Azure & Databricks DevOps Engineer | Mid

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Azure & Databricks DevOps Engineer | Mid based in Brazil. This role offers the opportunity to build and optimize cloud infrastructure supporting modern data and technology environments.

You will design and maintain CI/CD pipelines while automating infrastructure provisioning and deployment processes.

The position combines Azure DevOps, Databricks, Infrastructure as Code, cloud operations, and infrastructure automation.

You will contribute to reliable, secure, scalable, and resilient environments while monitoring performance and availability.

The role involves close collaboration with development and operations teams to improve delivery processes and remove technical challenges.

You will also support containerization, orchestration, security, vulnerability management, and compliance initiatives.

This is a strong opportunity for a mid-level DevOps professional seeking to deepen their expertise in cloud, data platforms, and automation.

Accountabilities

• Build, maintain, and optimize CI/CD pipelines using Azure DevOps to support efficient and reliable software delivery.
• Automate infrastructure provisioning, deployment processes, and recurring operational activities.
• Implement and maintain Infrastructure as Code practices to improve consistency, scalability, and repeatability across environments.
• Support the management, optimization, and continuous improvement of cloud environments and resources.
• Work with Databricks and automate processes supporting data and technology workloads.
• Support container management and orchestration processes where required.
• Monitor the performance, availability, scalability, and overall health of cloud and infrastructure environments.
• Implement security practices, vulnerability analysis, and compliance measures across infrastructure and deployment processes.
• Collaborate closely with development and operations teams to improve delivery workflows and resolve technical challenges.
• Investigate infrastructure and deployment issues and contribute to solutions that improve reliability and resilience.
• Identify opportunities for continuous improvement, automation, and operational efficiency.
• Contribute to the evolution of resilient, scalable, secure, and highly automated infrastructure environments.

Requirements

• Professional experience working in DevOps, at a mid-level or senior level.
• Hands-on experience building and maintaining CI/CD pipelines, particularly with Azure DevOps.
• Practical experience working with Databricks.
• Experience automating infrastructure and operational processes.
• Knowledge of cloud environments, including resource provisioning and management.
• Understanding of Infrastructure as Code (IaC) concepts and practices.
• Knowledge of monitoring, security, availability, and infrastructure reliability practices.
• Ability to work independently, take ownership of activities, and troubleshoot problems with autonomy.
• Strong communication and collaboration skills when working with development and operations teams.
• Experience with containers and orchestration is desirable.
• Knowledge of observability, monitoring, and infrastructure security practices is a plus.
• Experience working with highly available and scalable environments is desirable.
• Strong analytical and problem-solving skills, with a continuous-improvement mindset.
• Ability to adapt to evolving technologies and contribute to modern cloud and DevOps practices.

Benefits

• Remote work model.
• Opportunity to work with Azure DevOps, Databricks, cloud infrastructure, automation, and Infrastructure as Code.
• Exposure to modern AI and technology-driven environments.
• Opportunity to work on scalable, resilient, and high-availability infrastructure.
• Collaboration with multidisciplinary development and operations teams.
• Professional growth through continuous learning and exposure to evolving technology trends.
• Opportunity to contribute to automation, cloud optimization, security, and digital transformation initiatives.

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.