Senior DevOps Engineer

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.

We are looking for an experienced, forward-thinking Senior DevOps Engineer to join our newly formed DevOps team within our Market Data Engineering organization. In this role, you will be a critical resource working with Engineering and Product teams to re-design, build, automate, and scale our developer enablement ecosystem.

You will partner with multiple agile development teams building complex, high performance computing solutions, championing a modern, security-focused DevOps culture. Beyond traditional CI/CD, you will explore and implement AI-enabled automation using LLMs like Claude or Gemini to optimize pipelines, build developer self-service tooling, and accelerate software delivery.

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• 5+ years of experience in DevOps or Platform Engineering, ideally supporting multiple agile software development teams

• Strong experience designing and maintaining CI/CD pipelines using Git, GitLab CI/CD, and Jenkins, including pipeline-as-code and shared libraries

• Strong proficiency in Python for software development, systems automation, internal tooling, or integration development

• Hands-on experience administering Linux environments and working with virtual machines and Docker-based containerized applications

• Practical experience managing binary repositories, dependencies, and artifact lifecycles using JFrog Artifactory or a comparable platform

• Proven experience deploying and managing workloads in AWS, including EC2, S3, VPC, IAM, security groups, and related networking concepts

• Practical understanding of secure software development lifecycle principles, vulnerability management, container security, and secrets management

• Demonstrated success collaborating with agile software development teams using Scrum, Kanban, or similar methodologies

• Experience identifying operational inefficiencies and translating them into scalable automation, tooling, or platform improvements

• Experience using large language models for code generation, log analysis, pipeline triage, developer support, or workflow automation

• Experience building, integrating, or consuming Model Context Protocol services, AI agents, or similar AI-enabled development tools

• Experience supporting high-performance, low-latency, financial technology, or other technically complex software environments

• Familiarity with infrastructure-as-code tools and container orchestration platforms

• Relevant AWS, DevOps, security, or cloud certification