Skip to content
Skip to content
DevOps Jobs
G

DEVOPS ENGINEER

Glint Tech Solutions LLC

Location
Onsite (Bentonville, Arkansas)
Employment
Full-time
Level
Senior Level
Posted 3 weeks ago

About the Role

Glint Tech Solutions LLC is seeking an experienced DevOps Engineer to manage CI/CD pipelines and GCP infrastructure. This role involves administering GKE clusters and driving reliability engineering practices across the platform.

Skills

GCP Terraform Kubernetes GKE CI/CD GitHub Actions Python Bash MLOps Cloud Monitoring Grafana IAM ArgoCD Helm GitOps Infrastructure as Code

Full job details

DEVOPS ENGINEER

PROJECT DESCRIPTION

Seeking an experienced DevOps Engineer to own and maintain CI/CD pipelines across multiple engineering teams while managing GCP infrastructure using Terraform and infrastructure-as-code tooling. The role includes administering GKE clusters, supporting MLOps pipeline needs, and driving reliability engineering practices across the platform. MLOps experience is a strong nice-to-have.

KEY RESPONSIBILITIES

  • Own and maintain CI/CD pipelines (GitHub Actions, Cloud Build, or equivalent) across multiple engineering teams
  • Manage GCP infrastructure using Terraform and infrastructure-as-code tooling
  • Administer GKE clusters, containerized workloads, and Kubernetes infrastructure
  • Support MLOps pipeline needs including model deployment workflows and container registry management
  • Implement and maintain monitoring, alerting, and observability tooling (Cloud Monitoring, Grafana, etc.)
  • Drive reliability engineering practices — SLOs, incident response, and runbooks
  • Manage secrets, IAM policies, and platform security configurations

MANDATORY SKILLS

  • 4+ years of DevOps or platform engineering experience
  • Hands-on experience with GCP services — GKE, Cloud Build, Artifact Registry, Cloud Storage, IAM
  • Proficiency in Terraform or equivalent infrastructure-as-code tooling
  • Strong Kubernetes administration skills — deployment, scaling, networking, RBAC
  • Experience building and maintaining CI/CD pipelines
  • Solid scripting ability in Python, Bash, or similar

NICE-TO-HAVE SKILLS

  • Experience supporting ML/AI workloads (model serving infrastructure, GPU provisioning) — MLOps is a big plus
  • GCP Professional DevOps Engineer or Cloud Architect certification
  • Familiarity with ArgoCD, Helm, or GitOps workflows
  • Retail or high-transaction-volume system experience