Senior AI-Enabled Platform / SRE Engineer

ZipStaff Inc.; Dallas (TX); Hybrid; USD 124,000 - 207,000; Full time

Job summary

ZipStaff Inc. seeks a Senior AI-Enabled Platform / SRE Engineer to advance platform reliability in a hybrid Dallas/Scottsdale setting. The role emphasizes automation, AI-driven operations, and cross-functional collaboration to support a major healthcare organization.

The ideal candidate has 5+ years in Kubernetes and SRE, with strong cloud and automation experience across GCP, Terraform, Helm, and CI/CD, plus hands-on observability and API/microservices reliability.

Qualifications

• The candidate has 5+ years of Kubernetes experience with GKE and Rancher RKE2 across multi-cluster setups.
• 5+ years in Python and Java; Node.js for integrations and automation is a plus.
• Strong SRE background with focus on reliability, SLO/SLI and incident response.
• Hands-on experience with GCP, Terraform, Helm, GitHub, CI/CD pipelines.
• Observability experience: Splunk, Grafana, Datadog, AppDynamics.
• Experience with API/microservices reliability (Apigee X, REST, GraphQL, traffic routing, canary, failover).
• Experience applying LLMs (Gemini, Llama, Mistral, Qwen) to operations and alerting.
• Hybrid work in Dallas, TX or Scottsdale, AZ; US work authorization required.

Responsibilities

• Build automation and tooling using Java, Python, and Node.js to improve efficiency and scale.
• Leverage Generative AI to automate alert analysis, incident triage, and runbooks.
• Implement API and microservices reliability with Apigee X, REST, GraphQL, traffic routing, and failover.
• Manage Kubernetes platforms across GKE and Rancher RKE2, including cluster admin and tuning.
• Support active-active deployments, DR readiness, and multi-datacenter environments.
• Develop observability using Splunk, Grafana, Datadog, and AppDynamics.
• Drive SRE best practices by partnering with cross-functional teams on reliability and security.

Skills

Kubernetes

GKE

Rancher RKE2

Python

Java

Node.js

GCP

Terraform

Helm

GitHub

CI/CD

Splunk

Grafana

Datadog

AppDynamics

Apigee

GraphQL

REST

LLMs

Tools

Apigee X

GitHub Actions

Job description

Job Title: Senior AI-Enabled Platform / SRE Engineer.
Location: Dallas, TX or Scottsdale, AZ (Hybrid).
Employment Type: Contract (W2 through ZipStaff).

About the Opportunity:

ZipStaff is seeking a Senior Kubernetes-focused SRE with strong cloud automation and software engineering skills to support a major healthcare organization.

This hybrid role (Dallas, TX or Scottsdale, AZ) focuses on platform reliability at scale and using AI/LLMs to automate operations. The initial assignment is approximately one year, with potential extension.

What You'll Do:

• Build automation and operational tools using Java, Python, and Node.js to improve efficiency, scalability, and platform operations.
• Leverage Generative AI (Gemini, Llama, Mistral, Qwen, etc.) to automate alert analysis, incident response, operational workflows, and runbook execution.
• Implement API and microservices reliability solutions using Apigee / Apigee X, REST APIs, GraphQL gateways, traffic routing, canary deployments, and failover strategies.
• Manage Kubernetes platforms across GKE and Rancher RKE2, including cluster administration, performance tuning, and troubleshooting.
• Support active-active deployments, disaster-recovery readiness, and multi-datacenter Kubernetes environments.
• Develop observability and monitoring using Splunk, Grafana, Datadog, and AppDynamics.
• Drive SRE best practices by partnering with cross-functional teams on reliability, security, incident management, and continuous improvement.

Required Qualifications:

• 5+ years of strong hands-on Kubernetes platform experience with GKE and Rancher RKE2, including multi-cluster management, troubleshooting, and performance optimization.
• 5+ years of advanced programming in Python and Java (Node.js preferred for integrations and automation).
• Strong SRE background: reliability, availability, incident management, SLO/SLI monitoring, and operational excellence.
• Strong experience in GCP, Terraform, Helm, GitHub, CI/CD, and production-grade automation.
• Hands-on observability experience with Splunk, Grafana, Datadog, and/or AppDynamics.
• Experience with API and microservices reliability (Apigee / Apigee X, REST, GraphQL, traffic routing, canary, failover).
• Experience applying LLMs (Gemini, Llama, Mistral, Qwen, or similar) to alert analysis, incident triage, automation, or operational workflows.
• Ability to work hybrid in Dallas, TX or Scottsdale, AZ.
• Must be legally authorized to work in the United States without sponsorship now or in the future.

Preferred Qualifications:

• Experience supporting highly available, multi-datacenter production platforms.
• Prior healthcare or regulated-enterprise SRE experience.
• Demonstrated AIOps / GenAI-for-operations implementations in production.

About ZipStaff:

ZipStaff partners with leading organizations to connect skilled technology professionals with high-impact contract opportunities. We focus on quality matches and long-term success.