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Azure Cloud/ Platform Engineer - LATAM

Rad Hires
3 days ago
Contract
Remote
Peru, Argentina, Uruguay, Brazil, Ecuador, and Colombia

Azure Cloud / Platform Engineer

About the Company

Our client is a U.S.-based consulting firm headquartered in Minneapolis, with over two decades of experience helping organizations navigate complex business and technology transformations. They specialize in business transformation, enterprise program execution, digital innovation, and IT innovation, working with companies that need to modernize how they operate and deliver value.

Their reputation is built on three pillars: smart strategy, strong culture, and measurable results. They're known for being pragmatic doers — strategic thinkers who simplify the complicated, align people and processes, and deliver solutions on time and on budget. The team is recognized as a Top Workplace and prides itself on an ego-free, collaborative culture where quality people work alongside quality clients.

About the Role

We're looking for an Azure Cloud / Platform Engineer to support the infrastructure and platform layer of a modern, AI-driven application.

Despite the common title, this is not a traditional data engineering role — there's no BI work, no reporting, and no heavy ETL pipelines. The focus here is on cloud infrastructure, system integration, and deployment.

The core Azure environments (Dev / Test / Prod) are already pre-provisioned by the client. Your job will be to configure and wire services within those environments rather than stand up the cloud footprint from scratch. You'll enable the system that powers the application — a critical, behind-the-scenes role for someone who values clean execution over over-engineering.

The initial engagement is a 2 to 2.5 week project. If things go well, there's a strong likelihood of continued work — the client has outlined roughly two years of potential follow-on engagement, though only the initial six weeks are formally committed at this time.

Responsibilities

  • Configure and wire Azure services within pre-provisioned environments to support application workloads.
  • Implement data ingestion pipelines using Azure services.
  • Configure and manage Blob Storage, event-driven architecture, and cloud-based databases.
  • Set up secure access using managed identities and role-based access control (RBAC).
  • Support application deployment and CI/CD workflows.
  • Write lightweight Python scripts for automation and integration.
  • Run AzCopy operations for large-scale data backfills from source systems into Blob Storage.
  • Configure Application Insights for monitoring, logging, and alerting.
  • Create clear documentation and operational runbooks.
  • Collaborate with application engineers to ensure seamless platform integration.

Requirements

Azure Cloud Expertise — hands-on experience with:

  • Azure App Services / Functions / Container Apps
  • Azure Blob Storage
  • Event Grid (topics, subscriptions, and BlobCreated triggers)
  • Azure SQL or similar relational databases
  • Application Insights for monitoring, logging, and alerting
  • AzCopy for bulk data movement into Blob Storage

DevOps & Infrastructure:

  • Experience with Azure DevOps or similar CI/CD tools
  • Proficiency with Azure CLI or PowerShell
  • Experience with Docker and containers

Security & Identity:

  • Managed identities
  • Role-based access control (RBAC)
  • Secure, cloud-native authentication approaches

Programming & Data:

  • Strong Python skills (automation, scripting, integrations)
  • Solid understanding of SQL and database performance tuning

AI Tooling Experience (Required):

  • Hands-on experience with AI-assisted development tools, with demonstrable real-world usage in delivering working solutions.

Behavioral fit:

  • Comfortable in a supporting but critical role — you enable the system, you don't own the app.
  • Bias toward practical, lightweight solutions over over-engineering.
  • Strong documentation habits — this role leaves behind a usable, maintainable system.
  • Ability to ramp up fast and deliver in short, focused timeframes.
  • Strong async communicator.

Why Join Us

  • Work on a modern, AI-driven product at the infrastructure layer — meaningful, technical work with clear scope and impact.
  • Join a respected U.S. consulting firm with a long-standing reputation for delivery quality and a Top Workplace–recognized culture.
  • Ego-free, collaborative environment where smart people work alongside smart clients to drive transformative change.
  • Clear initial scope (6 weeks) with strong potential for extended engagement — the client has mapped out up to two years of additional work pending project success.
  • Autonomy and ownership within a focused, high-trust team that values pragmatic execution over bureaucracy.