Mid-Level DevOps Engineer (Azure) - Cloud Infrastructure & CI/CD Automation

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Mid-Level DevOps Engineer (Azure) based in Brazil.

Join a cloud-focused DevOps team responsible for supporting critical shared services within a modern, cloud-native software environment.

In this role, you will help strengthen cloud infrastructure, automate provisioning, and modernize continuous delivery practices across development and production environments.

You will work hands-on with Microsoft Azure, Terraform, GitHub Actions, and Kubernetes while partnering closely with engineering teams.

Your work will improve deployment efficiency, platform reliability, scalability, and operational quality.

You will contribute to containerized environments, infrastructure automation, GitOps practices, and continuous improvement initiatives.

The role offers exposure to modern DevOps technologies and opportunities to expand your tooling expertise while working in a collaborative, people-first environment.

You will also play an important role in maintaining platform stability and supporting mission-critical software through reliable cloud operations.

Accountabilities

• Cloud Infrastructure and Automation: Design, implement, and maintain scalable, highly available infrastructure within Microsoft Azure using Terraform, while helping create reliable and repeatable environments across development and production.
• Infrastructure Reliability: Monitor operational metrics, analyze performance bottlenecks, troubleshoot infrastructure issues, and contribute to continuous improvements that strengthen platform reliability and availability.
• CI/CD Delivery: Build, maintain, and optimize GitHub Actions pipelines that enable efficient software releases, while introducing automated validation and continuous feedback into delivery workflows.
• GitOps and Deployment Practices: Apply GitOps methodologies and declarative infrastructure configurations to create consistent, automated deployment patterns and improve release management.
• Kubernetes Operations: Deploy, maintain, and scale containerized applications within Azure Kubernetes Service, contributing to the stability and performance of cloud-native environments.
• Engineering Collaboration: Partner directly with development and feature teams to improve release processes, simplify technical workflows, and identify opportunities to increase delivery efficiency through automation.
• Technical Support and On-Call: Act as a technical contributor for escalated infrastructure issues and participate in an after-hours on-call rotation to address critical incidents and maintain platform availability.
  
  

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Requirements

• DevOps Experience: Bring at least 4 years of DevOps experience supporting cloud infrastructure environments, with strong hands-on experience in Microsoft Azure.
• Azure and Terraform: Demonstrate practical experience building, managing, and automating production cloud environments using Microsoft Azure and Terraform.
• CI/CD: Have solid experience designing and maintaining scalable CI/CD pipelines with GitHub Actions and applying continuous integration and continuous deployment principles.
• Kubernetes: Have hands-on experience managing, maintaining, and scaling containerized application environments, particularly with Azure Kubernetes Service (AKS); exposure to EKS is also valuable.
• Scripting and Automation: Be comfortable using PowerShell, Python, or Bash to automate routine operational tasks and improve engineering workflows.
• Problem-Solving and Collaboration: Demonstrate pragmatic problem-solving skills, the ability to simplify complex technical architectures, and a collaborative approach to working with engineering teams.
• Communication: Have strong English communication skills, both written and verbal, with the ability to explain technical concepts effectively to globally distributed teams.
• Education: Have a high school diploma or bachelor's degree, with equivalent practical experience also valued.
• Additional DevOps Knowledge: Exposure to GitOps tools such as Argo CD or Flux CD, security scanning tools such as SonarQube, OWASP ZAP, Mend, or Twistlock, and monitoring or logging platforms such as Kibana, Grafana, Datadog, or Azure Monitor is advantageous.
• Cloud and Certifications: Familiarity with Amazon Web Services is a plus, while Microsoft Certified: Azure DevOps Engineer Expert or AWS Certified DevOps Engineer - Professional certification is desirable.
• AI-Assisted Development: An interest in using AI-assisted workflows to support code generation, pipeline troubleshooting, and other DevOps activities is an advantage.
  
  

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Benefits

• Remote Work: Full-time remote work from Brazil, providing flexibility to work from a remote environment.
• Professional Development: Opportunity to work with modern cloud technologies and expand expertise across Azure, Terraform, GitHub Actions, Kubernetes, GitOps, automation, and related DevOps tooling.
• Collaborative Environment: Work closely with engineering teams and contribute to a culture focused on operational excellence, automation, continuous improvement, and reliable software delivery.
• Career Growth: Gain exposure to complex cloud-native environments and mission-critical software while developing both technical and cross-functional skills.
• Travel and Relocation: No travel is required for the role, and relocation assistance is not provided.
• Compensation and Additional Benefits: Specific salary and additional benefits were not provided in the source job description.
  
  

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.