The Investment Technology department is an internal software engineering organization whose mission is to provide and expand the technical capabilities that drive our systematic investment process. As an active manager, Arrowstreet seeks to design investment portfolios that will, in expectation, outperform their respective benchmarks on a risk-adjusted basis. To do so, the firm relies on a large set of proprietary systems and applications that provide our investment teams with powerful capabilities to conduct research for alpha generation, to implement investment strategies efficiently, to accurately manage our client accounts, and to provide in-depth analysis and reporting of our investment performance to our investors. Technology is integral to our long-term success, and we regard outstanding engineering talent essential to the firm's ability to meet its investment performance and fiduciary goals. We strongly believe that powerful capabilities are critical for the firm to maintain and enhance its competitive advantage, so we look out for strong, motivated and collaborative technologists who are passionate about building production-quality systems using modern tools. As a member of the Compute Platforms team, you will be responsible for the architecture and development of the compute platform, workflow, messaging, AI and observability systems. Arrowstreet, as a systematic asset manager, must identify investable trading strategies and implement them quickly and with the highest quality. Having a robust, scalable, and performant general compute platform, workflow and messaging system is thus of critical importance. The ideal candidate will possess experience in building distributed systems, applications and infrastructure, experience with Kubernetes and AWS Cloud, experience in designing and implementing large scale systems. The expectation of the role is to be hands-on, working across multiple teams to define requirements, create the design, develop, test, build, deploy and support the functionality of various business critical platforms. The work includes developing Infrastructure-As-Code solutions, developing the automated build and deploy pipelines with unit and integrated tests to ensure high quality and efficient operations, and be part of on-call support rotation.