Technical Program Manager SRE Kubernetes Cloud AI

IPolarity LLC

Whippany (NJ)

Hybrid

USD 130,000 - 170,000

Full time

8 days ago

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Benefits offered by this job

Flexible work options

Job summary

IPolarity LLC seeks an experienced Technical Program Manager to lead SRE, Kubernetes, cloud, and AI initiatives across large-scale systems. You will drive reliability, automation, and observability while coordinating cross-functional teams.

This role emphasizes platform resilience, incident management, canary deployments, and data-driven improvements with flexible work options.

Qualifications

Experience leading complex SRE, cloud, and platform reliability initiatives.
Strong knowledge of Kubernetes platforms and automation.
Proficiency in Python/Java/Node.js for automation.

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 for alert analysis, incident response, and automation.
Implement API/microservice reliability with Apigee/Apigee X, REST, GraphQL.
Drive high availability, disaster recovery, and multi-datacenter deployments.
Develop observability with Splunk, Datadog, Grafana, AppDynamics.
Advise on SRE best practices, incident management, and continuous improvement.
Collaborate with cross-functional teams to deliver measurable outcomes.

Skills

Kubernetes

GKE

SRE

Cloud Automation

Python

Java

Node.js

APIs & Microservices

Apigee

Datadog

Grafana

AppDynamics

GenAI / LLM / AIOps

Technical Program & Leadership

Tools

Kubernetes

GKE

Rancher RKE2

Apigee X

REST/GraphQL

Splunk

Datadog

Grafana

AppDynamics

Job description

Hiring: Technical Program Manager - SRE / Kubernetes / Cloud / AI

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.

Location: Hartford, CT Experience: 10-14 Years

Key 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 microservice 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

Ideal Candidate