DevOps Engineer
Location: Montreal (Hybrid 3x/week); Local Candidates Only
Pay: $65-69/hr corp or $55-58/hr T4
No Visa Sponsorship
Responsibilities:
- Lead the operational oversight and modernization of the Real Time Market Data team, ensuring platform stability, readiness, and successful execution of infrastructure changes across approximately 200 production hosts
- Drive execution of TCM activities, mandatory software upgrades, infrastructure migrations, and post-checkout validations to ensure operational integrity and minimize production risk
- Develop automation solutions and operational tooling using Python, Shell scripting, and AI-assisted development technologies to improve efficiency, reduce manual effort, and increase platform reliability
- Build and maintain agentic workflows, reusable automation assets, and AI-driven development tools utilizing technologies such as Copilot to support operational and engineering productivity across RTMD
- Partner with Development, Infrastructure, and Operations teams to support production deployments, platform upgrades, troubleshooting activities, and strategic modernization initiatives
- Drive continuous improvements in monitoring, automation, resiliency, and operational controls to support the reliability and scalability of brokerage's market data platforms
Qualifications:
- 3+ years of experience in Python, Shell scripting and Linux, including market data infrastructure, enterprise monitoring platforms, and operational tooling
- Experience in infrastructure modernization, platform migrations, software deployments, and production change management across distributed systems
- Expertise in Python and Shell scripting for automation, monitoring, operational tooling, and platform management
- Ability to design and implement proactive monitoring, observability, and health-check frameworks to improve system reliability and operational readiness
- Experience in AI-assisted software development and automation, including the use of tools such as GitHub, Copilot and agentic workflows to improve engineering productivity and operational efficiency
- Understanding of Linux-based infrastructure, application lifecycle management, scheduling frameworks, and production support processes
- Experience collaborating with Development, Infrastructure, and Operations teams to deliver complex technical initiatives and ensure production stability
- Ability to troubleshoot complex application, infrastructure, and operational issues while balancing risk, reliability, and business priorities
- Understanding of market data systems, feed processing environments, and high-availability production platforms is preferred
Top 3 Must Have Skills:
- Hands-on on Linux experience
- Hands-on on Python, Shell scripting, Perl scripting
- Integration experience (automation)
