Lead AI-Driven DevOps Engineer

Nasdaq; New York (NY); Hybrid; USD 139,000 - 243,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Nasdaq seeks a Lead DevOps Engineer to design, build, and operate AI-driven automation platforms and agentic workflows that support mission-critical systems across Nasdaq. You'll work on AI agents, orchestration frameworks, and automation pipelines in a fast-paced, collaborative environment.

Required skills include expert Python, CI/CD, REST APIs, YAML/JSON, and experience with AI agents and LLM tooling. Hybrid work in New York City or Philadelphia with global teams is offered.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
• Expert-level Python development experience with automation and orchestration frameworks.
• Experience designing and supporting CI/CD pipelines, working with Git, and integrating systems through REST APIs.
• Proficiency in YAML and JSON.
• Experience building AI agents, autonomous systems, or AI-driven automation solutions, with familiarity with LLMs, prompt engineering, and tool-calling frameworks.
• Experience combining AI decision logic with deterministic automation and designing event-driven, workflow-based systems.

Responsibilities

• Design, build, operate, and continuously improve AI agents that automate operational, engineering, and support workflows.
• Develop agent orchestration frameworks using large language models (LLMs), tool integrations, structured workflows, and workflow-based automation patterns.
• Build and maintain automation pipelines that combine AI reasoning and decision-making with deterministic systems, controls, and operational processes.
• Implement Python-based services supporting AI agent execution, control, and integration with internal platforms including APIs, ITSM systems, CI/CD pipelines, and observability tools.
• Design and evolve CI/CD pipelines for AI-enabled services and automation platforms.
• Serve as an escalation point for complex AI and automation issues while identifying opportunities to improve reliability and reduce manual effort through agentic automation.
• Document architectures and workflows, research emerging AI technologies, and develop proofs of concept to evaluate new capabilities.

Skills

Python development

CI/CD

REST APIs

YAML/JSON

AI agents/automation

Communication

Analytical thinking

Education

Bachelor's degree in CS/Engineering

Tools

Terraform

Ansible

Git

LLM tooling

JavaScript

Job description

Nasdaq seeks a Lead DevOps Engineer to design, build, and operate AI-driven automation platforms and agentic workflows that support mission-critical systems across Nasdaq. You'll work on AI agents, orchestration frameworks, and automation pipelines in a fast-paced, collaborative environment.

Required skills include expert Python, CI/CD, REST APIs, YAML/JSON, and experience with AI agents and LLM tooling. Hybrid work in New York City or Philadelphia with global teams is offered.