Mid Azure DevOps Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked just now — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 3d ago
The date the source published, not the day we noticed it (2026-10-07). Last seen at its source 2h ago.
We have tracked this listing since 7 Oct 2026 (3 days). The employer's own board has carried it every time we have read it, most recently 2 hours ago.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
LATAM
The description agrees: it names LATAM.
What the ad says
…Location: Latin America…
Pay not stated
Similar roles pay $3,750–7,250/mo
Middle 50% of 52 listings that do state pay — Engineering · all levels · LATAM · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Greenhouse employer's own board first seen 3d ago · last seen 2h ago
The listing
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 using Terraform or Bicep across development, staging, and production environments.
-
Build and maintain robust CI/CD pipelines via Azure DevOps or GitHub 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 leveraging Azure Key Vault, enforce least-privilege Azure 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 by Microsoft Defender for Cloud and Azure Monitor.
Requirements
-
2–4 years of total DevOps or cloud engineering experience, with at least 2+ years specifically focused on Azure.
-
Tech Stack Mastery: Hands-on experience with Terraform or Bicep, container hosting (Azure Container Apps, AKS, or App Service), and scripting proficiency in Python or Bash.
-
Data & Cloud Foundations: Practical working knowledge of Azure SQL, Blob Storage, Azure Key Vault, and CI/CD pipelines (Azure DevOps or GitHub 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: Strong ownership 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, or Qdrant) and hosting Python services.
-
Familiarity with LLM and agentic application tooling such as LangGraph, Langfuse, Promptfoo, or deploying MCP servers.
-
Exposure to modern data integration tooling like Microsoft Fabric, Azure Data Factory, or Databricks.
-
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