Senior DevOps Consultant

Description

Senior DevOps Consultant Opportunity Information * Engagement Model: Remote * Expected Start Date: Jul/2026 * Estimated Duration: Nov/2027 About the Project Working on a strategic project to develop an intelligent platform for the agribusiness sector, focused on accelerating agricultural credit processes through integration of data technologies, Artificial Intelligence, and advanced monitoring. The professional will be responsible for supporting implementation, automation, and maintenance of the solution's environments, ensuring scalability, security, availability, and operational efficiency throughout the entire development and delivery lifecycle. Key Responsibilities * Design, implement, and maintain continuous integration and delivery (CI/CD) pipelines. * Automate environment provisioning, deployment, and monitoring processes. * Support definition and evolution of cloud infrastructure architecture. * Ensure platform environment availability, performance, and reliability. * Implement observability, monitoring, logging, and incident management practices. * Automate infrastructure and operations processes. * Collaborate with development, architecture, data, and security teams. * Promote adoption of DevOps, DevSecOps, and Infrastructure-as-Code (IaC) best practices. Requirements * Solid experience in DevOps practices and culture. * Knowledge of infrastructure automation and CI/CD pipelines. * Experience with cloud environments (AWS, Azure, or Google Cloud). * Hands-on experience with containers and service orchestration. * Knowledge of production environment monitoring, observability, and management. * Experience automating operational processes. * Familiarity with agile methodologies and collaborative work across multidisciplinary teams. * Analytical, proactive profile with a focus on continuous improvement. Desirable Skills * Kubernetes, Docker, and orchestration platforms. * Terraform, Ansible, or similar Infrastructure-as-Code tools. * GitOps and automated deployment. * Monitoring and observability tools. * DevSecOps practices and pipeline security. * Experience in Big Data, Analytics, or Artificial Intelligence environments. * Knowledge of distributed architectures and microservices.