Technical Program Manager SRE Kubernetes Cloud AI

IPolarityWhippany, NJ
Hybrid

About The Position

We are hiring an experienced Program Manager to lead complex technology initiatives focused on platform reliability, observability, automation, and application performance across large-scale systems. IPolarity LLC. is a Professional Services firm composed of highly trained professionals with a wide range of experience in various industries. We provide our clients in key industry verticals with focused expertise in IT Solution, Application Development, Application Maintenance, Testing services and Systems Integration. IPolarity LLC integrates expert industry knowledge, process and technology frameworks, strong partnerships, and a reliable work force to provide strategic solutions that generate sustainable results. We are able to leverage our expertise via a flexible delivery model, which includes onsite and offsite resources.

Requirements

  • Kubernetes & GKE
  • SRE & Cloud Automation
  • Python / Java / Node.js
  • Datadog / Splunk / Grafana / AppDynamics
  • Apigee & API/Microservices Reliability
  • High Availability & Disaster Recovery
  • GenAI / LLM / AIOps
  • Technical Program & Cross-Functional Leadership

Responsibilities

  • Lead complex SRE, cloud, Kubernetes, and platform reliability initiatives
  • Manage and improve Kubernetes platforms , including GKE and Rancher RKE2
  • Build automation and operational tools using Python, Java, and Node.js
  • Leverage Generative AI/LLMs such as Gemini, Llama, Mistral, and Qwen for alert analysis, incident response, and operational automation
  • Implement reliable API and microservices solutions using Apigee/Apigee X, REST APIs, GraphQL, traffic routing, canary deployments, and failover strategies
  • Drive high availability, active-active deployments, disaster recovery, and multi-datacenter Kubernetes environments
  • Develop and enhance observability using Splunk, Datadog, Grafana, and AppDynamics
  • Drive SRE best practices, incident management, reliability engineering, and continuous improvement
  • Collaborate with cross-functional engineering, operations, and business teams to deliver measurable outcomes
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