3 days ago
Responsibilities
- Design, build, optimize, and maintain CI/CD pipelines using Git, GitLab CI/CD, and Jenkins.
- Develop AI-enabled workflows for pipeline triage, developer tooling, and automation using Claude, Gemini, and Model Context Protocol.
- Manage software supply chain workflows, dependencies, artifact caching, and license compliance using JFrog Artifactory.
- Integrate SAST, DAST, container scanning, and secret detection into delivery pipelines.
- Develop automation scripts and custom integrations in Python.
- Manage Linux environments, virtual machines, Docker-based applications, and AWS infrastructure including EC2, S3, VPCs, and IAM.
- Collaborate with agile development teams on deployment strategies, operational improvements, and platform tooling.
Requirements
- At least 5 years of experience in DevOps or Platform Engineering.
- Strong experience designing and maintaining Git, GitLab CI/CD, and Jenkins pipelines, including pipeline-as-code and shared libraries.
- Strong Python proficiency for software development, systems automation, internal tooling, or integrations.
- Hands-on Linux administration, virtual machine, and Docker experience.
- Experience managing binary repositories, dependencies, and artifact lifecycles with JFrog Artifactory or a comparable platform.
- Experience deploying and managing AWS workloads, including EC2, S3, VPC, IAM, security groups, and networking concepts.
- Understanding of secure software development lifecycle principles, vulnerability management, container security, and secrets management.
- Experience collaborating with software development teams using agile methodologies.
- Experience translating operational inefficiencies into scalable automation, tooling, or platform improvements.
- Preferred qualifications include experience with LLMs, Model Context Protocol services, AI agents, complex or low-latency software environments, infrastructure-as-code, container orchestration, and relevant AWS, DevOps, security, or cloud certifications.
Benefits
- Opportunity to shape Exegy's DevOps strategy, architecture, automation practices, and supporting tools.
- Hands-on work spanning DevOps, software security, developer enablement, and AI-enabled automation.
- Professional growth through technical challenges, collaboration, and continued learning.
- Collaborative environment partnering with Engineering, Product, Security, and other technical teams.
About Exegy
Exegy provides low-latency market data and trading infrastructure for banks, hedge funds, proprietary trading firms, market makers, and exchanges. Its portfolio spans direct and normalized feeds, FPGA-accelerated appliances, feed handlers, and managed/hosted services, sold as software, hardware, and subscriptions. Founded in 2003 and headquartered in St. Louis, the company is privately held and backed by Marlin Equity Partners, with offices across North America, Europe, and APAC.