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