Azure DevOps Engineer (Cloud & AI Delivery)
About the role
Join Our Team
Oowlish, one of Latin America's rapidly expanding software development companies, is seeking experienced technology professionals to enhance our diverse and vibrant team.
As a valued member of Oowlish, you will collaborate with premier clients from the United States and Europe, contributing to pioneering digital solutions. Our commitment to creating a nurturing work environment is recognized by our certification as a Great Place to Work, where you will have opportunities for professional development, growth, and a chance to make a significant international impact.
We offer the convenience of remote work, allowing you to craft a work-life balance that suits your personal and professional needs. We're looking for candidates who are passionate about technology, proficient in English, and excited to engage in remote collaboration for a worldwide presence.
About the Role:
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
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
Benefits & Perks:
Home office;
Competitive compensation based on experience;
Career plans to allow for extensive growth in the company;
International Projects;
Oowlish English Program (Technical and Conversational);
Oowlish Fitness with Total Pass;
Games and Competitions;
Questions about this role
How do I apply to this Azure DevOps Engineer (Cloud & AI Delivery) role at oowlish?
Click "Apply with AI Applyd" above. We auto-fill the application from your resume and answer screening questions in seconds. No copy and paste, no juggling tabs.
What's the typical salary for DevOps / SRE in Brazil?
Compensation for DevOps / SRE roles in Brazil varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our DevOps / SRE hub for Brazil medians across recent openings.
How fast does AI Applyd auto-apply?
Most applications complete in under 90 seconds. You can track the status in your dashboard and watch the screenshot proof land the moment the application submits.
What ATS does oowlish use?
AI Applyd supports Greenhouse, Lever, Ashby, Workday, iCIMS, SmartRecruiters, LinkedIn Easy Apply, and most other ATS platforms. If we can submit through the platform, we do.
Want AI Applyd to auto-apply to roles like this?
We tailor your resume per posting, fill the forms, and track replies for you.