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

• Platform Operations: Manage scale and optimize production-grade Kubernetes (k8s) clusters across multi-cloud or hybrid environments.

• GitOps & Deployment: Design and maintain automated application delivery pipelines using ArgoCD to ensure declarative environment states.

• Infrastructure as Code (IaC): Provision and manage cloud infrastructure using tools like Terraform OpenTofu or Pulumi.

• Observability: Implement and maintain robust monitoring logging and alerting systems using Prometheus Grafana and ELK/OpenSearch stacks.

• Reliability Engineering: Participate in on-call rotations conduct blameless post-mortems and minimize operational toil through automation.

• Developer Experience: Collaborate with software engineering teams to streamline onboarding and reduce friction in the software development lifecycle.

• AI and agentic workflows: Design plan and deploy changes to existing systems driving operational excellence and introducingnew solutions including.

• 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.

• 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

• Kubernetes Expertise: 2 years of hands-on experience managing Kubernetes workloads ingress controllers storage and networking.

• GitOps Practice: Proven experience implementing GitOps workflows specifically configuring and troubleshooting ArgoCD at scale.

• CI/CD Pipelines: Strong familiarity with continuous integration tools like GitHub Actions GitLab CI or Jenkins.

• Automation & Scripting: Proficiency in programming languages like Go or Python alongside strong Bash scripting skills.

• Linux Fundamentals: Deep understanding of Linux internals container runtimes (Docker containerd) and core networking concepts (DNS TCP/IP).

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

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

Nice to Have

• Experience building Internal Developer Platforms (IDPs) using tools like Backstage.

• Familiarity with service meshes such as Istio or Linkerd.

• Certification in Kubernetes Administration (CKA) or Security (CKS).

• 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.