Senior DevOps Engineer
About The Position
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.
Requirements
- 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
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 robust, high-performing CI/CD pipelines across multiple agile development teams using Git, GitLab CI, and Jenkins
- 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)
- Design and manage software supply chain workflows using JFrog Artifactory, ensuring secure dependency management, artifact caching, and license compliance
- Integrate automated security scanning (SAST/DAST, container scanning, secret detection) directly into delivery pipelines, driving a "shift-left" security culture
- Develop clean, maintainable, and reliable automation scripts and custom integrations using Python
- Manage and optimize Linux operating environments across both traditional virtual machines (VMs) and modern containerized platforms using Docker
- Provision, monitor, and scale cloud infrastructure on AWS, utilizing core services such as EC2, S3, VPCs, and IAM
- Serve as a DevOps champion within agile sprint teams, participating in ceremonies, advising on deployment strategies, and removing operational bottlenecks
Benefits
- Opportunities to expand your expertise through hands-on technical challenges, collaboration, and continued learning
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
