Core Responsibilities

Develop and operate ultra-efficient execution components supporting multiple order behaviors and automated workflows
Connect internal systems with various external trading venues while meeting extremely tight response-time constraints
Architect and fine-tune order lifecycles and routing logic with sub-millisecond accuracy
Evolve backend platforms to reliably process very high transaction throughput with near-zero interruption
Work side-by-side with quantitative and engineering teams to translate algorithmic ideas into production systems

Professional Background

3–5 years of experience building server-side systems with strong hands-on expertise in Golang and/or Rust
Background in performance-sensitive platforms or environments where speed and determinism are critical
Demonstrated ability to deliver highly reliable, latency-aware backend services

Bachelor’s degree in Computer Science, Engineering, or comparable practical experience

Advanced proficiency in Golang and/or Rust
Experience working with PostgreSQL or other scalable, high-throughput data stores
Strong knowledge of low-latency communication patterns and network optimization
Familiarity with trade lifecycle platforms and execution workflows
Solid understanding of concurrency models and non-blocking system design

In-depth understanding of real-time trading platform architectures
Experience integrating with external venues using industry-standard protocols or proprietary interfaces
Awareness of market mechanics and diverse order behaviors
Practical knowledge of end-to-end latency reduction techniques (network stack, OS, and application level)

Exposure to hardware-level acceleration or specialized compute environments
Experience with monitoring, observability, and reliability frameworks for mission-critical systems
Strong understanding of memory usage patterns and CPU-level performance tuning
Familiarity with proximity hosting environments and direct connectivity setups

Ownership of key components within a performance-driven trading platform
Close collaboration with highly skilled quantitative and engineering professionals
Technically demanding challenges focused on pushing system performance to its limits