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

The Role

As a Sr. Specialist - Platform Operationsyou'llplay a critical role in keeping Nasdaq's platforms - including our emergingAI and agentic AI systems- running reliably and efficiently.You'llsupport global markets and clients through strong technical operations, incident management, and continuous improvement, while helping operationalize the next generation of intelligent, automated services.

You'llthrive in this role ifyou'rea self-starter who enjoys solving complex operational challenges, works well across teams, and brings a passion for technology,AI, and automationto a fast-paced, high-impact environment.

Key Responsibilities

• Manage day-to-day technical operations and application support,includingAI-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 introducingnew solutions, includingAI and agentic workflows.

• Lead and contribute to implementation projects, from requirements through to launch and ongoing improvement, with a focus ondeploying, scaling, and monitoring AI and agentic services.

• Monitor, troubleshoot, and resolve incidents across traditional andAI-driven systems, whilemaintainingclear andaccurateoperational documentation and procedures.

• Identifyand implement automation and process improvements,leveragingAI and agentic toolingto enhance how systems are tested, deployed, andmaintained.

• Support the operational reliability, observability, andresponsible/governed use of AI models and agents, including performance, cost, and safety monitoring.

Required Qualifications

• Bachelor's degree in Computer Science, Information Systems, ora relatedfield.

• 2–3 years of experience in technical operations, system administration, application support, orrelated areas.

• Hands-on experience with cloud infrastructure and services, with strongexpertisein AWS architecture.

• Proficiencyin Linux/Unix environments and Kubernetes (k8s).

• Experience with infrastructure-as-code, scripting, and automation tools, as well as CI/CD pipeline design, version control, andGitOpspractices.

• Familiarity withAI concepts and tooling(e.g., model integration, agentic frameworks, or AI-driven automation) and a strong interest in operationalizing AI systems.

Nice to Have

• AWS certification(s).

• Experience with Kubernetes-based environments in cloud or hybrid settings.

• Experience withArgoCD.

• Background in DevOps practices within a regulated or financial services environment.

• Experiencedeploying or operating AI/agentic applications(e.g., model serving,MLOps, monitoring, or agent orchestration frameworks).

• Familiarity withAI observability, evaluation, and cost/performance optimizationforproductionAI workloads.

This position willbe located inToronto or Philadelphia, and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.

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 (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

This posting is for an existing vacancy within Nasdaq.