ANALISTA DEVOPS

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an ANALISTA DEVOPS based in Brazil.

This role offers the opportunity to drive the evolution of modern technology platforms by combining DevOps, cloud infrastructure, automation, and artificial intelligence practices.

You will contribute to building scalable, resilient, and intelligent environments that support both traditional applications and AI-driven solutions.

The position focuses on improving delivery processes, implementing automation strategies, and ensuring reliable technology operations.

You will collaborate with development, data, and AI teams to create efficient, secure, and high-performing platforms.

This is an opportunity for professionals passionate about cloud technologies, MLOps, and innovation in infrastructure engineering.

Your expertise will directly impact platform reliability, operational efficiency, and the adoption of emerging technologies.

Accountabilities

• Lead DevOps, automation, and MLOps strategies to support scalable and intelligent technology environments.
• Design, implement, and improve CI/CD pipelines for applications and AI model deployment workflows.
• Manage and optimize cloud environments across platforms such as AWS, Azure, or GCP.
• Implement Infrastructure as Code (IaC) practices using modern automation tools.
• Build and maintain data pipelines and MLOps workflows for model deployment and lifecycle management.
• Ensure comprehensive observability through logs, metrics, tracing, and AI model monitoring solutions.
• Automate operational processes to improve efficiency, reliability, and scalability.
• Collaborate with software engineering, data, and AI teams to integrate innovative solutions into production environments.
• Implement DevSecOps practices to strengthen security throughout development and deployment processes.
• Troubleshoot complex technical issues and support incident analysis in critical environments.
• Contribute to AI model governance, lifecycle management, and continuous improvement initiatives.
  
  

Requirements

• Bachelor’s degree in Information Technology, Engineering, Computer Science, or related fields.
• Solid professional experience in DevOps, SRE, or similar infrastructure engineering roles.
• Strong experience working with cloud platforms such as AWS, Azure, or GCP.
• Advanced knowledge of CI/CD tools and practices, including GitLab CI, Jenkins, or GitHub Actions.
• Experience with containerization technologies such as Docker and Kubernetes.
• Knowledge of Infrastructure as Code tools such as Terraform, Ansible, or similar solutions.
• Strong experience with Linux environments, networking concepts, and system administration.
• Experience implementing observability solutions using tools such as Prometheus, Grafana, ELK, or equivalent platforms.
• Experience with version control systems, especially Git.
• Knowledge of data pipelines, MLOps practices, and machine learning deployment processes is desirable.
• Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar technologies is a plus.
• Experience with Python automation, ETL/ELT processes, and AI model monitoring is highly valued.
• Knowledge of cloud AI platforms such as SageMaker, Vertex AI, or Azure Machine Learning is a differentiator.
• Familiarity with Generative AI, LLM applications, Kubernetes for ML workloads, SRE practices, messaging systems, FinOps, and DevSecOps applied to AI is a plus.
• Relevant certifications in cloud, Kubernetes, AI, or related technologies are desirable.
  
  

Benefits

• Fully remote work opportunity.
• Transportation allowance.
• Group life insurance.
• Meal or food allowance.
• Health insurance.
• Dental insurance.
• Exclusive company discounts and partner benefits.
• Birthday day off.
• TotalPass wellness program.
• Access to internal learning and training platforms.
• Inclusion support program.
• Pregnancy support benefit program.
• Educational partnerships with discounts at universities and learning institutions.
• Pharmacy discount program.
• Access to exclusive discounts for technology, travel, language learning, and healthcare services.
• Opportunity to work in a collaborative environment focused on innovation, digital transformation, and continuous learning.
  
  

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.