Mid Azure DevOps Engineer

This is a fully remote position, open to applicants in Latin America.

📋 Description

• Oversee and manage the complete Azure infrastructure lifecycle utilizing Terraform or Bicep across development, staging, and production environments.

• Develop and sustain deployment pipelines via Azure DevOps or GitHub Actions.

• Create detailed operational runbooks for consistent platform delivery.

• Provision, back up, and secure relational databases, object storage, and vector databases.

• Implement granular access control for essential platform data stores.

• Apply least-privilege Azure RBAC with Managed Identities.

• Enhance secrets management using Azure Key Vault.

• Set up secure API key lifecycles for LLM integrations.

• Containerize and deploy backend Python services, custom dashboards, and AI orchestration/observability tools.

• Support agentic workflows and prompt assessment.

• Enforce network security through private endpoints and virtual networks.

• Integrate automated CI/CD security scanning, Microsoft Defender for Cloud, and Azure Monitor.

• Collaborate with distributed engineering teams in the U.S. and nearshore locations.

⛳️ Requirements

• 2–4 years of overall experience in cloud engineering.

• A minimum of 2+ years of hands-on experience specifically in Azure environments.

• Expertise in Infrastructure as Code with Terraform or Bicep.

• Experience in container hosting solutions: Azure Container Apps, AKS, or App Service.

• Proficiency in scripting with Python or Bash.

• Solid working knowledge of Azure SQL, Blob Storage, Azure Key Vault, and Azure DevOps or GitHub Actions.

• Familiarity with network isolation techniques, including VNets and Private Endpoints.

• Knowledge of data encryption protocols for both at rest and in transit.

• Experience with vector databases such as Azure AI Search or pgvector, or LLM tools like LangGraph or Promptfoo.

• A proactive and self-motivated approach to solving technical challenges.

• Ability to independently manage infrastructure outcomes within a collaborative team environment.

• Advanced proficiency in English, both written and spoken.

• Capability to engage daily with distributed engineering teams in the U.S. and nearshore regions.

🏝️ Benefits

• Comprehensive onboarding process.

• Open communication from leadership.

• Community acknowledgment.

• Emphasis on psychological safety.

• Access to agentic AI tools and training.

• Coursera Enterprise subscription.

• Studio practice laboratories.

• Opportunities for continuous multi-project pipelines.

• Paid holidays and vacation time.

• Health insurance assistance program.

• Chance to collaborate with rapidly growing U.S.-based companies and advanced technology stacks.

• Competitive salary (in USD).