Mid Azure DevOps Engineer at CodeRoad

Job description

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? 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. Career Continuity & Long-Term Opportunity: Your career here can outlast any single project. Continuous multi-project pipeline; long-tenure CodeRoaders. 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. 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 Infrastructure as Code: Provision and manage end-to-end Azure infrastructure using Terraform or Bicep across development, staging, and production environments. 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. 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. 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. Containerization & AI Workflows: Containerize and deploy backend Python services, custom dashboards, and AI orchestration/observability tooling for agentic workflows and prompt evaluation. 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 . What You Bring Azure & DevOps Expertise: 2–4 years of total cloud engineering experience, with at least 2+ years of hands-on experience specifically focused on Azure environments. Core Technical Stack: Proficiency with Infrastructure as Code ( Terraform or Bicep ), container hosting ( Azure Container Apps , AKS , or App Service ), and scripting in Python or Bash . Cloud & Data Foundations: Practical working knowledge of Azure SQL , Blob Storage , Azure Key Vault , and modern CI/CD platforms ( Azure DevOps or GitHub Actions ). Security-First Approach: Experience with network isolation (VNets, Private Endpoints), data encryption at rest/in transit, vector databases (e.g., Azure AI Search, pgvector), or LLM tooling (LangGraph, Promptfoo). Ownership & Collaboration: A proactive, self-driven approach to technical problem-solving with the autonomy to own infrastructure outcomes in a collaborative team setting. English Communication: Advanced English proficiency (both written and spoken) for seamless daily collaboration with distributed U.S. and nearshore engineering teams. What You’ll Love USA Contractor / 100% Remote Competitive Pay (USD) Holidays Off & Paid Time Off Health insurance assistance program Opportunity to work with high-growth US-based companies and cutting-edge tech stacks. Ready to Build What Actually Ships? Explore opportunities and submit your application today!

Requirements

Must-haves

Engagement Type: Full-Time / Contractor
Location: Latin America | 100% Remote
Infrastructure as Code: Provision and manage end-to-end Azure infrastructure using Terraform or Bicep across development, staging, and production environments.
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.
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.
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.
Containerization & AI Workflows: Containerize and deploy backend Python services, custom dashboards, and AI orchestration/observability tooling for agentic workflows and prompt evaluation.
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 .
Azure & DevOps Expertise: 2–4 years of total cloud engineering experience, with at least 2+ years of hands-on experience specifically focused on Azure environments.
Core Technical Stack: Proficiency with Infrastructure as Code ( Terraform or Bicep ), container hosting ( Azure Container Apps , AKS , or App Service ), and scripting in Python or Bash .
Cloud & Data Foundations: Practical working knowledge of Azure SQL , Blob Storage , Azure Key Vault , and modern CI/CD platforms ( Azure DevOps or GitHub Actions ).
Security-First Approach: Experience with network isolation (VNets, Private Endpoints), data encryption at rest/in transit, vector databases (e.g., Azure AI Search, pgvector), or LLM tooling (LangGraph, Promptfoo).
Ownership & Collaboration: A proactive, self-driven approach to technical problem-solving with the autonomy to own infrastructure outcomes in a collaborative team setting.
English Communication: Advanced English proficiency (both written and spoken) for seamless daily collaboration with distributed U.S. and nearshore engineering teams.
What You’ll Love
USA Contractor / 100% Remote
Competitive Pay (USD)
Opportunity to work with high-growth US-based companies and cutting-edge tech stacks.
Ready to Build What Actually Ships?
Explore opportunities and submit your application today!

Nice-to-haves

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Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiazureci/cdapillmpythonsqlrest

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Health Insurance

Vision

Paid Time Off