Cloud Engineer - Infrastructure, AI

• Provide domain expertise in cloud platforms and infrastructure, solve complex cloud platform challenges.
• Work with customers to design and implement Cloud based technical architectures, migration approaches, and application optimizations that enable business objectives.
  
• Serve as 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.
  

Minimum qualifications:

• Bachelor's degree in Computer Science or equivalent practical experience.
• Experience automating infrastructure provisioning, DevOps, continuous integration, or delivery.
• Experience designing cloud enterprise solutions and supporting customer projects to completion.
  
• Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design.
  

Preferred qualifications:

• Experience with GCP techniques such as prompt engineering, dual encoders, and embedding vectors.
  
• Experience building prototypes or applications.
  
• Familiarity with standard IT security practices such as identity and access management, data protection, encryption, certificate and key management.
  
• Knowledge of containerization and container orchestration technologies such as Google Kubernetes Engine (GKE).
  

As a Cloud Platform and Infrastructure Engineer, you will provide exceptional technical guidance to customers adopting Google Cloud Platform (GCP) services, including providing best practices on secure foundational cloud implementations, automated provisioning of infrastructure and applications, cloud-ready application architectures, and more. You will also provide prescriptive guidance in ensuring that customers receive the best of what GCP can offer and have the best experience in migrating, building, modernizing, and maintaining applications in GCP. Additionally, you will work closely with Product Management and Product Engineering to drive excellence in Google Cloud products and features.

As a part of the Google Cloud Global Service Delivery (GSD) team, you will empower enterprise customers to modernize their cloud foundations and run scalable, AI-ready platforms. As a Cloud Engineer specializing in Cloud Infrastructure and AI solutions, you will contribute across Cloud Infrastructure, DevOps, Python automation, AIOps, and AI Agents. You will work alongside senior engineers on high-impact customer engagements, help build secure cloud landing zones and Google Kubernetes Engine (GKE) platforms, automate deployments with Terraform and CI/CD pipelines, write clean Python tooling, and operationalize AI agents and AI operations workflows on Google Cloud.

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

Learn more about benefits at Google.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Warsaw, Poland; Wrocław, Poland.

• Bachelor's degree in Computer Science or equivalent practical experience.
• Experience automating infrastructure provisioning, DevOps, continuous integration, or delivery.
• Experience designing cloud enterprise solutions and supporting customer projects to completion.
  
• Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design.