Platform Infrastructure Engineer

About Bullish

Bullish is an institutionally focused global digital asset platform that provides market infrastructure and information services. These include:  Bullish Exchange – a regulated and institutionally focused digital assets spot and derivatives exchange, integrating a high-performance central limit order book matching engine with automated market making to provide deep and predictable liquidity. Bullish Exchange is regulated in Germany, Hong Kong, and Gibraltar.  CoinDesk Indices – a collection of tradable proprietary and single-asset benchmarks and indices that track the performance of digital assets for global institutions in the digital assets and traditional finance industries.  CoinDesk Data - a broad suite of digital assets market data and analytics, providing real-time insights into prices, trends, and market dynamics.  CoinDesk Insights – a digital asset media and events provider and operator of [Coindesk.com]( a digital media platform that covers news and insights about digital assets, the underlying markets, policy, and blockchain technology.

Lead Engineer, Platform Engineering

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.

• 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.
• Troubleshoot & Respond: Participate in incident response, dig into root causes alongside senior team members, and build long-term fixes to prevent recurrence.
• Optimize Cloud Resources & Cost Efficiency: Balance cloud spend with high performance, scaling efficiency, and strict security standards.
• Drive Cross-Functional Collaboration: Work closely with development, operations, and security teams to define robust cloud architecture and champion industry best practices.
• Expand Developer Self-Service (Backstage IDP): Build and enhance our Backstage internal developer portal to streamline workflows and boost productivity across all engineering teams.

• Proven expertise in designing and managing cloud environments, including compute, storage, networking, and security components.
• Solid working knowledge of containers and orchestration tools (Kubernetes, Docker, etc.) in production or staging environments.
• Experience with infrastructure as code tools such as Terraform, CloudFormation, or similar.
• Understanding of continuous integration/deployment platforms (e.g., GitHub Actions, GitLab CI, ArgoCD).
• Understanding of networking fundamentals (VPCs, DNS, load balancers, firewalls).
• Eagerness to learn, strong problem-solving skills, and a disciplined approach to reliability and security.
• Effective communicator who thrives in a collaborative, fast-paced team environment.

• Applicable cloud certifications, such as Google Cloud Professional Cloud Architect or AWS Certified Solutions Architect.
• Ability to automate tasks using Python, Bash, or Go.
• Exposure to financial technology, crypto systems, or high-volume web platforms.