Senior DevOps (AWS/GCP/Azure) / 100% Remote / USD payment...

Location

Brasil | Brazil

Job description

About our customer

In Crew we work with different clients around the world. One of our values is to share with our candidates really good opportunities.

In most of the cases, we work with contractor dynamic, USD payment, and remote positions. And in all of the cases, your contract will be directly with the client.

We will consider your experience and contact you to move forward and talk about the best match for you, considering your background, expectations and the caracteristics of our clients.

Can't wait to get to know you!

Job Summary

The ideal candidate should possess extensive multi-cloud experience , particularly in constructing scalable platform components across leading cloud platforms such as AWS, Azure, and GCP. Your contributions will be pivotal in enabling and expanding our cloud solutions, catering to the needs of developers, DevOps professionals, and architects.

Job Responsibilities

• Leverage your expertise to design and implement cutting-edge multi-cloud infrastructure solutions. This involves mastering cloud platforms including AWS, Azure, Google Cloud, and others to create scalable and efficient architectures.
• Engage in collaborative efforts with cross-functional teams comprising developers, DevOps specialists, and architects. You will identify, design, and execute end-to-end cloud-based solutions that meet business needs.
• Spearhead the development and implementation of best practices for deploying cloud platforms. Your role will encompass establishing observability, anticipating future maintenance needs, and creating exceptional customer experiences.
• Take ownership of all code and features throughout their lifecycle, ensuring successful deployment into production environments. Your responsibilities extend to troubleshooting and resolving intricate technical issues related to the platform.
• Embrace the opportunity to explore unknown or bleeding-edge technologies as part of research and development initiatives. Your willingness to tackle technical challenges, even in the absence of comprehensive documentation, is essential.

Basic Qualifications

• Minimum of 5 years as a Cloud Engineer or similar roles.
• Showcase hands-on experience with at least one major cloud provider, with a preference for strong familiarity with AWS. Your skillset should include building and scaling cloud-native tooling and harnessing the full potential of cloud services.
• Demonstrate a proficiency in designing and building cloud-agnostic solutions. Your ability to architect solutions that are platform-agnostic and adaptable is a significant advantage.
• Demonstrate experience in building and deploying Docker containers and orchestrating them using Kubernetes. Holding a CKAD certification is preferred. Alternatively, you should be able to substantiate extensive practical experience in developing applications on Kubernetes.
• Experience with Python programming language. Experience with an API Framework such Django or FastAPI is a big plus.
• Experiences in DevOps tools like Jenkins, Github, VSTS, Gitlab. Azure DevOps is a big plus.
• Experience in IaC, using Terraform or similar tools.
• Highlight your experience working under Agile methodologies, with a preference for SAFe Agile. Your ability to thrive within Agile teams and contribute to iterative development processes is crucial.
• Showcase a strong background in designing and developing scalable APIs using the REST architecture. Your ability to create performant and user-friendly APIs will be pivotal.
• Familiarity with platform engineering concepts. Your understanding of designing and managing large-scale platforms for maximum business value will significantly enhance your contributions.
• Experience with tools like Hashicorp Vault and Jfrog Artifactory is a big plus.
• Although it is not mandatory, it will be considered a valuable asset to have experience or interest in topics such as MLOps, implementing LLM (vector database) capabilities and designing resilient inference systems in high performance infrastructure (GPU++), ML life cycle.

Together, we can shape the future of cloud engineering and revolutionize the way our cloud solutions deliver value. Don't miss out on being a part of our exciting journey – come aboard and let's create a transformative impact together!

Job tags

Salary