AWS DevOps Engineer – Senior

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Design, provision, and enhance infrastructure resources on AWS, utilizing 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 the review and enhancement of application architecture, contributing to best practices in performance, availability, continuity, security, and scalability;

• Monitor deliveries and ensure the support of environments, promoting operational stability and adherence to best DevOps practices;

• Investigate, propose, and implement improvements, automations, and standards in infrastructure and operations, aimed at operational efficiency and environment standardization;

• Engage in MLOps initiatives, supporting the operationalization and evolution of Machine Learning pipelines in production;

• Take part in the investigation, understanding, and planning of new technical demands, promoting alignment between business needs and technological solutions;

• Collaborate with multidisciplinary teams, maintaining clear communication, a collaborative stance, and a focus on problem-solving.

⛳️ Requirements

• Solid experience with AWS, including services such as EC2, S3, IAM, CloudWatch, Lambda, and SageMaker;

• Experience in creating, evolving, and delivering CI/CD pipelines in AWS environments;

• Proficiency in Infrastructure as Code (IaC), especially using Terraform, Ansible, and/or CloudFormation;

• Knowledge and experience with Containers (Docker and Kubernetes) in production environments;

• Strong knowledge of Linux, including security, troubleshooting, metrics collection, and performance analysis;

• Experience with monitoring and observability, particularly using AWS CloudWatch;

• Background in MLOps, including experience 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 in Python, Bash, or similar languages;

• Advantageous: familiarity with MLflow, DVC, or Machine Learning pipelines in production;

• Mid/Senior profile, with solid experience in Information Technology;

• Bachelor's degree in Information Technology or a postgraduate degree in the IT field.

🏝️ Benefits

• Competitive salary and performance-based bonuses;

• Opportunities for professional development and training;

• Flexible working hours and remote work options;

• Health and wellness programs;

• Collaborative and inclusive work environment.