About the Company:
Our client is a forward-thinking financial services firm modernizing the brokerage landscape. Theyve built a fully cloud-native clearing and custody system to meet the demands of todays complex, global markets. With a focus on robust data modeling, scalable architecture, and intuitive APIs, they deliver a best-in-class experience for clients and handle billions in daily trading volume. Their team combines top engineering talent with deep financial expertise to compete in fast-paced capital markets.

The Team:
This teams mission is to deliver best execution across asset classes and regions. Theyre building a next-generation, cloud-based trading platform that offers high-performance access to liquidity venues, advanced charting, and flexible order workflows for active traders and institutional clients alike.

The Role:

• Build highly available, horizontally scalable, mission-critical applications using a modern tech stack.

• Tackle complex engineering challenges and continuously refine your expertise.

• Collaborate with stakeholders to define, develop, and deliver new features.

• Gain deep understanding of the trading domain.

Key Responsibilities:

• Develop the core order state machine, advanced order types, and parent-child orchestration for a new Order & Execution Management System (OEMS).

• Implement credit, market access, and risk checks that are efficient, ordered, and audit-ready.

• Model venue-specific market rules using zero-cost Rust abstractions.

• Translate regulatory changes (e.g., CAT, Reg NMS, MiFID) into executable specs and automated tests.

• Publish reusable Rust crates for downstream systems and business users.

• Promote property-based testing, clear state transition diagrams, and high-quality code reviews.

Requirements:

• 5+ years building low-latency backend systems in Rust, C++, or similar.

• Strong knowledge of order lifecycles and capital markets workflows (buy-side EMS, sell-side OMS, or exchange matching engines).

• Expertise in event-driven architectures and distributed systems (Kafka, Aeron, NATS, etc.).

• Proven skill in domain-driven data modeling and system design.

• Experience translating compliance/regulatory needs into reliable, testable code.

Nice to Haves:

• Production Rust experience.

• Familiarity with high-performance messaging protocols (IPC, multicast, Aeron).

• Deep knowledge of trading protocols like FIX, ITCH, or OUCH.

• Exposure to multiple asset classes (options, futures, crypto).

• Understanding of global trading system design.

Team Stack:
Rust, gRPC, PostgreSQL, Snowflake, Kafka, Aeron, Kubernetes.