Mid Azure DevOps Engineer

About the role

Engagement Type: Full-Time / Contractor

Location: Latin America | 100% Remote

About CodeRoad

CodeRoad is a technology execution partner trusted by companies across North America since 2002. We work alongside our clients to engineer, modernize, and scale the technology that powers their businesses, combining deep technical expertise, specialized teams, and shared accountability for outcomes. Our capabilities span product engineering, platform engineering, legacy modernization, and AI engineering.

Our engineers, designers, delivery leaders, and technology specialists collaborate through Velocity Studios: specialized teams developed within CodeRoad to deliver complex technology initiatives. Being assigned to a project means you become part of a collaborative environment where you can strengthen your expertise, take ownership of meaningful work, and grow alongside experienced professionals.

Why Build Your Career at CodeRoad?

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High-Velocity Work & Client Exposure: We work close to the technology, teams and roadmaps that move real outcomes. Direct engagement with U.S. client teams and roadmaps.

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Career Continuity & Long-Term Opportunity: Your career here can outlast any single project. Continuous multi-project pipeline; long-tenure CodeRoaders.

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Engineering Autonomy & Technical Mastery: We invest in the skills that shape what's next. Agentic AI tools and training, Coursera Enterprise, Studio practice labs, L1-L7 Career Framework.

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High-Trust Employee Experience: You grow in an environment built on trust, transparency and recognition. High-touch onboarding, transparent leadership communication, community recognition, psychological safety.

Key Responsibilities

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Infrastructure as Code: Provision and manage end-to-end Azure infrastructure using Terraform or Bicep across development, staging, and production environments.

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CI/CD & Operational Excellence: Build and maintain robust deployment pipelines via Azure DevOps or GitHub Actions, while authoring comprehensive operational runbooks to ensure repeatable platform delivery.

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Data Layer Optimization: Provision, back up, and secure relational databases, object storage, and vector databases with fine-grained access control to support core platform data stores.

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Cloud Security & Secrets Management: Enforce least-privilege Azure RBAC with Managed Identities, optimize secrets management using Azure Key Vault, and establish secure API key lifecycles for LLM integrations.

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Containerization & AI Workflows: Containerize and deploy backend Python services, custom dashboards, and AI orchestration/observability tooling for agentic workflows and prompt evaluation.

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Network Isolation & Observability: Enforce network security via private endpoints and virtual networks, integrating automated CI/CD security scanning, Microsoft Defender for Cloud, and Azure Monitor.