Participate in the design, development, testing, deployment, and maintenance of solutions
Build and maintain APIs, services, tools, and platform components that enable seamless integration with front-office quant workflows.
Interface with users of the platform to understand their use cases and help them make effective use of available tools and services.
Work closely with researchers and technology teams to translate business and research needs into practical engineering solutions.
Contribute to scalable platform capabilities, including workflow tooling, metadata management, distributed storage, and integration services.
Research best practices and propose feature specifications and enhancements for the platform roadmap.
Develop and maintain tools that complement the core platform offering and improve usability, adoption, and operational efficiency.
Ensure solutions are reliable, secure, scalable, and aligned with firmwide engineering standards.
Produce clear documentation, user guides, and technical materials to support adoption and long-term maintainability.
Collaborate with global teams in an open, intellectually curious, and delivery-focused environment.

University degree, preferably in Computer Science, Engineering, Electrical Engineering, Mathematics, or a related technical field.
At least 5 years of professional software engineering experience.
Strong English communication skills and experience working in a global environment.
Expertise in software lifecycle management methodologies and tools, including Git and JIRA.
Strong programming expertise in at least one of the following: Python, Go, C, or C++.
Strong working knowledge of UNIX/Linux.
Experience designing, developing, testing, and supporting production-quality software systems.
Ability to work directly with technical and non-technical users to understand requirements and deliver effective solutions.
Knowledge of the design and development of large-scale distributed systems, distributed storage platforms, workflow platforms, or data-intensive systems.
Experience building APIs, backend services, platform tooling, or developer enablement solutions.
Familiarity with quant research workflows, investment technology platforms, data pipelines, or front-office systems.
Exposure to CI/CD, observability, containerization, orchestration, or cloud-native development practices.
Interest in open architecture, graph-based frameworks, metadata-driven systems, and extensible platform design.

Senior Engineer

Let the right jobs find you