Staff Software Engineer (Bus Logic)

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.