The role involves designing, building, and operating stream compute infrastructure to support global-scale financial operations. The individual will define long-term technical direction for stream processing systems while ensuring high availability and reliability. Responsibilities include developing automation for fleet management, self-service workflows, and self-healing systems to reduce manual operational tasks. The position requires partnering with various internal teams to understand requirements and facilitate the adoption of stream processing technologies. Additionally, the role involves evaluating and productionizing ecosystem capabilities to improve developer experience and system scalability.

The role requires at least 10 years of experience in building and operating large-scale production systems. Candidates must have a background as a technical lead for distributed systems and possess hands-on experience with big data technologies. Proficiency in programming languages such as Go, Java, or Scala is necessary, along with the ability to produce high-quality technical documentation. While not required, experience operating streaming infrastructure as a platform and making contributions to open source data processing projects are considered preferred qualifications.