Senior Staff Software Engineer, AI Agent Platform, Vertex

Google; Warszawa; On-site; PLN 640,000 - 655,000; Full time

Job summary

Google Cloud is seeking a senior software engineer to shape GenAI APIs and build scalable backend infrastructure for Vertex AI. You will develop high-performance systems powering large foundation models and collaborate with ML researchers and product managers to deliver enterprise-ready APIs.

The role involves designing API security, reliability, and observability in a fast-paced environment, with equity and great benefits. Location in Warsaw, Poland, and competitive compensation are offered.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 7 years of experience leading technical project strategy, ML design, and working with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience in systems architecture and large-scale serving infrastructure.
• Experience delivering technical solutions in a changing environment.
• Experience working in multinational or internationalised organisations on global initiatives.

Responsibilities

• Architect, develop, and maintain robust, horizontally scalable APIs and backend infrastructure tailored specifically for Generative AI workloads.
• Optimize routing, load balancing, quota management, and data plane mechanisms connecting user API requests to backend ML serving clusters across TPUs/GPUs.
• Prototype and launch new API products rapidly in a fast-paced environment to expose advancements in Google's foundation models.
• Collaborate with ML researchers, ML serving teams, and product managers to translate AI capabilities into reliable enterprise-grade APIs.
• Define and implement best practices for API security, high availability, fault tolerance, and observability across distributed systems.

Skills

Software development

Technical leadership

Systems architecture

ML infrastructure

Global initiatives

Education

Bachelor’s degree or equivalent practical experience

Master’s or PhD in Engineering/CS or related

Tools

GPUs

TPUs

ML infrastructure

Job description

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 7 years of experience leading technical project strategy, ML design, and working with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).<\/li>
• 5 years of experience in systems architecture and large-scale serving infrastructure.\
• Experience delivering technical solutions in a changing environment.\
• Experience working in multinational or internationalised (i18n) organisations on global initiatives.\<\/li> <\/ul>

  Preferred qualifications:

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.\<\/li>
  • 8 years of experience with data structures and algorithms.\<\/li>
  • 5 years of experience in a technical leadership role leading project teams and setting technical direction.\<\/li>
  • 3 years of experience working in a complex, matrix organisations involving cross-functional, cross-timezone or cross-business projects.\<\/li>
  • Experience in serving Generative AI models using inference frameworks or hardware accelerators (e.g., GPUs, TPUs).\<\/li> <\/ul>

    About the job

    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. As a part of the Cloud AI Agent Platform team (previously known as Vertex), you will focus on building highly differentiated, highly scalable, and easy-to-use GenAI products and services that enable customers to transform their business with GenAI. You will be responsible for building the high-performance, hyper-scale backend infrastructure that powers the Vertex AI APIs, serving millions of requests and enabling the next-generation of AI-driven applications. In this role, you will have a unique opportunity to be at the absolute forefront of the Generative AI revolution. You will be building the foundational API layer and infrastructure that serves massive foundation models (like Gemini) to the world. In this role, you will address unprecedented scaling challenges, optimize for ultra-low latency, and design scalable systems that define how developers interact with state-of-the-art AI. You will operate in a highly dynamic, incredibly fast-paced environment where your work will have an immediate and massive impact on Google Cloud's most strategic product area. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. Poland: zł640000 - zł655000 (PLN) + 25% bonus target + equity + benefits Learn more about benefits at Google.

    Responsibilities

    • Architect, develop, and maintain robust, horizontally scalable APIs and backend infrastructure tailored specifically for Generative AI workloads.\<\/li>
    • Optimize the routing, load balancing, quota management, and data plane mechanisms that connect user API requests to backend ML serving clusters across massive fleets of TPUs and GPUs.\<\/li>
    • Prototype and launch new API products rapidly in a fast-paced, highly collaborative environment, rapidly to expose the latest advancements in Google's foundation models.\<\/li>
    • Collaborate closely with ML researchers, ML serving teams, and product managers to translate complex AI capabilities into intuitive, highly reliable enterprise-grade APIs.\<\/li>
    • Define and implement best practices for API security, high availability, fault tolerance, and comprehensive observability across distributed systems.\<\/li> <\/ul>

      Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

      Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

      If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

      Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

      To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

      Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.