Platform AWS Engineer

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries.
Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

As an AWS Platform Engineer, your primary duties will involve the design, deployment, and maintenance of secure, scalable, and highly available infrastructure on AWS. You will automate solutions, integrate diverse services, and coordinate efficiently with development and cross-functional teams. Key responsibilities include: 

Design and implement AWS cloud infrastructure leveraging EC2, RDS, Kafka, Cognito, Lambda functions, and Secrets Manager. 

Automate provisioning and configuration of infrastructure using Terraform, ensuring consistency and reliability across environments. 

Develop Python scripts and tooling to support cloud automation, monitoring, integration, and operational workflows. 

Build, deploy, and maintain AWS Lambda functions for event-driven applications and serverless architectures. 

Implement robust secrets management practices using AWS Secrets Manager or alternative secure vaults to safeguard critical credentials. 

Collaborate within version control systems using GitHub, including managing pull requests, code reviews, and CI/CD pipelines. 

Track and manage tasks, user stories, and project progress with Jira for agile development and effective project management. 

Document infrastructure designs, operating procedures, processes, and runbooks within Confluence to ensure transparency and knowledge sharing. 

Monitor cloud resources and troubleshoot performance, availability, and security issues, providing timely resolutions. 

• Bachelor´s Degree in Computer Sciences or equivalent.
• 7+ years of professional experience in cloud engineering or platform engineering, with a strong AWS focus. 
• Proven proficiency with AWS ECS, Terraform, and CI/CD.
• Python programming experience for automation and scripting.
• Solid Cloud Security Fundamentals (IAM, Secrets Manager, Compliance, Best Practices)
• Hands-on experience using GitHub for version control, code management, and CI/CD pipeline integration. 
• Practical knowledge of Jira for agile project tracking and Confluence for documentation, knowledge sharing, and process management. 
• Good understanding of EC2, Kafka, Cognito, Lambda Functions.
• Excellent English communication, collaboration, and problem-solving abilities. 

· Excellent compensation and benefits
· Flexibility and balance with your personal and professional life.
· Career path, trainings and real growth opportunities
· Engaging and challenging projects.
· Inclusive and Collaborative Culture
· Open and Effective management.
 
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
 
At Capgemini Mexico, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications welcome and will be considered based on merit against the job and/or experience for the position.