Sr. Specialist - Platform Operations (AI & Agentic Systems)

Nasdaq•Philadelphia, PA

1d•Hybrid

About The Position

As a Sr. Specialist - Platform Operations, you will play a critical role in keeping Nasdaq's platforms, including emerging AI and agentic AI systems, running reliably and efficiently. You will support global markets and clients through strong technical operations, incident management, and continuous improvement, while helping operationalize the next generation of intelligent, automated services. This role is ideal for a self-starter who enjoys solving complex operational challenges, works well across teams, and brings a passion for technology, AI, and automation to a fast-paced, high-impact environment.

Requirements

Bachelor's degree in Computer Science, Information Systems, or a related field.
2–3 years of experience in technical operations, system administration, application support, or related areas.
Hands-on experience with cloud infrastructure and services, with strong expertise in AWS architecture.
Proficiency in Linux/Unix environments and Kubernetes (k8s).
Experience with infrastructure-as-code, scripting, and automation tools, as well as CI/CD pipeline design, version control, and GitOps practices.
Familiarity with AI concepts and tooling (e.g., model integration, agentic frameworks, or AI-driven automation) and a strong interest in operationalizing AI systems.
Applicants must be authorized to work in the U.S. or Canada, without the need for employment-based visa sponsorship now or in the future; Nasdaq will not sponsor applicants for U.S. work visa status for this opportunity.

Nice To Haves

AWS certification(s).
Experience with Kubernetes-based environments in cloud or hybrid settings.
Experience with ArgoCD.
Background in DevOps practices within a regulated or financial services environment.
Experience deploying or operating AI/agentic applications (e.g., model serving, MLOps, monitoring, or agent orchestration frameworks).
Familiarity with AI observability, evaluation, and cost/performance optimization for production AI workloads.

Responsibilities

Manage day-to-day technical operations and application support, including AI-powered and agentic AI applications, while ensuring service continuity for internal and external customers.
Design, plan, and deploy changes to existing systems, driving operational excellence and introducing new solutions, including AI and agentic workflows.
Lead and contribute to implementation projects, from requirements through to launch and ongoing improvement, with a focus on deploying, scaling, and monitoring AI and agentic services.
Monitor, troubleshoot, and resolve incidents across traditional and AI-driven systems, while maintaining clear and accurate operational documentation and procedures.
Identify and implement automation and process improvements, leveraging AI and agentic tooling to enhance how systems are tested, deployed, and maintained.
Support the operational reliability, observability, and responsible/governed use of AI models and agents, including performance, cost, and safety monitoring.