Platform Reliability Engineer - AI, Kubernetes & GitOps

Nasdaq; Philadelphia (Philadelphia County); Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

401(k) with company match

Employee stock purchase program (ESPP)

Health, dental, vision coverage

Generous PTO and paid time off

Hybrid work schedule

Job summary

Nasdaq is seeking a Sr. Specialist - Platform Operations to ensure reliable, scalable operation of Nasdaq's platforms, including AI systems.

You will manage Kubernetes clusters, design automated delivery pipelines with ArgoCD, and drive IaC with Terraform/OpenTofu/Pulumi while improving observability and incident response. You will collaborate across teams for developer enablement, lead deployment and modernization projects, and apply AI-focused automation to reduce toil in a fast-paced

Qualifications

• 2+ years of hands-on experience managing Kubernetes workloads, ingress controllers, storage, and networking.
• Proven experience implementing GitOps workflows, specifically configuring and troubleshooting ArgoCD at scale.
• Strong familiarity with continuous integration tools like GitHub Actions, GitLab CI, or Jenkins.
• Proficiency in programming languages like Go or Python, alongside strong Bash scripting skills.
• Deep understanding of Linux internals, container runtimes (Docker, containerd), and core networking concepts (DNS, TCP/IP).
• Hands-on experience with cloud infrastructure and services, with strong expertise in AWS architecture.
• Familiarity with AI concepts and tooling and a strong interest in operationalizing AI systems.

Responsibilities

• Platform Operations: Manage, scale, and optimize production-grade Kubernetes 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 introducing new 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.
• 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.

Skills

Kubernetes

GitOps

CI/CD

Automation & Scripting

Linux fundamentals

AWS

AI concepts

Tools

Go

Python

Job description

Nasdaq is seeking a Sr. Specialist - Platform Operations to ensure reliable, scalable operation of Nasdaq's platforms, including AI systems.

You will manage Kubernetes clusters, design automated delivery pipelines with ArgoCD, and drive IaC with Terraform/OpenTofu/Pulumi while improving observability and incident response. You will collaborate across teams for developer enablement, lead deployment and modernization projects, and apply AI-focused automation to reduce toil in a fast-paced