VP, IT Production & Cloud Operations

New-York-Life

New York (NY)

Hybrid

USD 148,000 - 211,000

Full time

14 days+
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Job summary

New York Life is seeking an IT Production Support Manager to lead production support for mission-critical investment applications across hybrid cloud environments, ensuring high availability and operational excellence.

You will drive incident, problem, change, and release management, mentor global L1/L2 teams, and partner with cloud engineering, infrastructure, and business units to improve observability and automation using AI-enabled tools.

Qualifications

  • 8–10+ years in production support for enterprise applications.
  • Experience leading distributed production support teams in hybrid cloud environments.
  • Strong track record in incident/problem/change/release management and automation.

Responsibilities

  • Lead production support for mission-critical investments apps across AWS and on-premises environments.
  • Own incident response, root cause analysis, and preventive actions to improve MTTD/MTTR and reliability.
  • Partner with Cloud Engineering, Infrastructure, and Business teams on modernization and best practices.
  • Drive automation, observability, and AI-assisted capabilities to reduce manual effort.
  • Oversee governance, vendor performance, security, DR, and business continuity while mentoring staff.

Skills

Incident management
AWS operations
Hybrid cloud
Observability
Python scripting
PowerShell
Bash scripting
Leadership
Communication
AI in ops

Education

Bachelor's degree in Computer Science / Information Technology / Engineering

Tools

New Relic
CloudWatch
PagerDuty
Sumo Logic
Terraform
CloudFormation

Job description

New York Life is seeking an IT Production Support Manager to lead production support for mission-critical investment applications across hybrid cloud environments, ensuring high availability and operational excellence.

You will drive incident, problem, change, and release management, mentor global L1/L2 teams, and partner with cloud engineering, infrastructure, and business units to improve observability and automation using AI-enabled tools.

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