Senior Azure Cloud / Platform Engineer (Latam, Remote)

Remote from: LATAM
Annual salary: Undisclosed
Salary information is not provided for this position. Check our Salary Directory to estimate the average compensation for similar roles.
Department: DevOps & Infrastructure
Employment type: Contract,
Job posted: 8 May 2026
Apply before: 7 Jun 2026
Experience level: Senior
Views / Applies: 168 / 34

We create innovative software solutions that empower businesses to visualize and analyze their data effectively.

Computer Software
2003

AI Summary

Kubikware, a digital agency with over 20 years of experience, is seeking a Senior Azure Cloud/Platform Engineer for a short-term engagement (2-2.5 weeks) supporting an AI-driven application. The role requires strong Azure expertise, Python scripting, CI/CD, and Docker skills. Candidates must be based in Latin America and work with US-based teams during Central Time hours. This is a fully remote, full-time position with compensation in USD and potential for extension.

Job Complexity

Easy Hard

AI Insight The role demands senior-level expertise across Azure services, scripting, and DevOps, plus the ability to quickly ramp up on a short-term project, making it challenging but not extremely rare.

Salary Analysis

AI Insight The salary is not specified. For a senior Azure Cloud/Platform Engineer in the US market, the typical range is $120k-$170k. Since this is a short-term engagement for a Latin American candidate, compensation may be adjusted downward, but should still be competitive in the region.

Key Skills

Microsoft Azure Python CI/CD Docker DevOps Azure DevOps SQL Event-Driven Architecture Infrastructure as Code Cloud Engineering

Cover Letter Sample

Dear Hiring Team,

I am writing to express my strong interest in the Senior Azure Cloud/Platform Engineer position at Kubikware. With over 6 years of experience in cloud engineering and a deep specialization in Microsoft Azure, I am confident in my ability to deliver high-impact results for your AI-driven application within the short engagement timeframe.

My hands-on experience includes designing and managing Azure App Services, Functions, Container Apps, Blob Storage, Event Grid, and SQL databases, as well as building robust CI/CD pipelines using Azure DevOps. I am proficient in Python for automation, Docker for containerization, and have a solid track record of integrating cloud services in existing environments.

I thrive in fast-paced, short-term projects and have strong documentation and communication skills, enabling seamless collaboration with distributed US-based teams. I am available to work full-time during Central Time hours and am excited about the opportunity to contribute to Kubikware's innovative projects.

Thank you for considering my application. I look forward to discussing how my skills align with your needs.

Sincerely,
[Your Name]

Possible Interview Questions

Describe your experience with Azure App Services and how you would configure it for a high-availability AI application.

I have extensive experience with Azure App Services, including configuring auto-scaling, deployment slots, and integrating with Azure Front Door for global distribution. For an AI application, I would ensure proper scaling rules based on CPU/memory, enable health checks, and use managed identities for secure access to other Azure resources.

How do you approach CI/CD pipeline setup in Azure DevOps for a Python-based application?

I would create a YAML pipeline with stages for build, test, and deploy. The build stage would use a Python environment to install dependencies and run tests. The deploy stage would use Azure CLI or tasks to deploy to App Services or Container Apps, with approval gates for production.

Can you explain event-driven architecture and how you would implement it using Azure Event Grid?

Event-driven architecture uses events to trigger actions, enabling decoupled services. With Azure Event Grid, I would define topics for events (e.g., data ingestion), create subscriptions to route events to handlers like Azure Functions or Logic Apps, and ensure idempotency for reliable processing.

How do you ensure security and compliance in cloud infrastructure?

I follow least-privilege access using Azure RBAC, encrypt data at rest and in transit, use Azure Key Vault for secrets, enable logging and monitoring with Azure Monitor, and regularly review security policies. For compliance, I adhere to industry standards like SOC 2 and GDPR as needed.

Describe a challenging problem you solved in a short-term engagement and how you approached it.

In a previous 2-week engagement, I had to migrate a legacy app to Azure Container Apps. I quickly assessed the architecture, containerized the app using Docker, set up CI/CD with Azure DevOps, and implemented monitoring with Application Insights. I documented the process and handed over to the client's team, meeting the deadline.

We are Kubikware™

, a digital agency with 20+ years of experience designing and developing web and mobile platforms, as well as video games, AR/VR apps, and AI/ML. We are headquartered in Miami, FL with a strong South American team, and have clients and partners in the US market of all sizes and verticals. Among other accolades, we are a 5-time Inc. 5000 Fastest Growing Companies in America honoree.

We are looking to expand our amazing roster with a Senior Azure Cloud / Platform Engineer, located in Latin America. This is a short-term, high-impact engagement focused on supporting the infrastructure and platform layer of a modern AI-driven application.

We are looking for:

6+ years of experience in Cloud / Platform / DevOps engineering
Strong hands-on experience with Microsoft Azure, including:
- App Services / Functions / Container Apps
- Blob Storage
- Event Grid
- Azure SQL or similar databases
Experience configuring and integrating cloud services within existing environments
Experience with CI/CD pipelines (Azure DevOps or similar)
Proficiency with Azure CLI or PowerShell
Experience working with Docker / containers
Strong Python skills for scripting and automation
Solid understanding of SQL and database performance
Hands-on experience with AI-assisted development tools
Strong documentation skills and ability to work independently
Good communication skills and ability to collaborate with distributed teams