Senior AI Platform Engineer - Deployment, Cloud & Kubernetes

QuantumBlack, AI by McKinsey; San Francisco (CA); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Competitive salary

Comprehensive benefits package

Continuous learning programs

Job summary

QuantumBlack, AI by McKinsey is seeking a Platform Engineer in San Francisco to deploy and scale cutting-edge AI platforms. This role requires a blend of software engineering and cloud infrastructure expertise, supporting complex AI workflows and enhancing client outcomes.

The ideal candidate will have 4+ years of experience in platform engineering, proficiency in Python, and a strong grasp of Kubernetes. The position offers a competitive salary, a global community, and opportunities for continuous learning.

Qualifications

• 4+ years of experience in Software or Platform Engineering with platforms.
• Strong engineering fundamentals in Python and full-stack development.
• Experience with cloud systems including Docker and Kubernetes.

Responsibilities

• Deploy and scale AI platforms with advanced analytics.
• Manage the platform delivery lifecycle across cloud infrastructures.
• Collaborate with engineers and data scientists on AI initiatives.

Skills

Python

Kubernetes

Cloud Systems (AWS/Azure/GCP)

Full-stack Development

CI/CD Pipelines

Problem-Solving

Education

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

Tools

Docker

Terraform

Prometheus

Job description

QuantumBlack, AI by McKinsey is seeking a Platform Engineer in San Francisco to deploy and scale cutting-edge AI platforms. This role requires a blend of software engineering and cloud infrastructure expertise, supporting complex AI workflows and enhancing client outcomes.

The ideal candidate will have 4+ years of experience in platform engineering, proficiency in Python, and a strong grasp of Kubernetes. The position offers a competitive salary, a global community, and opportunities for continuous learning.