Platform Engineer

Capgemini•Bellevue, WA

2d•Hybrid

About The Position

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Job Description We are hiring a Platform Engineer for a fulltime, hybrid role.

Requirements

Senior engineer with 10 plus years relevant experience
Strong Hand’s on Python experience
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.
Ensure seamless integration of infrastructure components with CI/CD pipelines.
Design, deploy, and maintain scalable and reliable infrastructure for Data platforms.
Implement containerization (Docker) and orchestration (Kubernetes) solutions for deploying and managing Data applications.

Responsibilities

Ensure containerized applications are secure, scalable, and easily deployable.
Establish monitoring and alerting systems to ensure the health and performance of Data platforms.
Implement security best practices for Data platforms, ensuring data privacy and compliance with industry standards.
Implement continuous integration and continuous deployment (CI/CD) pipelines for efficient software delivery.
Abstract infrastructure complexity for developers
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.
Ensure seamless integration of infrastructure components with CI/CD pipelines.
Design, deploy, and maintain scalable and reliable infrastructure for Data platforms.
Implement containerization (Docker) and orchestration (Kubernetes) solutions for deploying and managing Data applications.

Benefits

Flexible work
Healthcare including dental, vision, mental health, and well-being programs
Financial well-being programs such as 401(k) and Employee Share Ownership Plan
Paid time off and paid holidays
Paid parental leave
Family building benefits like adoption assistance, surrogacy, and cryopreservation
Social well-being benefits like subsidized back-up child/elder care and tutoring
Mentoring, coaching and learning programs
Employee Resource Groups
Disaster Relief