3416 Ai Platform Analyst jobs in New York,NY

$55.00 - $70.00/hr.

Medical, dental & vision

Critical Illness, Accident, and Hospital

401(k) Retirement Plan Pre-tax and Roth post-tax contributions available

Life Insurance (Voluntary Life & AD&D; for the employee and dependents)

Short and long-term disability

Health Spending Account (HSA)

Transportation benefits

Employee Assistance Program

Time Off/Leave (PTO, Vacation or Sick Leave)

Baccalaureate Degree in Business Administration, Information Technology, or Computer Science

Five years of progressively responsible experience in administration, office management, methods analysis, and systems analysis.

Experience in data processing and management information systems.

Five years of progressively responsible experience in the fields of administration, office management, methods analysis, systems analysis and documentation, forms designs and control, two of which shall have been in data processing and management information systems.

$156,100—$257,600 USD

This role may be eligible for incentive pay and/or equity.

Flexible time off

Wellness resources

Company-sponsored team events

Two days per week

This role requires candidates to be located in the NY/NJ area and willing to work from our NYC office two days per week.

5+ years' experience as a customer facing senior-level technical architect.

5+ years of Linux Administration and/or Linux development experience

An industry recognized administration-level or higher certification.

3+ years of Kubernetes Administration experience

A KCNA (Kubernetes and Cloud Native Associate) or above certification.

Certification-level fluency in OpenShift, Rancher, or other Kubernetes orchestration environment.

Certification-level fluency in Cloud IaaS environments such as VMware, AWS, Azure, Google Cloud Platform and OpenStack.

Certification-level fluency with DevOps concepts

Hands-on experience with associated tools, such as; Ansible, Terraform, Docker, and CI/CD pipeline applications.

Certification-level fluency in data engineering, big data, and database operations, delivery and operational services.

Demonstrable understanding of data platform technologies as they relate to highly available business applications on-prem, hybrid, and in the cloud

Demonstrable understanding of the enterprise application development lifecycle and container platforms' effect on it.

Ability to travel as needed regionally (up-to 60%)