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.

About the Role

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.

Key Responsibilities

CI/CD & Pipeline Engineering: Design, build, optimize, and maintain robust, high-performing CI/CD pipelines across multiple agile development teams using Git, GitLab CI, and Jenkins

AI-Driven Automation: Research, design, and implement automated workflows, pipeline triaging, and developer tooling using AI models (such as Claude and Gemini) integrated via Model Context Protocol (MCP)

Software Supply Chain Security: Design and manage software supply chain workflows using JFrog Artifactory, ensuring secure dependency management, artifact caching, and license compliance

DevSecOps & Secure SDLC: Integrate automated security scanning (SAST/DAST, container scanning, secret detection) directly into delivery pipelines, driving a "shift-left" security culture

Automation & Tooling: Develop clean, maintainable, and reliable automation scripts and custom integrations using Python

Infrastructure & Platform Management: Manage and optimize Linux operating environments across both traditional virtual machines (VMs) and modern containerized platforms using Docker

Cloud Infrastructure: Provision, monitor, and scale cloud infrastructure on AWS, utilizing core services such as EC2, S3, VPCs, and IAM

Agile Collaboration: Serve as a DevOps champion within agile sprint teams, participating in ceremonies, advising on deployment strategies, and removing operational bottlenecks

Required Skills & Experience

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

Preferred Skills & Experience

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