Sr. Specialist Platform Operations (AI & Agentic Systems)

The Role

As a Sr. Specialist - Platform Operationsyoullplay a critical role in keeping Nasdaqs platforms - including our emergingAI and agentic AI systems- running reliably and efficiently.Youllsupport global markets and clients through strong technical operations incident management and continuous improvement while helping operationalize the next generation of intelligent automated services.

Youllthrive in this role ifyourea self-starter who enjoys solving complex operational challenges works well across teams and brings a passion for technologyAI and automationto a fast-paced high-impact environment.

Key Responsibilities

• Manage day-to-day technical operations and application supportincludingAI-powered and agentic AI applicationswhileensuring 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 improvementsleveragingAI 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

• Bachelors degree in Computer Science Information Systems ora relatedfield.

• 23 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 servingMLOps monitoring or agent orchestration frameworks).

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

This position willbe located in Toronto 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.