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Senior Cloud Engineer responsible for enabling AWS services, advancing team skills, automating AWS services, and collaborating with cross-functional teams. Requires Bachelor's degree in Computer Engineering, 5+ years of experience in Python development, cloud automation, and DevOps tools. Experience with AWS and financial services is a plus. Strong passion for technology and teamwork essential.

The Senior Engineer will develop and enhance the compute platform for high-performance workloads in the cloud, focusing on observability. Responsibilities include defining requirements, leading design discussions, creating automated deployment pipelines, and providing production support.

The Senior Software Engineer will design, implement, and maintain cloud-native applications and APIs for the portfolio finance team, focusing on automation and quality through unit testing and code reviews. They will drive innovation in investment software and collaborate across teams to support business technology needs.

As a Senior Quantitative Developer, you will create and maintain Python libraries, enhance our data science technology stack, and implement financial data APIs. Your role includes applying cloud and distributed computing technologies, mentoring junior developers, and leading major features in our research data platform.

The Senior Simulation HPC Engineer will design and develop compute platforms for the Research Systems group, focusing on portfolio simulation capabilities. Responsibilities include managing software projects end-to-end, leading technical design discussions, and providing production support while collaborating closely with the Research group to implement high-performance, scalable solutions.

The Appian Engineer will design, implement, and enhance custom workflows using Appian on an AWS platform, engage with users for testing and support, define best practices for development, and mentor others while promoting high-quality service and collaboration.

The Senior Platform Engineer will automate and enhance developer tooling and platforms for the Quantitative Investment Research group. Responsibilities include developing GitLab pipelines, creating insights for security and resource usage, managing integrations, and building secure container images, all while promoting automation and improving the development process.