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About The Role
As a GCP Cloud Engineer, you will play a key role in designing, deploying, and optimizing cloud solutions on Google Cloud Platform. You'll leverage your expertise in Infrastructure as Code (IaC), containerization, and automation to build scalable, secure, and efficient environments. Your ability to troubleshoot complex issues, collaborate with cross-functional teams, and implement best practices will be essential to your success.
In This Role, You Will
- Manage GCP services such as GCE, GKE, IAM, GCS, and other commonly used components.
- Build, deploy, and debug Terraform templates in cloud environments (3–6 years of experience).
- Develop and troubleshoot Helm charts and Docker images on cloud platforms (2–3 years of experience).
- Apply Kubernetes security best practices, including network policies, RBAC, and secret management.
- Design and implement containerization and orchestration solutions using Docker and Kubernetes/GKE.
- Suggest workflow improvements to enhance efficiency and success.
- Collaborate with cross-functional teams and support partner queries related to SaaS architectures and deployment types.
Work model
We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants in Santiago, Chile. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What You Need To Have To Be Considered
- Hands-on experience managing GCP services (GCE, GKE, IAM, GCS).
- 4–6 years of experience with Terraform for IaC deployments.
- 2–3 years of experience with Helm charts and Docker image deployment.
- Strong knowledge of containerization and orchestration tools (Docker, Kubernetes/GKE).
- Understanding of networking concepts (DNS, SSL/TLS, firewalls, load balancers).
- Experience with scripting languages such as Bash or Python.
- Solid understanding of SaaS platforms and deployment types.
- Knowledge of VM images, OS types, UNIX/Linux systems.
- Advanced level of English.
These will help you stand out
- GCP Cloud Solution Architect certification.
- Experience implementing Kubernetes security best practices.
- Familiarity with workflow optimization and automation strategies.
- Exposure to AI/GenAI or advanced automation projects.
Benefits
- A career in one of the largest and fastest-growing IT services providers worldwide.
- Ongoing support and funding for training and development plans.
- Opportunity to work for leading global companies.
- A diverse, collaborative, and inclusive work environment where everyone can thrive.
- Highly competitive salary and benefits, including Metlife for you and your primary family group, annual bonus, and additional perks shared during the selection process.
