Lead DevOps Engineer (GCP)

We are looking for a talented DevOps Engineer (with GCP) to join our team in Poland. 

Our California-based customer is an American global e-commerce leader, one of the most popular and successful websites on the Internet. It provides platform services by connecting millions of sellers and buyers in more than 190 markets around the world. 

The DevOps Engineer will be responsible for building an innovative cloud-based live-streaming platform to shape the future of global e-commerce. Our goal is to personalize the online shopping experience, engage customers with more ways to interact with sellers and automate processes to increase buying satisfaction. 

We are developing a robust end-to-end project, employing a modern stack of tools with the best principles and practices from Agile and DevOps culture.

This talent will join our team to be a hands-on contributor with a focus on designing, conducting PoCs, developing, and continually improving Infrastructure as Code (IaaC) required by the supported programs. We search for a subject matter expert on key operational aspects like scalability, availability, latency, and monitoring. 

Key Responsibilities:

• Define, review, and implement cloud deployment architecture (GCP-focused) along with Solution Architect and other engineers
• Support engineering team with pipeline and deployment automation (CI/CD)
• Ensuring smooth and scalable services after production rollout

Requirements:

• 5+ years of experience as a DevOps engineer 
• Proficiency in GCP
• Possessing a deep understanding of automation tools and principles
• Demonstrated expertise in CI/CD pipelines, utilizing tools such as GitHub, GitLab CI/CD, or similar,
• Build, configure and manage tools for fast and reliable deployments of our software
• Strong version control experience using Git for collaboration and version tracking
• Strong scripting skills (Python, Bash, etc.) for automation and operational tasks
• Experienced with Groovy. Know how to write pipelines
• Proficient in containerization and orchestration technologies, such as Docker and Kubernetes, especially GKE