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Open nowPosted 38 hours ago

Senior DevOps Engineer

Exegy5 open roles

Where
St. Louis
Work mode
Hybrid
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Your applicationOpen nowSenior DevOps EngineerExegy · St. Louis
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The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market. Exegy postings stay open a median of 47 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted 38 hours ago

Exegy median: 47 days open

The posting

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

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