Summary
✨ AI‑Generated
A mid-level cloud engineering role on a growing platform services team. You will build and maintain CI/CD pipelines, provision cloud infrastructure with Infrastructure as Code, support deployment and security tooling, manage build artifacts, and contribute to monitoring and observability. The role offers structured guidance from experienced engineers and hands-on exposure to modern cloud platforms.
Highlights
Mentorship-rich engineering environment with opportunities to build and operate cloud infrastructure, improve delivery automation, strengthen observability, and work across modern platform engineering practices.
Description
Description
The Platform Engineer (Mid-Level) is an engineering role on the newly established DFS Platform Services team.
This role contributes directly to building, operating, and maintaining the internal platform that enables development and operations teams to ship software faster and more reliably.
The candidate will work under the guidance of the Lead and Senior Platform Engineers in a structured, mentorship-rich environment.
Duties
Build and maintain CI/CD pipelines supporting development team delivery workflowsAuthor and maintain Terraform code for GCP infrastructure provisioning following established standards and patternsSupport and maintain existing Salesforce/GearSet deployment pipelines, including troubleshooting and documentationMaintain the SonarQube and GitHub integration for static code analysis and security scanningManage build artifacts using GCP Artifact RegistrySupport the observability stack including Splunk log forwarding, monitoring, and alertingSupport GKE cluster operations including workload deployments and namespace managementManage GCP resources including compute, networking, IAM, and secrets management across dev, test, and production environmentsMigrate manually provisioned GCP resources into TerraformParticipate in Agile ceremonies and sprint delivery
Mandatory Requirements
Experience (12+ Years)Applies engineering disciplines to cloud computing and brings a systematic approach to concerns of commercialization, standardization, and governance of cloud computing applications.
Leverages the methods and tools of engineering in conceiving, developing, operating and maintaining cloud computing systems and solutions.
Uses the economics of cloud resources to solve business problems.
Requirements
This is an 100% Onsite.60 months of experience in cloud infrastructure, DevOps, or systems administration, including at least 2 years in a public cloud environment (GCP preferred; AWS or Azure considered).36 months of experience with GCP, including Compute Engine, Cloud Storage, VPC networking, IAM, and Secret Manager.36 months of experience with Terraform, including reading, writing, and modifying infrastructure code within established patterns.36 months of experience building and maintaining CI/CD pipelines using Cloud Build, GitHub Actions, or equivalent.36 monthsof experience with GitHub and Git workflows, including pull requests and branch management.24 months of experience in an Agile delivery environment, including sprint ceremonies and iterative delivery.12 months of experience with Splunk for log analysis and observability.12 months of experience with static code analysis tools such as SonarQube within a CI/CD pipeline.Bachelor's DegreeGoogle Cloud Associate Cloud Engineer or Terraform Associate (HashiCorp)R sum Copy of Candidate Identification (i.e., Driver's License/Green Card/Visa and Passport if applicable)Any documents referenced in the above Requested Qualifications (i.e., professional certifications, degrees, etc.)
