Salary
💰 $180,000 - $249,000 per year
Tech Stack
CloudDockerGoogle Cloud PlatformGrafanaKubernetesPostgresPrometheusTerraform
About the role
- Architect and implement highly available, automated cloud solutions in Google Cloud Platform (GCP)
- Champion infrastructure-as-code with Terraform; develop and maintain IaC templates, scripts, and automation tools
- Design, deploy, and manage containerized workloads with Kubernetes and Docker; automate Kubernetes infrastructure and configuration management using Argo CD and manage ArgoCD instances
- Manage, optimize and maintain CloudSQL Postgres Database
- Build and optimize CI/CD pipelines using GitLab to accelerate software delivery; evaluate and implement a secret manager to manage API keys and secrets
- Monitor and optimize cloud infrastructure performance and costs; implement cost-saving strategies and ensure efficient resource utilization
- Develop and refine deployment strategies for containerized applications and improve observability and alerting
- Provide technical leadership, mentoring, and serve as escalation point for critical issues; collaborate with engineering, security, and data teams to deliver end-to-end DevOps solutions
- Build reliable test environments for developers, scale and optimize Kubernetes infrastructure, integrate AI into developers’ workflow, and contribute to infrastructure and containers common vulnerabilities
Requirements
- Demonstrated success in working across organizational boundaries to drive complex tech initiatives
- Solid design and problem solving skills with demonstrated passion for engineering
- Strong cross-group collaboration and interpersonal communication skills working with engineering, security, data, IT and product teams
- Experience with Infrastructure As Code using Terraform
- Experience with logging and monitoring using Grafana & Prometheus, OTel, Google Cloud monitoring or equivalent solutions
- Strong hands-on experience with Google Cloud Platform (GCP)
- Strong hands-on experience with ArgoCD
- Demonstrated experience setting up build pipeline using GitLab
- Experience designing, deploying and managing containerized workloads with Kubernetes and Docker
- Experience managing, optimizing and maintaining CloudSQL Postgres Database
- Experience building and optimizing CI/CD pipelines and automating Kubernetes infrastructure and configuration management
- Experience monitoring and optimizing cloud costs and infrastructure performance
- Technical leadership and mentoring experience; serve as escalation point for critical issues
- Must be authorized to work for ANY employer in the U.S.; company is unable to sponsor or take over sponsorship of an employment Visa at this time