Forward Deployed Software Engineer - Equities Technology

Forward Deployed Software Engineer - Equities Technology About Millennium Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium’s mission is to deliver results for our investors. Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact. Meet the Team The Equities Embedded Portfolio Management Solutions Team sits within Millennium’s Information Technology organization, which is core to the health and growth of the business. The firm’s active, multi-manager model demands flexible, scalable technology and advanced proprietary systems, including the development of next-generation analytical and trading capabilities. The team is a specialized engineering group at the intersection of technology and quantitative finance. Its mission is to accelerate the research and trading strategies of Millennium’s systematic Portfolio Management teams by serving as an internal center of excellence for expert-level solutions, architecture, and hands-on development in AI, cloud platforms including AWS and GCP, DevOps, and high-performance computing. The team’s engagement model ranges from expert advisory and solutions architecture to fully embedded, project-based implementations that build bespoke solutions directly for Portfolio Management teams. The team also builds and maintains managed services, libraries, and reusable patterns that form the foundation of modern quantitative research at the firm.

Take on a role that is not a typical software development position; blend solutions architecture, software engineering, and client engagement as a hands-on, business-facing engineer, partnering directly with systematic Portfolio Management teams, quantitative researchers, developers, and portfolio managers as a trusted technical advisor. Understand unique business and research needs and translate complex, sometimes ambiguous requirements into robust, scalable, and secure technical architectures across on-premises, hybrid, and cloud environments. Design, build, and deliver high-quality, production-ready solutions across the full stack, including Python libraries, infrastructure as code with Terraform, CI/CD pipelines, automation scripts, and ML/AI proof-of-concepts. Develop and maintain managed products, reusable libraries, engineering patterns, and best practice guides that expand self-service capabilities and accelerate onboarding for new and existing teams. Own embedded engagements from discovery and planning through implementation, knowledge transfer, and support, acting as the primary technical point of contact while removing blockers and navigating the firm’s ecosystem on behalf of business partners. Prepare and deliver compelling presentations, architectural diagrams, and software demos for technical and non-technical audiences, articulating complex technical concepts in clear, business-centric terms to build consensus and drive decisions. Stay at the forefront of AI, MLOps, and cloud and hybrid technologies, building solutions for advanced use cases including distributed GPU training, large-scale data processing, and the integration of generative AI into research workflows. Participate in the team’s on-call rotation, providing expert-level support for managed products and core platforms including cloud, DevOps, and grid environments, while turning support challenges into engineering opportunities through intelligent automation and AI agents that reduce manual work and improve operational efficiency. What You Bring Bachelor’s or Master’s degree in Computer Science,