Mid Azure DevOps Engineer

Posted 22 Days Ago
11 Locations
Remote
Mid level
Artificial Intelligence • Cloud • Professional Services • Software
The Role
Own and manage Azure infrastructure across development, staging, and production using infrastructure as code. Build CI/CD pipelines, containerize Python and AI services, secure data platforms, manage secrets and identities, enforce network isolation, and implement monitoring and security scanning. Collaborate with AI, data, and backend engineering teams to deliver resilient cloud infrastructure for LLM-based and agentic applications.
Summary Generated by Built In

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!

Skills Required

  • 2–4 years of total DevOps or cloud engineering experience
  • At least 2 years of Azure-focused experience
  • Hands-on experience with Terraform or Bicep
  • Experience with Azure Container Apps, AKS, or App Service
  • Scripting proficiency in Python or Bash
  • Working knowledge of Azure SQL and Blob Storage
  • Experience with Azure Key Vault and Azure DevOps or GitHub Actions
  • Experience with VNets, Private Endpoints, encryption, and CI/CD security scanning
  • Advanced English proficiency
  • Ownership mindset, proactive problem-solving, and collaborative teamwork
  • Experience with vector databases such as Azure AI Search, pgvector, or Qdrant
  • Experience hosting Python services
  • Familiarity with LangGraph, Langfuse, Promptfoo, or MCP servers
  • Exposure to Microsoft Fabric, Azure Data Factory, or Databricks
  • Experience with AI-specific security controls, prompt logging, and token telemetry
Am I A Good Fit?
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The Company
350 Employees
Year Founded: 2002

What We Do

CodeRoad is a nearshore software development and technology-execution partner that helps organizations modernize applications, migrate to the cloud, build digital products, and implement enterprise AI. Its services span the full software development lifecycle, including dedicated engineering teams, platform engineering, data and AI infrastructure, legacy modernization, cloud architecture, quality automation, and DevOps. The company serves startups, enterprises, and private-equity portfolio businesses.

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