Cloud engineer in infrastructure

The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.

• Provide domain expertise in cloud platforms and infrastructure; solving complex cloud platform challenges.
• Work with customers to design and implement Cloud based technical architectures, migration approaches, and application optimizations that enable business objectives.
• Be a technical advisor and perform troubleshooting to resolve technical challenges for customers.
• Create and deliver best practice recommendations, tutorials, blog articles, and sample code.
• Travel up to 30% for in-region for meetings, technical reviews, and onsite delivery activities.

• Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
• Experience in writing and reading/debugging code written in a general purpose coding language (e.g., Java, C, C++, Python, Shell, Go or JavaScript, etc.) and in virtualization and orchestration frameworks.
• Experience as a system administrator with Linux/Unix systems and debugging issues across the hardware/software boundary on enterprise-grade server infrastructure.
• Experience troubleshooting and advocating for customer needs, and triaging technical issues across the stack (e.g., hardware faults, low-level software, networking, virtualization, kernel drivers, firmware, performance).
• Будет плюсом: Experience working with distributed systems, and familiarity with common solutions, design patterns, or best practices; Experience working directly with AI/ML computing hardware, including GPUs or other accelerators; Familiarity with containerization and orchestration technologies like Kubernetes or Slurm in an on-prem or cloud environment; Experience with ML frameworks (e.g., TensorFlow, PyTorch), and understanding of the AI/ML training and inference lifecycle

• Poland: zł188000 - zł192000 (PLN) + 15% bonus target + equity + benefits