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Open nowPosted 13 hours ago

Azure DevOps Engineer

Applaudo Studios37 open roles

Where
Mexico City, CDMX, Mexico
Work mode
Hybrid
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Your applicationOpen nowAzure DevOps EngineerApplaudo Studios · Mexico City, CDMX, Mexico
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The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market. Applaudo Studios postings stay open a median of 20 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: posted 13 hours ago

Applaudo Studios median: 20 days open

The posting

Job Description

About you

You are an Azure DevOps Engineer who enjoys working with cloud infrastructure, improving deployment processes, and solving technical challenges in dynamic engineering environments. You bring a hands-on approach to cloud operations and are comfortable contributing to existing infrastructure, automation, and CI/CD workflows.

You are curious, proactive, and eager to strengthen your technical expertise while collaborating with experienced engineers. You take ownership of assigned tasks, communicate progress clearly, and know when to seek guidance to ensure reliable and high-quality results. You thrive in distributed teams and enjoy learning new technologies while contributing to stable and efficient cloud environments.

Note: This role operates under a 6-month contract-to-hire model and requires on-site presence at our offices in Mexico City, Mexico, or São Paulo, Brazil.

You bring to Applaudo the following competencies:

  • Bachelor's Degree in Computer Science, Information Technology, Software Engineering, or a related field is desired, or equivalent professional experience.
  • 2+ years of professional experience in DevOps, Cloud Infrastructure, or related roles.
  • Hands-on experience with Microsoft Azure services, including API Management, App Service, Azure Functions, Storage, Redis, Event Hubs, Service Bus, and Azure AI Foundry.
  • Working knowledge of Terraform, including the ability to navigate, modify, and maintain complex infrastructure modules within existing codebases.
  • Experience configuring Microsoft Entra ID app registrations and OpenID Connect (OIDC) authentication.
  • Hands-on experience building and maintaining CI/CD pipelines using GitHub Actions.
  • Understanding of DNS concepts and basic Azure troubleshooting using native cloud tools.
  • Experience working with Linux environments and scripting using Bash or PowerShell, including generating reports through command-line tools.
  • Familiarity with Git workflows, branching strategies, and pull request processes.
  • Functional written and verbal English proficiency for collaboration with distributed teams.
  • Strong problem-solving skills, technical curiosity, ownership, and willingness to learn.
  • Ability to work independently on assigned tasks while collaborating with and receiving guidance from senior engineers.
  • Strong verbal and written English communication skills.

Nice to Have:

  • Exposure to AWS or other cloud platforms.
  • Familiarity with ARM templates, Azure Policy, and Azure CLI.
  • Experience deploying containerized applications.
  • Exposure to Azure Kubernetes Service (AKS) or Kubernetes.
  • Experience reviewing application and infrastructure logs using Datadog or Azure Application Insights.
  • Basic Python scripting skills.
  • Azure Fundamentals, Azure Administrator, or HashiCorp Terraform Associate certification.

You will be accountable for the following responsibilities:

  • Develop, update, and maintain Terraform configurations within established infrastructure codebases.
  • Collaborate with senior engineers to review infrastructure changes through Git-based pull request workflows.
  • Build, maintain, and troubleshoot GitHub Actions pipelines to support application deployments and releases.
  • Assist with Azure environment configuration, infrastructure setup, and access management requests.
  • Configure Microsoft Entra ID app registrations and OIDC-based authentication for deployment workflows.
  • Develop Bash or PowerShell scripts to automate operational tasks and generate reports.
  • Monitor alerts using Datadog and Azure Monitor, perform initial incident triage, and assist with troubleshooting and resolution.
  • Investigate Azure infrastructure and application issues, identifying potential causes and escalating complex incidents when necessary.
  • Maintain accurate runbooks, infrastructure documentation, and operational procedures.
  • Support routine cloud operations and infrastructure maintenance following established engineering standards.
  • Collaborate with distributed engineering teams to ensure continuity of support and timely resolution of operational requests across time zones.
  • Take ownership of assigned infrastructure and support activities while continuously improving technical knowledge and operational efficiency.

Qualifications

  • 2+ years of DevOps or Cloud Infrastructure experience.
  • Hands-on Microsoft Azure and Terraform experience.
  • CI/CD pipelines with GitHub Actions.
  • Microsoft Entra ID, OIDC, and DNS fundamentals.
  • Linux and Bash or PowerShell scripting.
  • English proficiency.

Additional Information

About Us

We Are Engineered Different.

At Applaudo, talented people design, build, and scale meaningful, AI-powered solutions that create real business impact. As an AI-native organization, we collaborate across design, development, cloud, data, and artificial intelligence to turn ideas into scalable products that transform how companies operate, make decisions, and grow.

We are building a high-performance culture grounded in five values: Empowering Excellence, Collaborative Teamwork, Unsolicited Respect, Consistent Transparency, and Efficient Communication. These define how we work, how we support one another, and how we hold ourselves accountable.

Applaudo is a place for people who want to learn fast, take ownership, and work alongside strong teams they are proud to belong to. Joining us means being part of an organization that is evolving intentionally, investing in modern ways of working, and leading AI-native transformation at scale.

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