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

ADTM Adenza Technology de Mexico S de RL de CV•Philadelphia, PA

3d•Hybrid

About The Position

As a Sr. Specialist - Platform Operations, you will play a critical role in keeping Nasdaq's platforms, including emerging AI and agentic AI systems, running reliably and efficiently. You will support global markets and clients through strong technical operations, incident management, and continuous improvement, while helping operationalize the next generation of intelligent, automated services. This role is ideal for a 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.

Requirements

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

Nice To Haves

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 for production AI workloads.

Responsibilities

Manage, scale, and optimize production-grade Kubernetes (k8s) clusters across multi-cloud or hybrid environments.
Design and maintain automated application delivery pipelines using ArgoCD to ensure declarative environment states.
Provision and manage cloud infrastructure using tools like Terraform, OpenTofu, or Pulumi.
Implement and maintain robust monitoring, logging, and alerting systems using Prometheus, Grafana, and ELK/OpenSearch stacks.
Participate in on-call rotations, conduct blameless post-mortems, and minimize operational toil through automation.
Collaborate with software engineering teams to streamline onboarding and reduce friction in the software development lifecycle.
Design, plan, and deploy changes to existing systems, driving operational excellence and introducing new solutions, including AI and agentic systems.
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.