Senior DevOps Engineer

Exegy • St Louis, MO

6d

About The Position

Exegy is seeking an experienced Senior DevOps Engineer to join its newly formed DevOps team within the Market Data Engineering organization. The role partners with Engineering and Product teams to redesign, build, automate, and scale the developer enablement ecosystem. The engineer will support multiple agile teams developing complex, high-performance computing solutions and promote a modern, security-focused DevOps culture.

The position extends beyond traditional CI/CD to explore and implement AI-enabled automation using models such as Claude or Gemini. This includes optimizing pipelines, building developer self-service tooling, and accelerating software delivery.

Exegy describes the opportunity as a chance to shape its DevOps strategy, architecture, automation practices, and supporting tools; work across DevOps, software security, developer enablement, and AI-enabled automation; grow through technical challenges and continued learning; and collaborate with Engineering, Product, Security, and other technical teams.

Requirements

• At least 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 AWS workloads, 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.

Nice To Haves

• 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.

Responsibilities

• Design, build, optimize, and maintain CI/CD pipelines across multiple agile development teams using Git, GitLab CI, and Jenkins.
• Research, design, and implement AI-enabled automated workflows, pipeline triaging, and developer tools using models such as Claude and Gemini integrated through Model Context Protocol (MCP).
• Design and manage software supply chain workflows with JFrog Artifactory, including secure dependency management, artifact caching, and license compliance.
• Integrate automated security scanning, including SAST/DAST, container scanning, and secret detection, into delivery pipelines and promote shift-left security practices.
• Develop clean, maintainable, reliable automation scripts and custom integrations using Python.
• Manage and optimize Linux operating environments across virtual machines and Docker-based container platforms.
• Provision, monitor, and scale AWS cloud infrastructure using services such as EC2, S3, VPCs, and IAM.
• Participate in agile team ceremonies, advise on deployment strategies, and remove operational bottlenecks.
• Help shape Exegy’s DevOps strategy, architecture, automation practices, and supporting toolset.

Benefits

• Opportunities to expand expertise through hands-on technical challenges, collaboration, and continued learning.
• Supportive collaborative environment with direct partnership across Engineering, Product, Security, and other technical teams.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed