Senior AI Platform Engineer - Deployment, Cloud & Kubernetes

QuantumBlack, AI by McKinsey; New York (NY); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Comprehensive benefits package

Learning and mentorship opportunities

Diverse global community

Job summary

QuantumBlack, AI by McKinsey is seeking a Software/Platform Engineer based in New York to deploy and scale their next-generation AI platform. You will bridge the gap between software engineering and infrastructure, enabling organizations to implement AI-driven solutions effectively.

This role requires a Bachelor’s or Master’s degree in a relevant field and a minimum of 4 years of experience. The position offers a competitive salary, career growth opportunities, and a comprehensive benefits package.

Qualifications

• 4+ years of hands-on experience as a Software or Platform Engineer.
• Experience designing, deploying, and managing cloud-based systems.
• Strong understanding of data architectures and platform design.

Responsibilities

• Deploy and scale an AI platform with advanced analytics and machine learning.
• Own the platform delivery lifecycle and bridge product engineering.
• Ensure environments are operational and troubleshoot end-to-end issues.

Skills

Software Engineering Fundamentals

Python Proficiency

Kubernetes Expertise

Cloud Systems Management

CI/CD Pipelines

Problem-Solving Skills

Education

Bachelor's or Master's degree in relevant field

Tools

Docker

AWS

Azure

GCP

Terraform

Ansible

Job description

QuantumBlack, AI by McKinsey is seeking a Software/Platform Engineer based in New York to deploy and scale their next-generation AI platform. You will bridge the gap between software engineering and infrastructure, enabling organizations to implement AI-driven solutions effectively.

This role requires a Bachelor’s or Master’s degree in a relevant field and a minimum of 4 years of experience. The position offers a competitive salary, career growth opportunities, and a comprehensive benefits package.