Administrative Skills, Artificial Intelligence (AI), Bash Scripting, Cloud Architecture, Cloud Computing, Cloud Storage, Continuous Deployment/Delivery, Continuous Integration, DevOps, Engineering, GCP (Good Clinical Practices), GPU (Graphics Processing Unit), GitHub, Incident Response, Machine Tool, Multiplatform/Cross-Platform, Python Programming/Scripting Language, Reliability Engineering, Scripting (Scripting Languages), Software Engineering, Systems Administration/Management
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
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Glint Tech Solutions LLC