C++ HFT Engineer — Remote-First, Flexible Hours

Venture Search

Schweiz

Remote

CHF 120,000 - 160,000

Full time

5 days ago
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Benefits offered by this job

Remote-first working environment

Job summary

Venture Search is seeking a C++ Software Engineer in Switzerland to develop and optimise high-load trading systems and connections to cryptocurrency exchanges. You will focus on performance, reliability, and low-latency execution in a demanding financial environment.

Responsibilities include building robust data pipelines, implementing new features, and collaborating with cross-functional teams to ensure correct algorithm behavior while tackling bugs and performance bottlenecks.

Qualifications

  • Minimum 3 years of professional software development experience.
  • Experience with C++.
  • Experience with high-load applications.
  • Strong understanding of design patterns, data structures, and algorithms.
  • Good understanding of networking concepts.
  • Knowledge of financial markets and low-latency/high-frequency systems and/or distributed systems.
  • Proficiency with AI-assisted development tools (Claude, Cursor, GitHub Copilot) and similar.

Responsibilities

  • Develop and maintain connections to cryptocurrency exchanges and data providers, and troubleshoot market data issues.
  • Develop and implement new features.
  • Collaborate with teams to ensure correct behaviour of algorithms and continuously improve trading systems.
  • Assist with identifying and resolving smaller bugs and technical issues.

Skills

C++
High-load applications
Design patterns
Data structures
Algorithms
Networking concepts
Low-latency systems
Distributed systems
AI-assisted development tools

Tools

Claude
Cursor
GitHub Copilot
Kafka

Job description

Venture Search is seeking a C++ Software Engineer in Switzerland to develop and optimise high-load trading systems and connections to cryptocurrency exchanges. You will focus on performance, reliability, and low-latency execution in a demanding financial environment.

Responsibilities include building robust data pipelines, implementing new features, and collaborating with cross-functional teams to ensure correct algorithm behavior while tackling bugs and performance bottlenecks.

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