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Salary
≈ $73k – $120k per year (Estimated)
Location
In office (Warsaw)
Seniority
Staff · 8+ years exp

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Oct 6, 2026. Google scores B on the Alion truth index.

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 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.

The mission of Vertex on Hybrid Cloud is to introduce AI/ML capabilities to Google Cloud, making it reliable, performant, cost-effective, flexible, and simple for Google Cloud customers. This team brings Google's machine learning investments, along with Cloud and open-source software (OSS) technologies, to provide the ML infrastructure, tools, and services that power Google Cloud customers. This opportunity lies at the intersection of AI/ML and distributed systems, presenting a chance to provide technology to businesses worldwide.

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: zł480000 - zł492000 (PLN) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Provide direct line management, performance management, mentoring, and career growth for a team across L3, L4, and L5 levels.
  • Guide technical direction, operational efficiency, and high-quality delivery for Hybrid Cloud and Gemini inference serving stacks.
  • Partner closely with the overall Organization Lead in Sunnyvale, Poland Site Leads, and US Tech Leads to align product roadmaps and technical architecture.
  • Foster a supportive and high-performing engineering culture at the Warsaw site.

Qualifications

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience building and developing infrastructure.
  • 5 years of experience with software development in one or more programming languages.
  • 2 years of experience in managing and leading teams as Technical lead manager.

Preferred qualifications:

  • Experience with Machine Learning frameworks, large language models (LLMs), or developing AI/ML applications.
  • Experience building and working with API-driven platforms and developer-facing tools.
  • Experience with Google Cloud Platform services.
  • Familiarity with container orchestration technologies (e.g., Kubernetes) and cloud-native development.
  • Understanding of on-premise, hybrid cloud, or air-gapped environments.
  • Knowledge of Agentic AI concepts, frameworks (e.g., LangChain), or building multi-agent systems.
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