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Teza Technologies

Trading Platform Developer

Austin, Texas, United States +2

Location
Austin, Texas, United States · Yerevan, Armenia · London, England, United Kingdom
Work
On-site
Employment
Full-time
Level
Not stated
Function
Engineering
Pay
Not stated
Posted
4 weeks ago

About the role

About the role

We have an exciting opportunity in the real-time, low-latency trading platform space for an efficient, self-directed, core infrastructure developer with a desire to learn new systems and design techniques. In this role, you will design and implement new functionality as well as optimize and troubleshoot the existing system while working with various team members. We offer competitive compensation and excellent benefits.

Key Responsibilities

  • Design, develop, and support core components of the real-time trading platform: market data, order management, exchange connectivity, and execution infrastructure
  • Troubleshoot and resolve production issues across a globally distributed trading infrastructure
  • Develop and maintain Java and C++ trading systems

Basic Requirements

  • 5+ years experience in a front-office trading environment building low-latency systems using Core Java and C++
  • Bachelor’s or Master’s degree in Computer Science or related field
  • Experience with Network Programming (TCP, UDP), binary protocols
  • Experience with Unix/Linux Development
  • Experience with multi-threading and lock-free data structures
  • Experience with some subset of: Market Data, Order Management System, FIX, Algo Trading, Smart Order Router, DMA, and ITCH
  • Ability to work in a fast-paced, dynamic environment

Nice to have

  • Experience with Python for tooling, analytics, or data pipelines
  • Experience with Grid Computing / Big Data
  • Experience with databases (SQL, MongoDB, Redis, or similar)
  • Experience with cloud infrastructure (AWS)

Benefits

  • Health, visual and dental insurance
  • Flexible sick time policy

Source

Posted by Teza Technologies on their own hiring page, jobs.ashbyhq.com. OptiTalent shows it as published, read 07 Nov 2026 00:41 UTC; the original is the reference.

View the original ad ↗

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