DevOps Engineer
Hi there! 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 architect and manage cloud infrastructure using GKE, Cloud Run, and Terraform. This person leads a dedicated AWS-to-GCP migration workstream, assessing source workloads, defining target architectures, and driving production cutover. Strong CI/CD experience with Azure DevOps and scripting in Python, Bash, or PowerShell rounds out the role.
What you will do
Cloud Infrastructure
● Architect, deploy, and maintain GCP cloud resources via Terraform or other automation.
● Implement Google Cloud Storage, Cloud SQL, and 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.
● Design and implement cloud networking, IAM, security, and landing-zone components.
● Optimize resource allocation, monitoring, and cost efficiency across GCP environments.
Kubernetes & Serverless
● 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.
● Move Kubernetes workloads across clouds where required, including AWS EKS to GKE.
● 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.
CI/CD & DevOps
● 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).
● Migrate or redesign existing pipelines as workloads move from AWS to GCP.
AWS-to-GCP Migration
● Assess existing AWS infrastructure and workloads and define appropriate GCP target architectures.
● Plan and execute production AWS-to-GCP migration activities, including workload cutover and rollback planning.
● Plan and execute cross-cloud data migration covering object storage, warehouses, and managed services.
● Support reliability, performance, scalability, and cost optimization during and after migration.
● Automate migration and operational activities using Python, Bash, PowerShell, Go, or platform tooling.
● Use AI coding assistants as a core part of daily engineering work — migration analysis, implementation, troubleshooting, and documentation.
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, Cloud Run, Cloud Load Balancing).
● 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.
● Demonstrated hands-on involvement in at least one real AWS-to-GCP migration — not just multi-cloud familiarity — with the ability to explain what was migrated and what broke.
● Comfortable delivering production-quality code with Claude Code, Cursor, GitHub Copilot, Codex, or comparable AI coding assistants.
● Upper-intermediate English level.
Nice to haves
● Experience with GCP target data platforms such as Databricks or BigQuery.
● Experience migrating network and infrastructure components, not only application workloads.
● Strong Go and/or Python engineering depth.
● Experience leading large-scale cloud migration programs.
● Experience with MCP, reusable AI Skills, or agentic AI workflows.
● Cross-cloud cost and performance optimization experience.
Perks and benefits
● Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps
● Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities
● A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands
● Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office — whatever makes you the happiest and most productive.
Meet Our Recruitment Process
Asynchronous stage — An automated, self-paced track that helps us move faster and give you quicker feedback:
● Short online form to confirm basic requirements
● 30–60 minute skills assessment
● 5-minute introduction video
Synchronous stage — Live interviews
● Technical interview with our engineering team (scheduled at your convenience)
● Final interview with your future teammates
If it’s a match—you’ll get an offer!