GCP Platform Engineer
Коротко
GCP Cloud Engineer needed by Agile
Engine to design, implement, and manage scalable cloud infrastructure and CI/CD on Google Cloud Platform. Requires 4+ years in cloud engineering, GCP, Kubernetes, CI/CD, Terraform, Python/Bash/PowerShell, and upper-intermediate English.
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Стислий виклад підготував ШІ на основі тексту оголошення.
ID89421
Agile
Engine 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.
The mandatory requirements are 4+ years in cloud engineering, GCP experience, Kubernetes, and an upper-intermediate English level.
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: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps;
- Competitive compensation: We match your skills and contributions with USD-based compensation and budgets for education, fitness, and team activities;
- A selection of exciting projects: Work with Fortune 500 enterprises and leading product brands using modern solutions;
- Flextime: Flexible schedule with remote and office options for work-life balance;
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!
| Опубліковано | 2026-10-28 |
| Діє до | 2026-12-27 |
| Джерело |
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Інструменти, налаштовані під цю вакансію.
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Інструменти, налаштовані під цю вакансію.