Senior AI Platform Deployment Engineer

McKinsey & Company; Boston (MA); On-site; USD 175,500 - 180,000; Full time

Benefits offered by this job

Comprehensive benefits package

Mentorship and development opportunities

Global community support

Job summary

McKinsey & Company is seeking a Platform Engineer to deploy an AI platform that connects strategy to execution through advanced analytics. You will manage production-grade systems across cloud environments like AWS and Azure.

The role requires significant experience with Kubernetes and cloud systems, along with a collaborative spirit to drive successful AI operations. The position offers a competitive salary and unparalleled opportunities for professional growth.

Qualifications

• 4+ years of hands-on experience as a Software or Platform Engineer.
• Experience designing, deploying, and managing cloud-based systems.
• Familiarity with CI/CD pipelines and Infrastructure as Code.

Responsibilities

• Deploy and configure production-grade systems across cloud infrastructures.
• Troubleshoot issues end-to-end to ensure platforms are production-ready.
• Collaborate with engineers and product teams for platform deliveries.

Skills

Proficiency in Python

Experience with Kubernetes

Strong problem-solving skills

Education

Bachelor’s or Master’s degree in computer science or related field

Tools

Docker

AWS

Terraform

Job description

McKinsey & Company is seeking a Platform Engineer to deploy an AI platform that connects strategy to execution through advanced analytics. You will manage production-grade systems across cloud environments like AWS and Azure.

The role requires significant experience with Kubernetes and cloud systems, along with a collaborative spirit to drive successful AI operations. The position offers a competitive salary and unparalleled opportunities for professional growth.