Software Engineer - Investment Data Systems

Our team is responsible for building and maintaining technology solutions that support complex data and operational workflows within a sophisticated investment environment. We leverage a combination of modern engineering practices, custom-built systems, and third-party platforms to streamline processes and improve efficiency.

We are seeking a hands-on Software Engineer who enjoys solving complex problems and working collaboratively within a team. In this role, you will design and implement scalable systems that translate intricate business processes into reliable, production-ready software solutions.

Responsibilities

• Partner with business and technical stakeholders to understand requirements, evaluate solution options, and recommend scalable approaches
• Contribute to the design and implementation of cloud-native systems and architectures
• Deliver high-quality enhancements and new features across existing platforms
• Automate development, testing, and deployment processes to improve engineering efficiency
• Actively participate in agile development cycles as a collaborative team member
• Work cross-functionally with engineers, infrastructure teams, QA, and external partners
• Follow best practices around continuous delivery, testing, and containerization
• Create and maintain clear, professional documentation for systems and workflows
• Provide responsive support for production issues, ensuring minimal disruption

• Bachelor's degree in Computer Science, Engineering, or a related field
• Hands-on development experience using Python and/or C# (.NET Core)
• Strong collaboration and communication skills
• Solid foundation in software engineering principles, including data structures, algorithms, and object-oriented design
• Experience with testing methodologies, including unit testing and domain-driven or behavior-driven development
• Familiarity with cloud technologies and services (e.g., AWS: S3, Lambda, ALB, CloudWatch, SNS)
• Experience building backend services using Python and RESTful APIs