Staff Software Engineer, AI, Containers, and Kubernetes

4 Days ago • 8-11 Years • Artificial Intelligence • $197,000 PA - $291,000 PA

Job Summary

Job Description

Google Cloud seeks a Staff Software Engineer to contribute to making Google Kubernetes Engine (GKE) the default platform for Generative AI Inference workloads. This role involves working with containers and Generative AI, delivering reliable, scalable, and production-ready AI/ML architectures. Responsibilities include setting strategic priorities, fostering innovation, mentoring engineers, and driving GKE AI platform improvements. The ideal candidate possesses 8+ years of software development experience (Python, C, C++, Java, JavaScript), 3+ years building distributed systems, and expertise in Kubernetes and AI/ML principles, particularly GenAI modeling/serving/training. Experience in a complex organization is preferred. The role is based in Seattle or Kirkland, WA.
Must have:
  • 8+ years software development experience
  • 3+ years building distributed systems
  • Kubernetes & AI/ML expertise
  • GenAI modeling/serving/training knowledge
  • Deliver reliable AI/ML architectures
Good to have:
  • Master's/PhD in Engineering/CS
  • Experience in complex organizations
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details


Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
  • 3 years of experience building and developing infrastructure or distributed systems.

Preferred qualifications:

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 3 years of experience working in a complex, matrixed organization.
  • Experience applying AI/ML principles and implementing AI/ML lifecycle, either as part of a team building AI/ML or supporting AI/ML teams from the platform side.
  • Knowledge of Kubernetes, with a focus on AI inference workloads.
  • Strong understanding of GenAI modeling/serving/training architecture.

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.

Our mission is to make Google Kubernetes Engine (GKE) the default platform to deploy Generative AI Inference workloads. In this role, you will work in two domains, Containers and Generative AI.

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.

The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .

Responsibilities

  • Deliver reliable, scalable, and production-ready AI/ML architectures.
  • Set strategic priorities and empower the team to operate effectively in a rapidly evolving space, fostering a culture of innovation, execution, and impact.
  • Mentor and guide engineers, ensuring they grow into technical leaders who can effectively drive GKE AI platform improvements and best practices.

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