- Work model
- Remote
- Experience
- 5+ years
- Employment
- Not specified
- Compensation
- Not disclosed
- Technology signal
- 10 tags
Technology context
10Parsed from the vacancy text; ordered by relevance to this role.
Distributed SystemsDatabasesGoKafkaLow-Latency SystemsScalabilitySoftware ArchitectureLinuxRustPerformance Optimization
Full listing
Role 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 Romania-based 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