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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Analyst, Cloud Computing Engineering - **Company:** The Scotts Miracle-Gro Company - **Location:** Marysville, OH, United States (Remote available) - **Experience:** Expert - **Salary:** $115,900.0 - $136,400.0 - **Contract:** Permanent contract - **Skills:** Active Directory, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Application Performance Management, Bash Shell, Server Message Block, Cloud Computing, Cloud Database, Cloud Engineering, Cloud Storage, Cyber Security, Cron, Linux, Github, Monitoring of Systems, Identity and Access Management, Interoperability, Linux System Administration, Linux Servers, Windows Servers, Oracle Databases, Oracle (Applications), Red Hat Enterprise Linux, Cloud Services, Ansible, Prometheus, Runbook, Datadog, Software Repository, Scripting, Google Cloud, Load Balancing, Cloud Platform System, Cloud Monitoring, Grafana, Software Troubleshooting, HybridCloud, Amazon Virtual Private Cloud (VPC), Kubernetes, Information Technology, Cloudwatch, Terraform - **Published:** October 15, 2026 - **Apply:** https://scottsmiraclegro.wd5.myworkdayjobs.com/SMGExternal/job/Marysville-OH/Senior-Analyst--Cloud-Computing-Engineering_R26657 ## About the Role * Associate's degree in Computer Science, Information Technology, or a related field, or equivalent experience (bachelor's preferred). * 4-7 years of infrastructure, systems administration, or cloud engineering experience. * Hands-on experience supporting production workloads in Google Cloud Platform. * Practical experience managing GCP IAM - roles, service accounts, groups, and organization policies. * Moderate or better Linux administration skills: patching, scripting and cron, security hardening, Active Directory integration (Centrify or similar), NFS/CIFS, and strong troubleshooting. * Moderate or better Windows Server administration skills. * Bash and/or Python scripting experience. * Experience deploying and supporting applications on Kubernetes with Helm. * Experience with at least one enterprise monitoring tool (e.g., Datadog, Cloud Monitoring, CloudWatch, Prometheus/Grafana). * Some experience supporting Oracle or another database platform. * Working knowledge of core AWS services (EC2, VPC, IAM, S3). * Clear communication skills and the ability to work with technical and non-technical partners. Preferred * Datadog experience. * Server automation with Ansible. * Infrastructure as code with Terraform. * Amazon EKS and Google Kubernetes Engine (GKE) experience. * GitHub or other code repositories, including CI/CD pipelines. * Oracle database experience. * Experience with hybrid cloud and on-premises connectivity. Desired Certifications * Google Associate Cloud Engineer or Professional Cloud Architect (strongly preferred) * Red Hat Certified System Administrator (RHCSA) or equivalent Linux certification * Certified Kubernetes Administrator (CKA) * GCP Cloud Digital Leader or AWS Cloud Practitioner ## Description You will bring strong Linux administration and solid Windows Server skills, along with scripting, Kubernetes/Helm, and monitoring experience. You will work closely with the Infrastructure team, application teams, and Information Security, and report to the Director, Infrastructure Operations & Services. In this role you will: * GCP Engineering & Operations: Build, configure, and support GCP infrastructure - Compute Engine, GKE, VPC networking, Cloud Storage, Cloud SQL, and load balancing - including changes, deployments, and break/fix work. * GCP Identity & Access Management: Administer GCP IAM across the organization, folder, and project levels - roles, custom roles, service accounts, groups, organization policies, and access reviews - using least-privilege principles. * Linux & Windows Administration: Patch and harden Linux servers, maintain scripts and cron jobs, manage users and passwords through Active Directory (Centrify), support NFS and CIFS/NFS interoperability, and lead in-depth Linux troubleshooting. Provide Windows Server administration support. * Containers & Automation: Deploy and support workloads on Kubernetes using Helm, automate server builds and configuration with Ansible and Terraform, and write Bash and Python scripts. * Monitoring & Troubleshooting: Configure and maintain monitoring and alerting, track infrastructure and application performance, and lead troubleshooting of performance issues. * Security & Compliance: Apply cloud and server security best practices and support audit and compliance requirements with Information Security. * Cost Analysis: Analyze cloud resource usage and costs and recommend savings. * Documentation & Collaboration: Maintain documentation and runbooks, and work with application teams, database administrators, and other Infrastructure teams on projects and incidents.