Platform Infrastructure Engineer

About the role

CoinDesk is the most trusted media, events, indices and data company for the global crypto economy. Since 2013, CoinDesk Media has led the story of the future of money and investing, illuminating the transformation in society and culture that comes with it. Our award-winning team of journalists delivers news and unparalleled insights that bring transparency, comprehension and context. CoinDesk Events gathers the global crypto, blockchain and Web3 communities at annual events such as Consensus, the world’s largest and longest-running crypto festival. CoinDesk Indices offers expertise in digital asset indices, data and research to educate and empower investors. In November 2023, CoinDesk was acquired by the Bullish group, owner of Bullish, a regulated, digital assets exchange. CoinDesk operates as an independent subsidiary with an editorial committee to protect journalistic independence.

Reports To Lead Engineer, Platform Engineering. The Opportunity: We are looking for a Platform Infrastructure Engineer to help build, run, and scale the Google Cloud Platform (GCP) foundation powering our high-performance trading exchange. In this role, you’ll work directly alongside senior engineers to design automated infrastructure, manage production Cloud, Kubernetes environments, and deliver developer-friendly tooling. This is an exceptional growth opportunity for an engineer who wants to master cloud-native infrastructure at scale, deepen their expertise in low-latency systems, and accelerate their career in the digital assets industry.

Responsibilities

• Execute Infrastructure as Code (IaC): Write, test, and deploy modular Terraform code to provision safe, repeatable cloud environments on GCP and other cloud providers.
• Support Production Kubernetes: Maintain and optimize Google Kubernetes Engine (GKE) clusters, supporting containerized services with focus on uptime, networking, and scaling.
• Integrate and utilize AI-powered tools to enhance platform operations: Apply LLM-based coding assistants to accelerate infrastructure provisioning and debugging. As well as managing and improving the AI platform used by all teams.
• Enhance CI/CD & Developer Experience: Collaborate with application development teams to streamline CI/CD pipelines and accelerate code deployments to production.