Senior DevOps Engineer

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 - 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 What We Offer - Foundational Impact: The opportunity to help shape Exegy’s DevOps strategy, architecture, automation practices, and supporting toolset - Modern Technology: Work at the intersection of DevOps, software security, developer enablement, and AI-enabled automation - Professional Growth: Opportunities to expand your expertise through hands-on technical challenges, collaboration, and continued learning - Collaborative Culture: A supportive environment where DevOps partners directly with Engineering, Product, Security, and other technical teams to improve how software is built and delivered