Software Engineer Iii, Gke Networking, Google Cloud

Google Google · Big Tech · Warsaw, Poland

Software Engineer III role at Google Cloud focusing on GKE Networking. The role involves managing project priorities, designing, developing, testing, deploying, maintaining, and enhancing software solutions. While the core focus is on networking infrastructure, there's a preferred qualification related to designing AI/ML networking solutions for large-scale model training, GPU communication, and agentic workloads.

What you'd actually do

  1. Write product or system development code.
  2. Lead design reviews with peers and stakeholders to select among available technologies.
  3. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  4. Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  5. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

Skills

Required

  • Bachelor's degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.

Nice to have

  • Master's degree or PhD in Computer Science or a related technical field.
  • Experience with Linux networking stack.
  • Experience in Go.
  • Experience with networking solutions, data plane and control plane elements.
  • Experience with technologies such as Domain Name System (DNS), Internet Protocol version 6 (IPv6), Extended Berkeley Packet Filter (eBPF), load balancing or network security.
  • Ability to design and develop Artificial Intelligence/Machine Learning (AI/ML) networking solutions optimized for large-scale model training, low-latency Graphics Processing Unit (GPU) communication and agentic workloads.

What the JD emphasized

  • design and develop Artificial Intelligence/Machine Learning (AI/ML) networking solutions optimized for large-scale model training, low-latency Graphics Processing Unit (GPU) communication and agentic workloads