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Senior DevOps EngineerLinuxconfig • Saint Louis, California, United States
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Senior DevOps Engineer

Linuxconfig
  • US
    Saint Louis, California, United States
  • US
    Saint Louis, California, United States
Jetzt Bewerben

Über

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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  • Saint Louis, California, United States

Sprachkenntnisse

  • English
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