. **Responsibilities and Assignments** * Create, provision, and evolve AWS infrastructure resources using Infrastructure-as-Code (IaC) practices to ensure standardization, security, and scalability of environments; * Develop, implement, and evolve CI/CD pipelines, ensuring automation, traceability, security, and efficiency in deliveries; * Participate in reviewing and evolving application architecture, contributing best practices for performance, availability, continuity, security, and scalability; * Support deliveries and ensure environment sustainability, promoting operational stability and adherence to DevOps best practices; * Investigate, propose, and implement improvements, automations, and infrastructure and operations standards aimed at operational efficiency and environment standardization; * Work on MLOps initiatives, supporting the operationalization and evolution of Machine Learning pipelines in production; * Participate in investigating, understanding, and planning new technical requirements, promoting alignment between business needs and technological solutions; * Collaborate with multidisciplinary teams, maintaining clear communication, a collaborative attitude, and a problem-solving focus. **Requirements and Qualifications** * Solid experience with AWS, including services such as EC2, S3, IAM, CloudWatch, Lambda, and SageMaker; * Experience creating, evolving, and delivering CI/CD pipelines in AWS environments; * Experience with IaC, especially using Terraform, Ansible, and/or CloudFormation; * Knowledge and experience with Containers (Docker and Kubernetes) in production environments; * Solid Linux knowledge, including security, troubleshooting, metric collection, and performance analysis; * Experience with monitoring and observability, especially using AWS CloudWatch; * Experience in MLOps, including hands-on work with Amazon SageMaker, automations, and operation of Machine Learning pipelines; * Experience with AWS services focused on automation and orchestration, such as Lambda, ECR, and Step Functions; * Desirable knowledge of Python, Bash, or similar languages; * Advantage: familiarity with MLflow, DVC, or production Machine Learning pipelines; * Mid-to-Senior level profile, with consolidated experience in Information Technology; * Bachelor's degree in Information Technology or postgraduate studies in IT. Compass UOL is a global firm and part of the AI Revolution Company, together transforming organizations using Artificial Intelligence, Generative AI, and other of today’s most advanced technologies. We equip our team with proprietary and external AI\-driven tools to design and build digital\-native platforms, integrating cutting\-edge technologies and enabling companies to innovate, transform their businesses, and drive success in their markets. To achieve this, we attract and develop the best talent, creating opportunities that enhance people’s lives and highlight the positive impact of disruptive technologies. We empower borderless talent and promote knowledge and opportunities in the latest market trends, driving significant personal and professional growth. **Join us and be part of the AI\-driven revolution.**
João Silva
Indeed · HR
João Silva
Indeed · HR
