Remote Salesforce Cpq & Revenue Cloud Engineer

Opsarmy; Rosario; Hybrid; ARS 136,732,000 - 197,502,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

A selection of exciting projects

Flextime

Job summary

Opsarmy is seeking an experienced GCP Cloud Engineer to architect and manage cloud infrastructure using GKE, Cloud Run, and Terraform. You will lead an AWS-to-GCP migration, assess workloads, define target architectures, and drive production cutover, with strong CI/CD experience via Azure DevOps and scripting in Python, Bash, or PowerShell.

The role requires 4+ years in cloud engineering with focus on GCP, hands-on GKE, Docker, Helm, Terraform, and automation.

Qualifications

• 4+ years in Cloud Engineering with a focus on GCP.
• Hands-on experience with GKE, Docker networking, and Helm.
• Terraform for provisioning cloud resources.
• Experience with AWS-to-GCP migrations.
• Upper-intermediate English level.

Responsibilities

• Architect, deploy, and maintain GCP resources via Terraform or automation.
• Implement storage and data services (Cloud Storage, Cloud SQL, Filestore).
• Manage and optimize Cloud Load Balancers for high availability.
• Design cloud networking, IAM, security, and landing-zone components.
• Automate scaling, rolling updates, and zero-downtime deployments.
• Migrate workloads across clouds (AWS–GCP).
• Deploy apps on Cloud Run/Cloud Functions for serverless workloads.

Skills

GCP

Terraform

Python

Bash/PowerShell

CI/CD

Azure DevOps

Go

AI coding assistants

Tools

GKE

Docker

Azure DevOps

Terraform

Go

Cloud Run

Cloud Functions

Job description

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

• 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.
• 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.