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# DevOps Engineer

- **Company:** SB Technology, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $122,000.0 - $228,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Microsoft Azure, Bash Shell, Cloud Computing, DevOps, Github, Identity and Access Management, Python (Programming Language), Prometheus, AI Infrastructure, Circleci, Data Logging, Scripting, Google Cloud, System Availability, Delivery Pipeline, Grafana, Multi-Cloud, Amazon Virtual Private Cloud (VPC), Amazon Relational Database Service, Kubernetes, Information Technology, Terraform, Docker
- **Published:** October 23, 2026
- **Apply:** https://www.builtincolorado.com/auth/login?destination=/job/senior-devops-engineer/11821265

## About the Role

* Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
 * 3+ years of experience as a DevOps Engineer with deep expertise in cloud infrastructure across GCP (GKE, Compute Engine, VPC, IAM) and AWS (EKS/ECS, EC2, S3, RDS).
 * Expert proficiency in Terraform for automated provisioning, paired with strong scripting skills in Python or Bash.
 * Deep hands-on experience managing Kubernetes clusters, networking/storage, Git/GitHub workflows, and CircleCI automation pipelines.
 * Hands-on experience with observability tools (Prometheus, Grafana, Cloud Logging) and a track record of supporting cross-functional development teams.

Highly Desired Skills & Experience

 * Broad experience managing multi-cloud operations across GCP, AWS, and Microsoft Azure simultaneously.
 * Proven ability to manage regulated datasets and enforce enterprise-grade security and compliance standards.
 * Deep knowledge of container runtimes and Docker ecosystem optimizations.
 * Experience with high capacity AI infrastructure.

## Description

* Provision, maintain, and scale multi-cloud environments (GCP, AWS, Azure) using Infrastructure as Code (IaC) principles with Terraform.
 * Deploy and optimize production-grade Kubernetes clusters (GKE, EKS, AKS), configuring networking, ingress, service meshes, storage, and auto-scaling policies.
 * Serve as a trusted advisor to developers, troubleshooting complex container/cluster issues, resolving pod scheduling bottlenecks, and streamlining developer workflows.
 * Partner closely with DevOps, IT, and InfoSec teams to integrate security best practices, safeguard regulated data, and enhance overall system availability and compliance.
 * Implement end-to-end monitoring and logging (Prometheus, Grafana, Cloud Monitoring), manage release pipelines via CircleCI/GitHub, and participate in on-call rotations to maintain high availability.