Trispark

9 jobs near Columbus, OH

Software Developer - C# - Salary: 100K Gross MAX Location : Irving, TX Duration: Permanent Job Description: Proficiency in C#: 8+ years' experience in Advanced-level knowledge of C# (.Net Core). • ...

New

Client: (Confidential) Aerospace / Aviation / Defense Clearence Required: Active Secret clearance EMSS is seeking experienced software engineers to support multiple software product deliveries ...

New

Kubernetes/Google Cloud Platform Engineer (Only W2)

Trispark Inc

Scottsdale, AZ • On-site

$56.50 - $75.50/hr

Other

Posted 4 days ago


Job description

Kubernetes/Google Cloud Platform Engineer

Duration: 12 Months (Contract to perm)
Pay Rate: 50/HR
Work Mode: Hybrid
Interview Type:  Not Mentioned 

Ropes Test: Yes
Location: 

Scottsdale, Arizona 85260

Position Overview

We are seeking a Kubernetes / Google Cloud Platform Engineer with deep hands-on expertise in Google Cloud Platform, infrastructure automation, and modern observability stacks. In this role, you will build and maintain resilient cloud infrastructure, drive CI/CD and IaC best practices, support production systems through effective incident triage, and help integrate AI/ML concepts and AIOps into operational workflows.

Required Qualifications
  • Cloud & Platform Engineering: Strong experience with Google Cloud Platform (Google Cloud Platform) and Google Kubernetes Engine (GKE).
  • Infrastructure as Code & CI/CD: Strong experience in IaC using Terraform, Helm chart management, and CI/CD automation with GitHub Actions.
  • Programming & Scripting: Proficiency in Python, Ansible, and Node.js for automation, integration, and tooling.
  • Observability & Monitoring: Strong experience with the Prometheus and Grafana observability stack.
  • Core Systems & Networking: Solid understanding of Linux systems administration and networking fundamentals.
  • Operations & Incident Response: Proven experience in incident management, on-call support, production triage, and hands-on automation for CI/CD pipelines.
  • AIOps & AI Concepts: Strong understanding of AI/ML concepts and AIOps practices, including model lifecycle, AI/ML monitoring, or AI-driven alerting.
Preferred Qualifications
  • Certifications: Google Cloud Certified Professional Cloud Architect and/or Certified Kubernetes Administrator (CKA).
  • Software Engineering: Experience in Java/J2EE and Spring Boot applications.
  • MLOps & AI Infrastructure: Experience supporting or operating ML/AI platforms, pipelines (MLOps), GPU-based workloads, or ML infrastructure on Google Cloud Platform.
  • ML Platforms & Frameworks: Knowledge of Kubeflow, Vertex AI, or cloud-native ML pipelines.
  • Advanced AIOps & Automation: Exposure to AIOps tools, anomaly detection, predictive analytics systems, and integrating AI-driven automation directly into monitoring and incident response.
  • Distributed Systems: Experience working with large-scale distributed systems and microservices architecture.