Senior Engineer, Platform Infrastructure

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.

Reports to:

Vice President, Platform and Operations

As a Senior Platform Infrastructure Engineer, you will be responsible for maintaining and managing our cloud infrastructure in Google Cloud Platform (GCP), AWS and Azure. You will work closely with cross-functional teams to ensure that our cloud solutions align with business objectives and industry best practices. Your expertise will be pivotal in optimizing our cloud environment for performance, cost-efficiency, and security. You will be expected to utilise bleeding edge AI tooling to help optimise for the future.

Role & Responsibilities

• Design, deploy, and manage scalable, secure, and resilient cloud infrastructure on GCP.

• Automate cloud operations and infrastructure as code using tools such as Terraform.

• Monitor cloud infrastructure performance, identify issues, and implement solutions to ensure high availability and reliability.

• Optimize cloud resources for cost-efficiency while maintaining performance and security standards.

• Lead incident response and troubleshooting efforts for cloud-related issues.

• Automation, Tooling & AI Integration

• Collaborate with development, operations, and security teams to define cloud architecture and implement best practices.

• Integrate and utilize AI-powered tools to enhance platform operations, such as:

• Applying LLM-based coding assistants (e.g., Claude Code, Gemini Code, GitHub Copilot) to accelerate infrastructure provisioning and debugging.

• Leveraging AI for advanced log analysis, anomaly detection, and predictive maintenance within the observability stack.

• Building prototypes for Generative AI applications to assist developers with documentation generation or creating self-service scripts.

• Build and enhance the internal developer platform (IDP) to offer self-service tooling, driving efficiency across engineering teams.

• Develop and maintain comprehensive documentation for cloud infrastructure and processes.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent experience.

• Proven experience in cloud infrastructure engineering, with a focus on GCP or AWS.

• Strong Kubernetes experience.

• Proven expertise in designing and managing cloud environments, including compute, storage, networking, and security components.

• Strong experience with infrastructure as code tools such as Terraform, CloudFormation, or similar.

• Proficiency in scripting and automation using languages such as Python, Go or Bash.

• In-depth understanding of cloud security best practices and compliance frameworks.

• Experience with CI/CD pipelines and DevOps practices.

• Excellent problem-solving skills and the ability to work under pressure.

• Strong communication and collaboration skills, with the ability to work effectively in a team environment.

Preferred Qualifications

• Relevant cloud certifications (e.g., AWS Certified Solutions Architect, Google Cloud Professional Cloud Architect).

• Experience with containerization and orchestration tools such as Docker and Kubernetes.

• Familiarity with hybrid cloud environments and multi-cloud strategies.

• Practical experience using AI coding and productivity tools (e.g., Gemini CLI, Claude Code, GitHub Copilot) for infrastructure-related tasks.

• Experience integrating generative models (LLMs) or similar AI components into automation workflows or internal developer tooling.

Bullish is proud to be an equal opportunity employer. We are fast evolving and striving towards being a globally-diverse community. With integrity at our core, our success is driven by a talented team of individuals and the different perspectives they are encouraged to bring to work every day.