Lead Rust / Go Software Engineer

Description

We are seeking a Lead Rust/Go Software Engineer to join a team consolidating UL Link, T-Bricks, and CQG into a unified platform, building the distributed cache/memory model that distributes market and reference data at ultra-low latency. This role directly supports the broader canonical data model effort, delivering normalized and low-latency versions of transaction, market, and reference data. Responsibilities Design and build a distributed caching layer for high-throughput, low-latency market data distribution Leverage QuestDB to support fast data access across the platform Collaborate with technical leads on architecture and integration decisions Support consolidation of feed handlers and connectivity layers across UL Link, T-Bricks, and CQG Define data models and schemas to support normalized market and reference data Optimize memory management and concurrency patterns for ultra-low latency workloads Participate in code reviews and mentor team members on distributed systems best practices Requirements 5+ years of experience in Rust or Go, with a background in distributed systems Experience building low-latency, high-throughput systems Knowledge of time-series databases such as QuestDB, KDB, or InfluxDB Understanding of capital markets / market data, including equities, derivatives, futures & options Proficiency in system design for scalable, fault-tolerant architectures Familiarity with Linux performance tuning and profiling tools Proficiency in English at a B2+ level Nice to have Experience with streaming/messaging systems such as Kafka Familiarity with FIX protocol

Requirements

• 5+ years of experience in Rust or Go, with a background in distributed systems

• Experience building low-latency, high-throughput systems

• Knowledge of time-series databases such as QuestDB, KDB, or InfluxDB

• Understanding of capital markets / market data, including equities, derivatives, futures & options

• Proficiency in system design for scalable, fault-tolerant architectures

• Familiarity with Linux performance tuning and profiling tools

• Proficiency in English at a B2+ level

Responsibilities

• Design and build a distributed caching layer for high-throughput, low-latency market data distribution

• Leverage QuestDB to support fast data access across the platform

• Collaborate with technical leads on architecture and integration decisions

• Support consolidation of feed handlers and connectivity layers across UL Link, T-Bricks, and CQG

• Define data models and schemas to support normalized market and reference data

• Optimize memory management and concurrency patterns for ultra-low latency workloads

• Participate in code reviews and mentor team members on distributed systems best practices

Seniority

• Lead

Nice to have

• Experience with streaming/messaging systems such as Kafka

• Familiarity with FIX protocol