. **Responsibilities and Assignments** * Create and manage AWS infrastructure resources using Infrastructure as Code (IaC) practices; * Create, evolve, and maintain CI/CD pipelines, ensuring automation, traceability, security, and quality in deliveries; * Participate in defining and reviewing application architectures, contributing best practices for performance, security, and scalability; * Monitor deliveries and environment operations, ensuring availability, continuity, and performance; * Investigate, propose, and implement standards and automations for continuous improvement of environments and operational efficiency; * Act as a bridge between technical teams and business areas, participating in the investigation, understanding, and planning of new technical requirements, aligning expectations with clients and stakeholders; * Contribute to projects involving Machine Learning operations (MLOps) in production environments. **Requirements and Qualifications** * Bachelor’s degree or postgraduate degree (specialization, master’s, or doctoral) in Information Technology or related field; * Proven professional experience in the technology field (CTPS and PJ); * Demonstrated experience creating, evolving, and delivering CI/CD pipelines, with focus on AWS environments; * Experience in MLOps projects, especially with Amazon SageMaker, ECR, Step Functions, and Lambda; * Solid knowledge of AWS services such as EC2, S3, IAM, CloudWatch, as well as CloudFormation or Terraform; * Experience with Containers (Docker and Kubernetes) in production environments; * Knowledge of the Linux operating system, including security, troubleshooting, metric collection, and performance analysis; * Experience with Infrastructure as Code using Terraform and Ansible; * Proficiency with monitoring and observability tools, especially CloudWatch; * Strong communication skills, collaborative attitude, and solution-oriented mindset, with ability to work alongside technical teams and business areas; * Desirable: Knowledge of at least one programming language, such as Python, Bash, or similar; Familiarity with MLOps tools and practices, such as MLflow, DVC, or production Machine Learning pipelines. Don’t meet all the requirements for this position? That’s okay! At Compass UOL, we encourage the continuous development of emerging talent and transform challenges into opportunities. **Additional Information** #remote "remote" Compass UOL is a global company that is part of AI/R, which drives organizational transformation through Artificial Intelligence, Generative AI, and Digital Technologies. We design and build digitally native platforms using cutting-edge technologies to help companies innovate, transform businesses, and drive success in their markets. With a focus on attracting and developing top talent, we create opportunities that improve lives and highlight the positive impact of disruptive technologies on society. That’s why our selection process goes beyond technical skills. Our goal is to find unique individuals with the potential to make an extraordinary impact on our clients. We empower talent without borders and promote knowledge and opportunities in the latest market trends, driving significant results. #### **Join us and be part of the AI-driven digital revolution in the technology universe.** #### **HOW OUR SELECTION PROCESS WORKS** #### **1.** **ONLINE APPLICATION** #### **Choose the opportunity that best fits your goals. Remember: having a well-detailed profile with your experiences and knowledge can make all the difference!** #### **2.** **INTERVIEWS** #### **Learn about our culture and company! During interviews, be present and do your best to share your expertise in a chronological and structured way.** #### **3.** **EVALUATION** #### **Our tests and assessments focus on finding talent with the cultural and technical fit for the position applied for.** #### **4.** **FEEDBACK** Wait for our response regardless of the result! We have Gupy platform feedback certification.