Engineering Manager, Vertex Inference on Hybrid Cloud, Cloud AI
The mission of Vertex on Hybrid Cloud is to introduce AI/ML capabilities to Google Cloud, making it reliable, performant, cost-effective, flexible, and simple for Google Cloud customers. This team brings Google's machine learning investments, along with Cloud and open-source software (OSS) technologies, to provide the ML infrastructure, tools, and services that power Google Cloud customers. This opportunity lies at the intersection of AI/ML and distributed systems, presenting a chance to provide technology to businesses worldwide.
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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.Poland: zł480000 - zł492000 (PLN) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
- Provide direct line management, performance management, mentoring, and career growth for a team.
- Guide technical direction, operational efficiency, and high-quality delivery for Hybrid Cloud and Gemini inference serving stacks.
- Partner closely with the overall organization lead to align product roadmaps and technical architecture.
- Foster a supportive and high-performing engineering culture at the Warsaw site.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience building and developing infrastructure.
- 5 years of experience with software development in one or more programming languages.
- 2 years of experience in managing and leading teams as Technical lead manager.
Preferred qualifications:
- Experience with Machine Learning frameworks, large language models (LLMs), or developing AI/ML applications.
- Experience building and working with API-driven platforms and developer-facing tools.
- Experience with Google Cloud Platform services.
- Familiarity with container orchestration technologies (e.g., Kubernetes) and cloud-native development.
- Understanding of on-premise, hybrid cloud, or air-gapped environments.
- Knowledge of Agentic AI concepts, frameworks (e.g., LangChain), or building multi-agent systems.
