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About the Role
As a Lead DevOps Engineer, you will play a critical role in building and operating intelligent automation platforms, AI agents, and orchestration frameworks that support mission-critical systems, engineering workflows, and operational tooling across Nasdaq. You will thrive in this position if you are highly technical, curious, collaborative, and excited about evolving beyond traditional infrastructure automation into agentic systems, autonomous workflows, and AI-assisted operations. You will join a fast-paced, project-oriented team focused on reliability at scale while helping shape the future of AI-driven operations.
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.
Requirements
- 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.
- Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future.
Skills
- Python
- Automation
- Orchestration frameworks
- CI/CD pipelines
- Git
- REST APIs
- YAML
- JSON
- AI agents
- Autonomous systems
- AI-driven automation
- LLMs
- Prompt engineering
- Tool-calling frameworks
- AI decision logic
- Deterministic automation
- Event-driven systems
- Workflow-based systems
- Terraform
- Infrastructure-as-code
- Ansible
- Configuration management
- AWS cloud technologies
- JavaScript
- Databases
- Modern application development
Location
- New York City
- Philadelphia
- Atlanta
- Denver
Work Type
- Hybrid
Experience Level
- Lead
Education Level
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
Salary/Compensations
- $139,000 - $243,000
Benefits
- Generous annual bonus/commission (short-term incentive)
- Equity (long-term incentive)
- 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
- Comprehensive medical, dental and vision coverage
- Health spending account with employer contribution
- Paid flex days to support mental wellbeing
- Gym membership discounts
- Hybrid home/office schedule
- 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
About the Company
- Nasdaq is an equal opportunity employer.
- We are committed to fostering an inclusive workplace where diverse perspectives, experiences, and identities are valued and celebrated.
- We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process.
Equal Opportunity
- Come as You Are
- Nasdaq is an equal opportunity employer.
- We welcome applications from candidates of all backgrounds and identities.
- We are committed to fostering an inclusive workplace where diverse perspectives, experiences, and identities are valued and celebrated.
- We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process.