We are seeking a Senior Full-Stack Engineer to help redesign an Order Management System (OMS) for a top-tier financial services organization. You will play a key role in building a scalable, resilient, and modern trading platform, working across backend, frontend, and cloud components.
This is a hands-on engineering role requiring strong technical depth and experience working in fast-paced, mission-critical financial environments. You will collaborate closely with trading, risk, and technology teams to deliver high-quality solutions that support high-volume, real-time workflows.
Responsibilities
Design and develop full-stack solutions using C#, Python, and React within a modern distributed architecture.Build scalable, high-performance components supporting real-time trading and order workflows.Implement clean, maintainable code following best practices in testing, performance, and reliability.Support cloud deployment and modern DevOps tooling across AWS/Azure environments.Collaborate with cross-functional teams to translate business requirements into technical specifications.Participate in code reviews, architecture discussions, and continuous improvement of engineering practices.Contribute to platform modernization and migration away from legacy systems.
Required Experience
8+ years of software engineering experience in enterprise or financial services environments.Strong experience with C# and/or Python in production systems.Hands-on experience with React or similar modern frontend frameworks.Background working with trading systems (OMS, EMS, pricing, execution, market data, or related).Experience building distributed, cloud-based applications (AWS or Azure).Solid understanding of REST APIs, microservices, and performance optimization.Strong problem-solving skills and ability to work in a fast-paced environment with multiple stakeholders.
Preferred Experience
Exposure to fixed-income or multi-asset trading workflows.Experience with high-throughput, low-latency architecture and real-time data processing.Experience with messaging systems such as Kafka, RabbitMQ, or similar.
