Cloud Engineer

Cloud Engineer

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like where youll be supported and inspired by a collaborative community of colleagues around the world and where youll be able to reimagine whats possible. Join us and help the worlds leading organizations unlock the value of technology and build a more sustainable more inclusive world.

Your Role

As a Cloud Engineer you will design build and support scalable cloud infrastructure solutions primarily on AWS with exposure to Azure and other cloud platforms. You will play a hands-on role in troubleshooting complex issues automating infrastructure and enabling development teams through reliable secure and self-service cloud capabilities. This role blends cloud engineering automation and platform reliability to deliver measurable business impact.

Responsibilities & Scope

• Deliver and support computing services in cloud-based environments such as AWS Azure and Google Cloud
• Actively troubleshoot infrastructure and platform issues providing timely resolutions to business teams
• Design develop and maintain infrastructure-as-code solutions using Terraform CloudFormation and Ansible
• Build automation to create manage and decommission cloud infrastructure in a scalable and secure manner
• Partner with software development teams to provide consumable self-service infrastructure services
• Accelerate application delivery by creating resilient reusable infrastructure patterns aligned with enterprise standards
• Collaborate with product owners tech leads and cross-functional teams to define requirements and deliver end-to-end solutions
• Automate unit and integration test cases and continuously enhance platforms through automation
• Define and document platform standards based on cost capacity and performance considerations
• Apply infrastructure fundamentals across Linux/Unix systems networking databases and security
• Leverage scripting and programming languages to enhance platform engineering repositories and tooling
• Implement and support logging monitoring alerting and observability solutions including Cribl log piping
• Embed security best practices and DevSecOps principles throughout the cloud lifecycle

Your Profile

• Hands-on experience as a Cloud Engineer with strong expertise in AWS; Azure knowledge is highly desirable
• Proficiency in scripting and programming languages such as Python Shell/PowerShell Groovy or modern languages
• Experience with infrastructure automation frameworks including Terraform CloudFormation and Ansible
• Solid understanding of Linux/Unix systems networking fundamentals databases and APIs
• Familiarity with containers (Docker Kubernetes) CI/CD pipelines DevOps practices and cloud security principles

What youll love:

• Access continuous learning through internal academies certifications and mentorship
• Explore career mobility across roles industries and geographies
• Be part of a school of excellence where your skills resonate beyond the company

About Capgemini

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 340000 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 solutionsleveragingstrengths from strategy and design to engineering all fueled by its market leading capabilities in AI generative AI cloud and data combined with its deep industryexpertiseand partner ecosystem.

At CapgeminiMexico 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 applicationswelcomeand will be considered based on merit against the job and/or experience for the position.