Staff Software Engineer, Vertex AI, Workbench
Offer summary

(Summary generated by AI based on the full job description)

The project focuses on Google Cloud Vertex AI Notebooks and infrastructure for Gen AI agents. Required skills include Java, Golang, Python, Typescript and experience with distributed systems and cloud computing. Key responsibilities involve leading a team, developing developer tools, and cross-team collaboration to enhance AI products. Benefits include medical care, funding for training and sports activities.

Staff Software Engineer, Vertex AI, Workbench

Company: Google

from: 2 June 2026
to: 2 July 2026
salary not specifiedcontract of employment (full-time)
Offer parameters
level:senior
working mode:hybrid
Warszawa, Śródmieście
Warszawa, ŚródmieścieEmilii Plater 53View on map

Requirements

Expected technologies

Java
Python
TypeScript

Our requirements

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience with backend infrastructure and distributed systems development.
  • Experience in one or more of the following languages: Java, Golang, Python or Typerscript
  • 5 years of experience testing, maintaining, or launching software products, and 3 years of experience with software design and architecture.

Optional

  • Master’s, PhD degree, further education or experience in Engineering, Computer Science or other technical related field.
  • 5 years of experience with data structures and algorithms.
  • Experience developing accessible technologies.
  • Experience in a technical leadership role.

Your responsibilities

  • Communicate effectively across teams, drive alignment with product team and client teams.
  • Lead the technical execution for major product initiatives, ensuring high-quality and timely delivery.
  • Develop the technical direction and road map for the broader team.
  • Design and implement best developer tools and platform for customers of Vertex AI and Google Cloud Platform (GCP).
  • Balance product thinking, development, and continuous delivery.
Company

About the project

Google Cloud’s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren’t just building technology; you’re shaping the frontier of enterprise and driving the evolution of advanced models.
In this role, you will be at the forefront of delivering excellent notebook experience and building the foundational infrastructure for Gen AI agents. You will lead a team, directly enhancing Vertex AI Notebooks, including both Workbench Enterprise, as you collaborate with dynamic, cross-functional teams. While direct AI Agent development experience isn't a prerequisite, passion for learning Google's AI technologies is essential. You should have experience in languages like Java, Golang, Typescript, or Python, and an extensive background in cloud computing, distributed systems, or micro services. Familiarity with Google's production environment or Google Cloud is required to help guide crucial design and trade-off decisions.
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

Benefits

  • sharing the costs of sports activities
  • private medical care
  • sharing the costs of foreign language classes
  • sharing the costs of professional training & courses
  • life insurance
  • remote work opportunities
  • fruits
  • corporate products and services at discounted prices
  • integration events
  • dental care
  • corporate gym
  • corporate sports team
  • retirement pension plan
  • saving & investment scheme
  • corporate library
  • no dress code
  • coffee / tea
  • drinks
  • parking space for employees
  • leisure zone
  • extra social benefits
  • meal passes
  • redeployment package
  • employee referral program
  • opportunity to obtain permits and licenses
  • charity initiatives
  • extra leave
Staff Software Engineer, Vertex AI, Workbench
I apply to:
Google
Warszawa, Śródmieście
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