Associate Site Reliability Engineer (SRE) at Exegy in St Louis, MO

About Exegy

Exegy is a global leader in intelligent market data, advanced trading systems, and future-proof technology. Exegy serves as a trusted partner to the complete ecosystem of the buy-side, sell-side, exchanges, and financial services technology firms around the globe. Headquartered in St. Louis with regional offices in North America, the UK/Europe and Asia Pacific, Exegy has the global footprint to deliver world-class support and managed services to its customer base of elite financial market participants.

Job Summary

Exegy is seeking an Associate Site Reliability Engineer (SRE) to support the reliability, performance, and day-to-day operations of our global infrastructure. This is a hands-on, entry-level role focused on user support, system operations, and building foundational skills in systems engineering, automation, and infrastructure.

You will work alongside senior engineers to maintain uptime, respond to incidents, and support production systems across on-prem data centers and hybrid cloud environments. This role is suited for someone early in their career who is motivated to learn and grow in a high-performance technical environment.

Responsibilities

Day-to-Day Operations & User Support

• Provision and deprovision users across Active Directory, Okta, and Exchange

• Manage access requests and permissions across on-prem and cloud systems

• Troubleshoot Tier 1/2 support issues across hardware, software, connectivity, and accounts

• Support device provisioning, configuration, and onboarding

• Maintain email distribution lists and shared mailboxes

• Provide general office and A/V technology support

Infrastructure Reliability & Operations

• Support uptime across compute, storage, virtualization, and network infrastructure

• Assist in managing production systems across data centers, colocation, and cloud environments

• Participate in a 24x7 on-call rotation with escalation support

• Assist in incident response, root cause analysis, and post-mortem documentation

Automation & AI

• Execute and maintain scripts (PowerShell, Bash, Python)

• Assist in automating operational tasks and workflows

• Support Infrastructure-as-Code (IaC) efforts under guidance of senior engineers

• Use AI tools to support troubleshooting, documentation, and operational efficiency

Monitoring, Observability & Performance

• Monitor systems and respond to alerts using observability tools

• Perform log analysis and update system health dashboards

• Assist in proactive performance checks across hardware and OS layers

Data Center & Systems Engineering

• Support physical and virtual infrastructure, including hardware lifecycle tasks

• Perform patching, upgrades, and routine maintenance

• Assist with backup operations and validation

• Participate in disaster recovery and business continuity testing

• Maintain secure system configurations aligned with standards

Collaboration & Documentation

• Partner with Infrastructure, Network, Security, and DevOps teams

• Create and maintain runbooks, SOPs, and documentation

• Support security controls, access management, and compliance activities

Our Ideal Candidate Has:

Core Competencies

• Strong problem-solving ability; able to break down unfamiliar issues and work toward solutions

• Clear written and verbal communication skills

• Ability to work in a team environment, including participation in an on-call rotation

• Demonstrated curiosity and initiative in learning new technologies

Technical Requirements

• Foundational knowledge of IT systems, including:

  • Networking (TCP/IP, DNS, DHCP)

  • Operating systems (Windows and/or Linux)

  • Identity and access management concepts

• Comfort working in a command line environment

• Exposure to scripting or automation (PowerShell, Bash, Python, or similar)

• Basic understanding of monitoring and alerting concepts

Preferred Qualifications

• Experience or interest in applying AI tools within IT or operations environments

• Exposure to Active Directory, Azure, AWS, or VMware

• Hands-on experience through personal projects, home labs, or self-directed learning

• Contributions to open-source projects, technical communities, or documentation