams such as Antigravity and Android Studio.
- Define telemetry schemas and data contracts, and build the metrics, dashboards, and datasets that product and leadership teams use to measure adoption, quality, and model performance.
- Own a core technical area of the platform: set its technical direction, review designs and code, and continuously improve its reliability, cost, and maintainability.
- Mentor other engineers and raise the bar on engineering practices, including using AI agents to automate operational work.
Minimum qualifications:
- Bachelor's degree in Computer Science or another technical field or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- Experience in software system architecture.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- Experience building, designing and scaling large-scale backend services with a proven track record of technical innovation and complex problem-solving.
- Proficiency in Go (or another backend language) and SQL, with experience in data modeling for analytics.
- Familiarity with LLMs, AI agents, or AI developer tools, and experience using AI to improve engineering productivity.