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

Nasdaq; Philadelphia (Philadelphia County); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

401(k) with employer match

Employee stock purchase program

Comprehensive health/dental/vision

Job summary

Nasdaq seeks a Sr. Specialist - Platform Operations to keep our production platforms and AI/agentic systems running reliably across multi-cloud deployments.

You will manage Kubernetes clusters, implement GitOps with ArgoCD, and build IaC pipelines to automate infrastructure and deployments. In this hybrid role located in Toronto or Philadelphia, you will collaborate with engineering teams, lead on-call rotations, drive observability, and advance AI operational practices, governance, and cost

Qualifications

• 2+ years of hands-on Kubernetes experience (workloads, ingress, storage, networking)
• Experience implementing GitOps workflows and ArgoCD at scale
• Strong CI/CD experience with GitHub Actions, GitLab CI, or Jenkins
• Proficiency in Go or Python and Bash scripting
• Deep Linux internals, container runtimes, and core networking concepts
• Hands-on cloud experience with AWS architecture
• Familiarity with AI concepts and tooling and operating AI systems

Responsibilities

• Platform Operations: manage, scale, and optimize production Kubernetes clusters across multi-cloud/hybrid environments
• GitOps & Deployment: design and maintain automated delivery pipelines using ArgoCD
• Infrastructure as Code: provision/manage cloud infra with Terraform/OpenTofu/Pulumi
• Observability: implement monitoring/logging/alerting with Prometheus, Grafana, ELK/OpenSearch
• Reliability Engineering: participate in on-call rotations and blameless post-mortems
• Developer Experience: collaborate with engineering teams to simplify onboarding and reduce friction
• AI and agentic workflows: design/deploy changes to existing systems and deploy AI/agentic services
• Lead projects from requirements to launch and ongoing improvement, focusing on scale and monitoring of AI/agentic services
• Automation & process improvements leveraging AI/agentic tooling
• AI governance: monitor performance, cost, and safety of AI models and agents

Skills

Kubernetes Expertise

GitOps Practice

CI/CD Pipelines

Automation & Scripting

Linux Fundamentals

AWS

AI concepts and tooling

Tools

Kubernetes (k8s) clusters

ArgoCD

Terraform/OpenTofu/Pulumi

Prometheus

Grafana

ELK/OpenSearch

Docker/containerd

Istio/Linkerd

Backstage

Job description

The Role

As a Sr. Specialist - Platform Operations you’llplay a critical role in keeping Nasdaq’s platforms - including our emerging AI 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 automation to 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 on deploying, scaling, and monitoring AI and agentic services.
• Identifyand implement automation and process improvements, leveragingAI and agentic tooling to enhance how systems are tested, deployed, andmaintained.
• Support the operational reliability, observability, and responsible/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.
• 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 forproductionAI 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.

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.

What We Offer

We’re proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq’s overall success.

Nasdaq’s programs and rewards are intended to allow our employees to:

• Secure Wealth: 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
• Prioritize Health: Comprehensive medical, dental and vision coverage, Health spending account with employer contribution, Paid flex days to support mental wellbeing, Gym membership discounts
• Care for Family : Hybrid home/office schedule (for most positions), Paid parental leave, Fertility benefits, Paid bereavement leave
• Connect with Community: Company gift matching program, Employee resource groups, Paid volunteer days
• Grow Career: Education Assistance Program, Robust job skills training and Professional development opportunities

For more information, visit Nasdaq Benefits & Rewards Career page .