Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Sr. Specialist - Platform Operations (AI & Agentic Systems) role.
Rezi rewrites your resume against Nasdaq's job description. Free.
Tailor your resume to this Sr. Specialist - Platform Operations (AI & Agentic Systems) role.
Rezi rewrites your resume against Nasdaq's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Sr. Specialist - Platform Operations (AI & Agentic Systems) posting at Nasdaq — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Sr. Specialist - Platform Operations (AI & Agentic Systems) posting at Nasdaq — free, in seconds.
About the Role
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.
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 workflows.
- 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.
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.
- 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.
Skills
- Kubernetes
- GitOps
- ArgoCD
- CI/CD
- GitHub Actions
- GitLab CI
- Jenkins
- Go
- Python
- Bash scripting
- Linux
- Docker
- containerd
- DNS
- TCP/IP
- AWS
- Terraform
- OpenTofu
- Pulumi
- Prometheus
- Grafana
- ELK stack
- OpenSearch
- AI concepts
- Agentic frameworks
- AI-driven automation
- Backstage
- Istio
- Linkerd
Location
- Toronto
- Philadelphia
Work Type
- Hybrid
Experience Level
- Sr. Specialist
- 2+ years of hands-on experience
Education Level
- Certification in Kubernetes Administration (CKA) or Security (CKS)
Salary/Compensations
- $91,000 - $129,000
Benefits
- Competitive rewards package
- Meaningful rewards
- Rewards that recognize unique needs of employees and their families
- Incentives for employee contribution to Nasdaq’s overall success
- Generous annual bonus/commission (short-term incentive)
- Equity (long-term incentive)
- Comprehensive benefits
- Opportunity for growth
About the Company
- This posting is for an existing vacancy within Nasdaq.
- Nasdaq is an equal opportunity employer.
- 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.
Equal Opportunity
- 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.