Lead DevOps Engineer - Real-Time Trading Platform

Salt Digital Recruitment; Houston (TX); On-site; USD 140,000 - 230,000; Full time

Job summary

Salt Digital Recruitment is seeking a Lead DevOps Engineer in Houston to join a small, high-performing team supporting global production trading environments. You will oversee critical workflows, boost platform availability and reliability, and resolve complex issues impacting developers and traders.

Ideal candidates have extensive experience with real-time data systems, exchange connectivity (FIX, TT/NYFIX), and time-series platforms such as kdb+ or Shakti, with a track record in algorithmic

Qualifications

• Minimum 8 years in commodity trading, capital markets or similar environments.
• Experience with real-time market data systems and feed handlers.
• Knowledge of exchange-traded derivatives lifecycle.
• Exposure to external trading networks and order management platforms.

Responsibilities

• Hands-on DevOps engineer in a small, high-performing team supporting global production trading environments.
• Oversee critical workflows; improve platform availability, stability, and resilience.
• Investigate and resolve technical issues affecting developers and production teams.
• Serve as technical specialist for electronic and front-office trading platform initiatives.
• Support reliable and scalable algorithmic trading within a regulated environment.
• Participate in global on-call rotation with engineering teams.
• Familiarity with algorithmic trading regulations and compliance controls is a plus.

Skills

Python

PowerShell

C#

SQL

Communication

Incident response

Tools

kdb+

Shakti

DACS

ADH

ADS

FIX connectivity

TT

NYFIX

Bloomberg TradingScreen

Job description

Salt Digital Recruitment is seeking a Lead DevOps Engineer in Houston to join a small, high-performing team supporting global production trading environments. You will oversee critical workflows, boost platform availability and reliability, and resolve complex issues impacting developers and traders.

Ideal candidates have extensive experience with real-time data systems, exchange connectivity (FIX, TT/NYFIX), and time-series platforms such as kdb+ or Shakti, with a track record in algorithmic