Senior AI Platform Engineer - Deployment, Cloud & Kubernetes

QuantumBlack, AI by McKinsey; Washington (District of Columbia); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Comprehensive benefits package

Continuous learning and mentorship

Job summary

QuantumBlack, AI by McKinsey located in Washington, DC is seeking a Software/Platform Engineer to deploy and scale an advanced AI platform. You will ensure that AI capabilities are seamlessly integrated into real-world environments while collaborating with a global community of engineers and data scientists.

Ideal candidates will possess a Bachelor's or Master's in computer science and over 4 years of relevant experience. The role offers excellent career growth 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 a next-generation AI platform.
• Bridge product engineering and client environments.
• Troubleshoot issues end-to-end to ensure production readiness.

Skills

Python

Kubernetes

Cloud-based systems

CI/CD pipelines

Problem-solving

Education

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

Tools

Docker

Terraform

GitHub Actions

Job description

QuantumBlack, AI by McKinsey located in Washington, DC is seeking a Software/Platform Engineer to deploy and scale an advanced AI platform. You will ensure that AI capabilities are seamlessly integrated into real-world environments while collaborating with a global community of engineers and data scientists.

Ideal candidates will possess a Bachelor's or Master's in computer science and over 4 years of relevant experience. The role offers excellent career growth and a comprehensive benefits package.