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Azure DevOps Engineer (Cloud & AI Delivery)

Oowlish Rio de Janeiro 25 candidaturas 6 dias atrás

Salário estimado

R$ 8k - 12k/mês

Pleno CLT
62%

Score de curadoria

Indicador interno 0 a 100: transparência salarial, stack, descrição útil e sinais de qualidade do anúncio. Não é match com o seu CV.

Descrição da vaga

Texto agregado para leitura rápida. Confira sempre a fonte original ao enviar a candidatura.

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;

You can also apply here:

Website: https://www.oowlish.com/work-with-us/

LinkedIn: https://www.linkedin.com/company/oowlish/jobs/

Instagram: https://www.instagram.com/oowlishtechnology/

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.

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