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Salary
≈ $64k – $102k per year (Estimated)
Location
In office (Warsaw)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Sep 26, 2026. First seen by Alion on Sep 7, 2026.

Overview
Company
Impact
Profile match
Google is an American technology company founded in 1998 by Larry Page and Sergey Brin and now the principal subsidiary of Alphabet, headquartered in Mountain View, California. It operates the world's dominant search engine and the advertising system built around it, along with YouTube, Android, Chrome, Gmail, Maps, Workspace and Google Cloud, reaching billions of users across nearly every internet-connected market. The company designs its own silicon in the Tensor Processing Unit line, develops the Gemini foundation models through Google DeepMind, and derives most of its revenue from advertising while cloud has become its fastest growing segment.

About the job

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 have an opportunity to solve problems independently from design through launch to landing. You will provide direct technical contribution and technical leadership. Faced with a problem, you will scope it, research possible solutions and technologies, and recommend a solution that includes both short-term and long-term needs. You will accelerate your own team, e.g. by developing solutions to common problems. You will become an authority and support other teams, e.g., by answering questions or helping with debugging. You will plan and scope projects for your team. You will prioritize supporting the needs of your direct reports. You will be accountable for both what your team does (impact) and how your team does it (collaboration and technical excellence). You will look for opportunities to use Google's AI/ML to improve your velocity and impact and to make Google's products better. You will proactively spot and suggest areas of future work for self and team.

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 - zł373000 (PLN) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Create and run virtual machines on Google infrastructure. Compute Engine offers scale, performance, and value that allows developers to easily launch large compute clusters on Google's infrastructure.
  • Plan and scope projects for your team. Prioritize supporting the needs of your direct reports.
  • Write code mostly in C++ and Go, monitor live services, automate processes for deployment, and support the full SDLC process. Support quick onboarding of new SWEs.
  • Improve the obtainability of scarce resources for Google Cloud.
  • Use Google's AI/ML to improve your velocity and impact and to make Google's products better. Proactively spot and suggest areas of future work for self and team.

Qualifications

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience coding in a general purpose coding language (e.g., Java, C, C++, Python, Shell, Go or JavaScript, etc.) or in system design.
  • Experience programming in C++ and Python.

Preferred qualifications:

  • Knowledge of Google automation and testing infrastructure such as guitar, sandman, centigrate, hexa.
  • Knowledge of one or more of these - APIs, control planes, frameworks.
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