The Role
Designs, deploys, and manages scalable Google Cloud infrastructure, Kubernetes workloads, serverless applications, and CI/CD pipelines. The role uses Terraform, Azure DevOps, Docker, Helm, and scripting to automate infrastructure, deployments, scaling, monitoring, cost optimization, and zero-downtime releases. Responsibilities also include configuring GCP storage, databases, load balancers, networking, security, compliance checks, and DevSecOps workflows.
Summary Generated by Built In
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
We are looking for a GCP Cloud Engineer to design, implement, and manage scalable cloud infrastructure and CI/CD solutions on Google Cloud Platform.
MUST HAVES
- 4+ years in Cloud Engineering, with a focus on GCP.
- Strong knowledge of GCP services (GKE, Compute Engine, IAM, VPC, Cloud Storage, Cloud SQL, Cloud Functions).
- Experience with GKE, Docker, GKE Networking, and Helm.
- Hands-on experience with Azure DevOps for CI/CD pipeline automation.
- Expertise in Terraform for provisioning cloud resources.
- Proficiency in Python, Bash, or PowerShell for automation.
- Knowledge of cloud security principles, IAM, and compliance standards.
- Upper-intermediate English level.
WHAT YOU WILL DO
- Architect, deploy, and maintain GCP cloud resources via terraform/other automation.
- Implement Google Cloud Storage, Cloud SQL, filestore for data storage and processing needs.
- Manage and configure Cloud Load Balancers (HTTP(S), TCP/UDP, and SSL Proxy) for high availability and scalability.
- Optimize resource allocation, monitoring, and cost efficiency across GCP environments.
- Deploy, manage, and optimize workloads on Google Kubernetes Engine (GKE).
- Work with Helm charts for microservices deployments.
- Automate scaling, rolling updates, and zero-downtime deployments.
- Deploy and manage applications on Cloud Run and Cloud Functions for scalable, serverless workloads.
- Optimize containerized applications running on Cloud Run for cost efficiency and performance.
- Design, implement, and manage CI/CD pipelines using Azure DevOps.
- Automate infrastructure deployment using Terraform, Bash and Powershell scripting.
- Integrate security and compliance checks into the DevOps workflow (DevSecOps).
PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.
Meet Our Recruitment Process
Application → Coding Challenge → Video Interview → Technical Interview or Hiring Manager Interview
Each step helps us understand your skills and overall fit.
If it’s a match, you’ll receive an offer.
Skills Required
- 4+ years of cloud engineering experience focused on GCP
- Strong knowledge of GCP services including GKE, Compute Engine, IAM, VPC, Cloud Storage, Cloud SQL, and Cloud Functions
- Experience with GKE, Docker, GKE networking, and Helm
- Hands-on experience with Azure DevOps for CI/CD pipeline automation
- Expertise with Terraform for provisioning cloud resources
- Proficiency with Python, Bash, or PowerShell for automation
- Knowledge of cloud security principles, IAM, and compliance standards
- Upper-intermediate English proficiency
Am I A Good Fit?
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The Company
What We Do
AgileEngine is a privately held company established in 2010 that builds dedicated teams of designers and developers. We turn good ideas into awesome software that people actually want to use. Some of the biggest names and the hottest startups around the world chose us to build their tech.
