Google Senior Software Engineer – Vertex AI Workbench (Warsaw, Poland)

Opportunity Overview

Role Scope & Technical Architecture

The Vertex AI Workbench team builds the foundational notebook experiences and infrastructure powering enterprise Generative AI workflows and agent development across Google Cloud:

[Enterprise ML / Agent Requirements] ➔ [Distributed Microservices & Cloud APIs] ➔ [Scalable Backend Systems] ➔ [Enterprise Frontend Notebook UX]

Core Responsibilities

• Frontend & UX Infrastructure: Own and optimize the developer notebook experience powering Vertex AI, building accessible, responsive web interfaces using TypeScript/JavaScript.

• Backend & Distributed Systems: Design, build, and maintain high-throughput microservices and backend systems using Java, Go, Python, or C++.

• GenAI Agent Infrastructure: Build foundational infrastructure supporting Generative AI agent workflows, integrating cutting-edge Gemini models for enterprise customers.

• Technical Leadership & Architecture: Lead software design, architectural trade-off evaluations, and mentor engineers across cross-functional Cloud and AI teams.

Candidate Eligibility & Technical Skills Matrix

Minimum Qualifications

• Education: Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.

• Full Stack Development: 5+ years of experience across both backend (Java, Python, Go, or C++) and frontend (JavaScript or TypeScript, HTML, CSS).

• Software Engineering & Architecture: 3+ years of experience testing, maintaining, or launching software products, plus 1+ year of formal software design and architecture experience.

Preferred Qualifications

Compensation & Benefits Structure (Poland)

• Base Salary Range: zł364,000 – zł373,000 PLN per year.

• Annual Bonus Target: 15% of annual base salary.

• Equity Compensation: Google Stock Units (GSUs) awarded based on level and performance.

• Benefits Package: Health insurance, pension options, professional development allowances, and access to Google Poland campus amenities.

Selection Workflow & Evaluation Stages

[Resume & Profile Review] ➔ [Recruiter Phone Screen] ➔ [Technical Phone Screen] ➔ [Virtual Onsite Loop (5 Rounds)]

1. Recruiter Screening: General assessment of background, full-stack tech stack alignment, and interest in Google Cloud AI.

2. Technical Screen: Live coding round focusing on data structures, algorithms, and problem-solving efficiency in Java, C++, Go, or Python.

3. Virtual Onsite Loop:

   • Coding Rounds (2 Sessions): Advanced algorithm design, graph/tree traversals, time/space complexity optimisation.

   • System Design & Architecture (1 Round): Designing scalable cloud microservices, notebook state management, or high-throughput API design for ML infrastructure.

   • Full Stack / Domain Design (1 Round): Component design, state management, and API design bridging frontend and backend systems.

   • Googleyness & Leadership (1 Round): Behavioural assessment focused on technical leadership, collaboration, cross-functional impact, and bias for action.