Mid Azure DevOps Engineer

Mid Level DevOps Engineer (Azure)

Location: Latin America | 100% Remote

About CodeRoad

CodeRoad provides end-to-end software development services, helping businesses scale with ideal infrastructure solutions. From staff augmentation to dedicated IT teams and general software engineering, our nearshore technology services empower businesses to thrive in an ever-evolving digital landscape.

About the Role

CodeRoad is looking for an Intermediate DevOps Engineer to serve as the technical backbone for our Azure infrastructure, powering a cutting-edge AI and data platform delivered for a key client. You will own the environments hosting the platform's core data stores, AI services, and user-facing applications, collaborating closely with AI, data, and backend engineers to build a resilient and secure cloud ecosystem.

This role is critical to transforming our cloud operations into a foundation for LLM-based and agentic application architectures. By embedding security and best practices into the infrastructure from day one, you will directly drive the scalable and safe adoption of advanced AI capabilities for high-impact business applications.

Key Responsibilities

• Provision and manage end-to-end Azure infrastructure as code usingTerraform orBicep across development, staging, and production environments.

• Build and maintain robust CI/CD pipelines viaAzure DevOps orGitHub Actions, while authoring comprehensive operational runbooks for the team.

• Optimize the data layer by provisioning, backing up, and securing relational databases, object storage, and vector databases with fine-grained access control.

• Lead security and secrets management by leveragingAzure Key Vault, enforce least-privilegeAzure RBAC with managed identities, and establish secure API key lifecycles for LLM integration.

• Deploy and containerize backend Python services, custom web dashboards, and AI tooling for orchestration, observability, prompt evaluation, and agentic workflows.

• Collaborate with cross-functional PODs to enforce network isolation via private endpoints, virtual networks, and automated CI/CD security scanning, backed byMicrosoft Defender for Cloud andAzure Monitor.

Requirements

• 2–4 years of total DevOps or cloud engineering experience, with at least2+ years specifically focused onAzure.

• Tech Stack Mastery: Hands-on experience withTerraform orBicep, container hosting (Azure Container Apps,AKS, orApp Service), and scripting proficiency inPython orBash.

• Data & Cloud Foundations: Practical working knowledge ofAzure SQL,Blob Storage,Azure Key Vault, and CI/CD pipelines (Azure DevOps orGitHub Actions).

• Security Mindset: Hands-on experience with network isolation (VNets, Private Endpoints), data encryption at rest and in transit, and vulnerability/policy scanning in CI/CD pipelines.

• Soft Skills: Strongownership mindset, proactive problem-solving skills, and a collaborative team attitude in a fast-paced environment.

• Language Proficiency:Advanced English (clear written and spoken communication for working with distributed, nearshore teams).

Nice to Have

• Experience with vector databases (e.g.,Azure AI Search,pgvector, orQdrant) and hosting Python services.

• Familiarity with LLM and agentic application tooling such asLangGraph,Langfuse,Promptfoo, or deployingMCP servers.

• Exposure to modern data integration tooling likeMicrosoft Fabric,Azure Data Factory, orDatabricks.

• Background in configuring AI-specific security controls, prompt logging, and token usage telemetry.

What You’ll Love

• 100% Remote work flexibility

• Paid Holidays off

• Generous Paid Time Off (PTO)

• Health insurance assistance

• Competitive compensation in USD

• Continuous learning and career growth opportunities