Mid Azure DevOps Engineer
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Job Description
Azure DevOps Engineer building secure Azure infrastructure, CI/CD pipelines, and AI workflows for CodeRoad. Supporting technology modernization and scaling for US-based client companies.
Responsibilities:
- Provision and manage end-to-end Azure infrastructure using Terraform or Bicep across development, staging, and production environments
- Build and maintain deployment pipelines through Azure DevOps or GitHub Actions
- Author comprehensive operational runbooks for repeatable platform delivery
- Provision, back up, and secure relational databases, object storage, and vector databases
- Implement fine-grained access control for core platform data stores
- Enforce least-privilege Azure RBAC with Managed Identities
- Optimize secrets management with Azure Key Vault
- Establish secure API key lifecycles for LLM integrations
- Containerize and deploy backend Python services, custom dashboards, and AI orchestration/observability tooling
- Support agentic workflows and prompt evaluation
- 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 U.S. and nearshore engineering teams
Requirements:
- 2–4 years of total cloud engineering experience
- At least 2+ years of hands-on experience focused specifically on Azure environments
- Proficiency with Infrastructure as Code using Terraform or Bicep
- Experience with container hosting: Azure Container Apps, AKS, or App Service
- Scripting proficiency in Python or Bash
- Practical working knowledge of Azure SQL, Blob Storage, Azure Key Vault, and Azure DevOps or GitHub Actions
- Experience with network isolation, including VNets and Private Endpoints
- Experience with data encryption at rest and in transit
- Experience with vector databases such as Azure AI Search or pgvector, or LLM tooling such as LangGraph or Promptfoo
- Proactive, self-driven approach to technical problem-solving
- Autonomy to own infrastructure outcomes in a collaborative team setting
- Advanced English proficiency, written and spoken
- Ability to collaborate daily with distributed U.S. and nearshore engineering teams
Benefits:
- High-touch onboarding
- Transparent leadership communication
- Community recognition
- Psychological safety
- Agentic AI tools and training
- Coursera Enterprise
- Studio practice labs
- Continuous multi-project pipeline
- Holidays off and paid time off
- Health insurance assistance program
- Opportunity to work with high-growth US-based companies and cutting-edge tech stacks
- Competitive pay (USD)
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