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Salary
≈ $67k – $107k 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 21, 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's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. 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’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. 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.

As a lead architect within the GKE Networking team, you won’t just be maintaining infrastructure; you will be defining the nervous system of the world’s most advanced cloud platform. You will own the architectural evolution of networking capabilities that power "megaclusters"-systems of unprecedented scale-and purpose-built networking for the next generation of AI/ML training and Agentic workflows.

From optimizing data planes with eBPF to shaping the future of the Kubernetes open-source ecosystem, your work ensures that the world’s largest enterprises can run their most critical distributed systems with seamless connectivity and ironclad security.

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

  • Own and lead the roadmap for GKE Networking, driving the evolution of virtualization solutions that support tens of thousands of nodes and beyond.
  • Design and develop high-performance networking solutions specifically optimized for large-scale model training, low-latency GPU communication, and autonomous agentic workloads.
  • Lead the design of both data plane and control plane elements, pushing the boundaries of network connectivity, security, and service mesh technologies.
  • Partner cross-functionally with GKE Platform and Cloud Networking teams to unify Google’s networking fabric.

Qualifications

Minimum qualifications:

  • Bachelor's degree 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.
  • 3 years of experience developing large-scale infrastructure, distributed systems or networks, or experience with Kubernetes, Go, or micro-services.

Preferred qualifications:

  • Master's degree or PhD in Computer Science, or a related technical field.
  • 5 years of experience with data structures and algorithms.
  • 1 year of experience in a technical leadership role.
  • Experience with Linux networking stack.
  • Experience developing accessible technologies.
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