Senior Platform Engineer

Pracovní nabídka

We succeeded thanks to a team of amazing people. They spend their days collecting, analyzing, and interpreting data from a wide range of live sporting events. If you combine this real-time data with our 40-year-old archives, elite journalists, camera operators, copywriters, the latest in AI wizardry, and a host of 'behind the scenes' support staff, you've got all the ingredients to make it a magical experience!

Our teams of technical experts specialize in harnessing live sporting data, using advanced cloud technologies, Java, JavaScript and Python. It is these tech teams that enable us to extract patterns through AI and Machine Learning and deliver our insights via APIs. In short, they turn complex data into magical experiences with cutting-edge technology.

Responsibilities:

• Architect and implement robust solutions leveraging Kubernetes as the primary orchestration tool, focusing on the deployment and management of GPU workloads with NVIDIA cards.
• Design, build, and maintain Kubernetes clusters in both on-premises and cloud environments, ensuring high availability, scalability, and security.
• Develop and implement a new deployment process heavily reliant on Kubernetes, including infrastructure automation and Infrastructure as Code (IaC) principles.
• Integrate supplementary services like Single Sign-On and cloud application integrations.
• Collaborate with internal teams and third-party vendors to implement architecture solutions that are robust, maintainable, and supportable.
• Serve as the point of contact for Kubernetes-related activities, coordinating with suppliers/vendors and internal stakeholders.
• Build monitoring solutions specifically tailored for Kubernetes clusters, including setting up Prometheus or similar tools for effective cluster health monitoring.
• Drive automation efforts within Kubernetes, utilizing tools like ArgoCD, HELM, and Terraform to streamline deployments and cluster management.
• Train and hand over new services to the support teams, ensuring comprehensive documentation and knowledge transfer.

Required qualifications:

• Extensive hands-on experience with Kubernetes, including setting up, managing, and troubleshooting clusters in on-premises and cloud environments.
• Strong knowledge of Amazon Web Services (AWS) and experience with cloud-native services.
• Proficiency with Infrastructure as Code (IaC) tools like Terraform for automating infrastructure.
• Solid understanding of containerization technologies and how they integrate within orchestration platforms.
• Experience with monitoring tools and platforms, with a focus on ensuring the health and performance of deployed services.
• Experience in managing and automating infrastructure across Linux systems.
• Excellent troubleshooting skills, particularly in large-scale, distributed environments.
• Experience with CI/CD pipelines and modern deployment practices.
• Familiarity with load balancer solutions and network configurations for high-availability environments

Desired qualifications:

• Knowledge of a programming language like Python, Ruby, or Go.
• Experience with ArgoCD, HELM, and other Kubernetes-native tools for managing deployments and configurations.
• Understanding of LDAP and authentication mechanisms in the context of Kubernetes security.
• Experience with log aggregation and monitoring tailored for large-scale deployments.
• Comfortable supporting applications built in various languages (e.g., NodeJS, Java, PHP).
• Knowledge of both relational and non-relational databases, particularly MySQL.
• Experience with Windows Server automation and PowerShell.