Senior DevOps Engineer

exegy; United States; On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Foundational Impact

Modern Technology

Professional Growth

Collaborative Culture

Job summary

Exegy, a global leader in intelligent market data, is seeking a Senior DevOps Engineer to re-design, build, automate, and scale our developer enablement ecosystem within Market Data Engineering. You will lead CI/CD pipelines, enable AI-driven automation, and reinforce secure SDLC across AWS-based infrastructure.

You will collaborate with multiple agile teams to drive resilient, high-performance workflows, deploying with Git, GitLab CI/CD, Jenkins, and Artifactory while applying DevSecOps best

Qualifications

• 5+ years in DevOps or Platform Engineering supporting multiple agile software teams.
• Strong experience designing and maintaining CI/CD pipelines with Git, GitLab CI/CD and Jenkins.
• Proficiency in Python for automation and tooling.
• Hands-on Linux administration and Docker-based containerized apps.
• Experience with binary repositories, dependencies, and artifact lifecycles (Artifactory).
• Proven AWS deployment experience (EC2, S3, VPC, IAM) and networking concepts.
• Understanding secure SDLC, vulnerability management and secrets handling.
• Experience collaborating with agile teams using Scrum or Kanban.

Responsibilities

• Design, build, and optimize robust CI/CD pipelines across multiple teams.
• Develop AI-enabled automation and developer tooling integrating with MCP.
• Design and manage software supply chain workflows and security scanning.
• Implement shift-left security within delivery pipelines.
• Create reliable automation scripts and integrations using Python.
• Manage Linux environments and containerized platforms (Docker).
• Provision and scale AWS infrastructure (EC2, S3, VPC, IAM).
• Collaborate with Engineering, Product, and Security to remove bottlenecks.

Skills

CI/CD pipelines

Python

Linux administration

Pipeline-as-code

Agile/Scrum/Kanban

Automation

Education

Bachelor's degree or equivalent in Computer Science/Engineering

Tools

Git/GitLab CI/CD

Jenkins

JFrog Artifactory

Docker

AWS (EC2, S3, VPC, IAM)

Job description

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 softw