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Google: Senior Software Engineer, GKE, Adaptive Workload Orchestration (Warszawa)

Senior Software Engineer, GKE, Adaptive Workload Orchestration

Bezpośrednia
  • Google
  • Warszawa
  • 17.02.2026

Podsumowanie oferty:

  • Branża

    AI / Uczenie maszynowe / Data Science
  • Rodzaj umowy

    UoP
  • Doświadczenie

    Mid
  • Technologie i Narzędzia

    Security, ML infrastructure, Generative AI, Software development, Programming languages, Full-stack development, Distributed computing, Large-scale system design, Networking, Data storage

Opis oferty:

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. In this role, you will shape and prove feasibility of new approaches to orchestration engine adaptability. You will be observing signals to write, validate, and deploy new deterministic orchestration code. This is a high-impact role where you will help define how Google-scale infrastructure utilizes Generative AI to achieve infinite adaptability without compromising the millisecond-level reliability our production systems demand at scale required to run massive training, agentic and inference workloads.

Wymagania:

  • 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 with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Dodatki i korzyści:

  • Competitive salary.
  • Opportunities for growth and career development.
  • Work on cutting-edge technologies.
  • Collaborative and diverse work environment.
  • Comprehensive benefits package.
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