Lead Software Engineer, DevOps – Electronic Market Making

About the role

As a Lead Software Engineer, DevOps on the Electronic Market Making team, you will ensure the reliability, automation, and operational efficiency of a latency‑sensitive trading platform used in live financial markets. You will collaborate with senior engineers to maintain infrastructure, tooling, and deployment pipelines that support global teams.

Key responsibilities

• Support and maintain CI/CD pipeline infrastructure, including build orchestration, automated testing, artifact management, and multi‑region deployments.
• Develop automation scripts in Python and Bash to streamline operational workflows, environment provisioning, and configuration management.
• Manage and troubleshoot Linux‑based (RHEL/CentOS) production and development environments, handling tuning, capacity planning, and resource monitoring.
• Implement infrastructure‑as‑code to ensure consistent environment configuration across development, UAT, and production.
• Build and operate monitoring, alerting, and observability solutions to meet SLA requirements for latency‑sensitive systems.
• Assist with network configuration and troubleshooting for market data distribution and exchange connectivity.
• Apply reliability practices such as automated failover, disaster recovery, and post‑incident root‑cause analysis.
• Develop internal developer tooling and self‑service platforms to boost engineering productivity.
• Promote AI‑assisted engineering practices, including AI‑driven code review, test strategy acceleration, and incident analysis.

Required profile

• Bachelor's degree in Computer Science or equivalent.
• 5+ years of experience in DevOps, Site Reliability Engineering, or Production Engineering.
• Strong Linux systems administration experience (RHEL/CentOS).
• Proven ability to work with cross‑functional teams to improve operational readiness.

Required skills

• Python scripting/automation.
• Bash/Shell scripting.
• Linux (RHEL/CentOS) administration.
• CI/CD pipeline design and maintenance.
• Infrastructure‑as‑code tools.
• Monitoring and observability platforms.
• Network configuration and troubleshooting.
• AI‑assisted development tools.