Platform Engineer
@
Sogeti
Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale.
AWS
Azure
GCP
Kubernetes
Terraform
Docker
Sogeti
Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation.
What you'll do:
- Design, deploy, and manage infrastructure solutions using Terraform, ensuring scalability, security, and reliability.
- Develop and maintain infrastructure as code scripts to automate the provisioning and configuration of resources.
- Ensure version-controlled, repeatable deployments using IaC best practices.
- Implement and manage Kubernetes clusters for containerized applications.
- Collaborate with development teams to deploy, scale, and optimize applications in Kubernetes environments.
- Leverage scripting languages (e.g Python) to automate routine tasks and streamline workflows.
- Implement continuous integration and continuous deployment (CI/CD) pipelines for efficient software delivery.
- Ensure seamless integration of infrastructure components with CI/CD pipelines.
- Design, deploy, and maintain scalable and reliable infrastructure for AI/ML platforms.
- Implement containerization (Docker) and orchestration (Kubernetes) solutions for deploying and managing AI/ML applications.
- Ensure containerized applications are secure, scalable, and easily deployable.
- Enable seamless integration of AI/ML models into the platform, ensuring data pipelines are efficient and reliable.
- Establish monitoring and alerting systems to ensure the health and performance of AI/ML platforms.
- Implement security best practices for AI/ML platforms, ensuring data privacy and compliance with industry standards
What you'll do:
- Design, deploy, and manage infrastructure solutions using Terraform, ensuring scalability, security, and reliability.
- Develop and maintain infrastructure as code scripts to automate the provisioning and configuration of resources.
- Ensure version-controlled, repeatable deployments using IaC best practices.
- Implement and manage Kubernetes clusters for containerized applications.
- Collaborate with development teams to deploy, scale, and optimize applications in Kubernetes environments.
- Leverage scripting languages (e.g Python) to automate routine tasks and streamline workflows.
- Implement continuous integration and continuous deployment (CI/CD) pipelines for efficient software delivery.
- Ensure seamless integration of infrastructure components with CI/CD pipelines.
- Design, deploy, and maintain scalable and reliable infrastructure for AI/ML platforms.
- Implement containerization (Docker) and orchestration (Kubernetes) solutions for deploying and managing AI/ML applications.
- Ensure containerized applications are secure, scalable, and easily deployable.
- Enable seamless integration of AI/ML models into the platform, ensuring data pipelines are efficient and reliable.
- Establish monitoring and alerting systems to ensure the health and performance of AI/ML platforms.
- Implement security best practices for AI/ML platforms, ensuring data privacy and compliance with industry standards
