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Nasdaq

AI / DevOps Engineer – Agentic Systems, Automation

Nasdaq

Lead DevOps Engineer developing and operating AI agents and automation platforms at Nasdaq. Collaborating within a project-oriented team focused on reliability and scalability.

Posted 7/24/2026full-timeNew York City • New York, Pennsylvania • 🇺🇸 United StatesMid-LevelSenior💰 $139,000 - $243,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Python development, automation frameworks, and CI/CD pipeline design, with a strong focus on building AI agents and integrating systems. Capable of collaborating across teams while effectively communicating complex technical concepts.

Highest-signal resume keywords
Expert-Level Python DevelopmentCI/CD Pipeline DesignAI Agent DevelopmentREST API IntegrationAutomation Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonCI/CDYAMLJSONAI AgentsAutomationOrchestration FrameworksEvent-Driven SystemsAnalytical SkillsSystems Thinking
Soft Skills
Excellent CommunicationCollaborationIndependent Work
Tools & Technologies
GitTerraformAnsibleITSM SystemsObservability ToolsCI/CD PipelinesLarge Language ModelsPrompt Engineering
Industry Keywords
Financial ServicesFintechRegulated Industries

Tech Stack

Tools & technologies
AnsibleITSMJavaScriptPythonTerraform

About the role

Key responsibilities & impact
  • 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.

Requirements

What you’ll need
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
  • Expert-level Python development experience with strong knowledge of 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.
  • Strong analytical and systems-thinking skills.
  • Excellent written and verbal communication skills, with the ability to work independently in ambiguous environments and collaborate effectively across global teams.
  • Preferred Qualifications:Experience with Terraform, infrastructure-as-code practices, Ansible, or other configuration management tools.
  • Experience with JavaScript, databases, and modern application development technologies.
  • Experience working within financial services, fintech, or other regulated industries.

Benefits

Comp & perks
  • Comprehensive medical, dental and vision coverage
  • Health spending account with employer contribution
  • Paid flex days to support mental wellbeing
  • Gym membership discounts
  • 401(k) program with 6% employer match
  • Employee Stock Purchase Program with 15% discount
  • Student loan repayment program up to $10k
  • Company paid life and disability plans
  • Generous paid time off
  • Hybrid home/office schedule (for most positions)
  • Paid parental leave
  • Fertility benefits
  • Paid bereavement leave
  • Company gift matching program
  • Employee resource groups
  • Paid volunteer days
  • Education Assistance Program
  • Robust job skills training and Professional development opportunities