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Azure DevOps Engineer (Cloud & AI Delivery) at oowlish in Remote, Brazil is a Senior IT / DevOps / SRE role. JobGrid normalizes the location, workplace, category, and seniority from the source, keeps the employer description separate, and shows the listing was posted on 2026-06-01 and last checked on 2026-06-02. The public application path sends candidates to the original page with non-personal referral parameters. This listing is part of JobGrid's Empleos remotos de IA en páginas de empresas.
- Remote, Brazil; workplace: Remote; seniority: Senior.
- Category: IT, subcategory: DevOps / SRE.
- Salary is not listed in the provided payload.
- JobGrid uses structured source facts only and preserves the employer description separately from the publisher value text.
We are looking for an experienced Azure DevOps Engineer to support a large-scale modernization initiative focused on migrating legacy systems into cloud-native microservices.
You will play a critical role in enabling engineering teams by building and maintaining scalable cloud infrastructure, CI/CD pipelines, automation processes, and development workflows that support modern software delivery.
This role is ideal for someone who enjoys improving developer productivity, automating processes, and working closely with engineering teams in cloud-first environments.
Key Responsibilities:
- Design, build, and maintain Azure-based cloud infrastructure
- Develop and optimize CI/CD pipelines for multiple engineering squads
- Support cloud-native application deployments and automation
- Improve software delivery processes and engineering efficiency
- Collaborate with developers, architects, and technical leadership
- Monitor, troubleshoot, and optimize cloud environments
- Implement infrastructure-as-code and automation best practices
- Support security, reliability, and scalability initiatives
Must-Have:
- 5+ years of DevOps, Cloud Engineering, or Platform Engineering experience
- Strong hands-on experience with:
- Microsoft Azure
- CI/CD pipelines
- Infrastructure Automation
- Experience supporting production cloud environments
- Experience with Infrastructure as Code (IaC)
- Experience working with cloud-native applications
- Strong troubleshooting and problem-solving skills
- Experience collaborating with software engineering teams
- Experience working in Agile environments
- Experience supporting microservices-based architectures
- Experience working with containerized environments
- Experience with Kubernetes
- Experience building scalable deployment pipelines
- Experience supporting distributed engineering teams
- Experience using AI-assisted development or engineering workflows
- Microsoft Azure
- CI/CD pipelines
- Infrastructure Automation
- Experience supporting production cloud environments
- Experience with Infrastructure as Code (IaC)
- Experience working with cloud-native applications
- Strong troubleshooting and problem-solving skills
- Experience collaborating with software engineering teams
- Experience working in Agile environments
- Experience supporting microservices-based architectures
- Experience working with containerized environments
- Experience with Kubernetes
- Experience building scalable deployment pipelines
- Experience supporting distributed engineering teams
- Experience using AI-assisted development or engineering workflows
Nice to have
- Experience with Generative AI technologies
- Experience supporting AI-driven engineering teams
- Experience with .NET and Angular environments
- Experience working in consulting or staff augmentation models
- Valid US visa
- Willingness to travel to the US if required