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Applaudo Studios

AI-first engineering to deliver scalable outcomes

Azure DevOps Engineer

Cloud EngineeringUpdated on Nov 11
Full-timeNo salary listed

About the Job

Requirements

  • A Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field is desired, or equivalent professional experience.
  • At least 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 navigating, modifying, and maintaining complex infrastructure modules within existing codebases.
  • Experience configuring Microsoft Entra ID app registrations and OpenID Connect 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.
  • Ability to work independently on assigned tasks while collaborating with and receiving guidance from senior engineers.
  • Strong verbal and written English communication skills.

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 OpenID Connect-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, identify potential causes, and escalate 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.

Desired Qualifications

  • 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 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.

About the Company

Applaudo Studios

AI-first engineering to deliver scalable outcomes

Applaudo Studios helps enterprises accelerate transformation through AI-first engineering and scalable delivery. It designs software that learns and adapts from day one, aiming to produce real business results rather than just features. The company pairs AI-native engineering with outcome-driven partnerships and nearshore delivery to move ideas quickly from concept to implementation and to build systems that perform at scale. What sets Applaudo apart is not only what it builds but how: it focuses on AI-first software, measurable business impact, and a strong talent pool in Latin America, backed by a high-performance culture centered on empowering excellence, collaborative teamwork, unsolicited respect, consistent transparency, and efficient communication. The goal is to turn AI ambition into tangible outcomes for clients by delivering reliable, scalable solutions that drive meaningful business value.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Austin, TX
Founded
2012

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