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# Cloud Engineer (Mid-Level Platform Engineer)

- **Company:** New York State Department of Financial Services
- **Location:** Albany, NY, United States
- **Experience:** Experienced
- **Contract:** Temporary contract
- **Skills:** Agile Methodology, Bash Shell, Cloud Computing, Cloud Engineering, Static Program Analysis, Continuous Integration, DevOps, Github, Identity and Access Management, Python (Programming Language), Salesforce.Com, SonarQube, Data Logging, Scripting, Google Cloud, Sysadmin, Delivery Pipeline, Build Server, Git, Git Flow, Kubernetes, Hashicorp, Terraform, Splunk, Software Version Control, Docker, Vulnerability Analysis
- **Published:** August 28, 2026
- **Apply:** https://www.dice.com/job-detail/f44adb1c-a293-4087-b182-8b7fc55dd1f2

## About the Role

* Cloud & Infrastructure: 60+ months in cloud infrastructure, DevOps, or sysadmin (min. 2 years in public cloud; Google Cloud Platform preferred).
 * Google Cloud Platform & Terraform: 36+ months experience using Google Cloud Platform core services and 36+ months reading/writing Terraform.
 * CI/CD & Git: 36+ months building CI/CD pipelines and using Git workflows.
 * Agile: 24+ months in an Agile delivery environment.
 * Observability & Code Analysis: 12+ months with Splunk and 12+ months with static code analysis tools (SonarQube).
 * Education & Certifications (Preferred): Bachelor's Degree, Google Cloud Associate Cloud Engineer, or HashiCorp Certified Terraform Associate

## Description

The Mid-Level Platform Engineer will work on the DFS Platform Services team under senior guidance to build, operate, and maintain internal infrastructure. The position focuses on automating infrastructure, managing CI/CD pipelines, and driving software delivery reliability.
Day-to-Day Responsibilities

 * Build and maintain CI/CD pipelines to support developer delivery workflows.
 * Author and maintain Terraform code for Google Cloud Platform infrastructure provisioning.
 * Support existing Salesforce/GearSet deployment pipelines (troubleshooting and documentation).
 * Maintain SonarQube and GitHub integration for security scanning and static code analysis.
 * Manage build artifacts in Google Cloud Platform Artifact Registry and handle compute, networking, IAM, and secret resources across environments.
 * Support observability, logging, and monitoring via Splunk.
 * Support Google Kubernetes Engine (GKE) cluster operations, workload deployments, and namespace management.
 * Migrate manually provisioned Google Cloud Platform resources into Terraform.
 * Participate in Agile ceremonies and sprint deliveries.

Technical Stack

 * Cloud & Containers: Google Cloud Platform (Compute Engine, GKE, Cloud Build, Artifact Registry, Secret Manager), Docker, Kubernetes
 * Infrastructure as Code & CI/CD: Terraform, GitHub Actions, GearSet (Salesforce), Cloud Build
 * Monitoring & Quality: Splunk, SonarQube
 * Scripting & Version Control: Python, Bash, Git/GitHub


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