Senior AI Platform Deployment Engineer

McKinsey & Company; Washington (District of Columbia); On-site; USD 175,500 - 180,000; Full time

Benefits offered by this job

Comprehensive benefits package

Continuous learning and apprenticeship

Global community

Voice that matters

Job summary

McKinsey & Company is seeking a Platform Engineer to deploy and scale advanced AI platforms. The role involves working on cloud infrastructures like AWS and Azure, and requires strong engineering fundamentals, particularly in Python and Kubernetes.

As part of QuantumBlack, you'll collaborate with diverse teams and contribute to the development of AI-driven workflows. This position is located in Washington D.C. and offers a competitive salary along with world-class benefits.

Qualifications

• 4+ years of hands-on experience as a Software or Platform Engineer.
• Experience designing, deploying, and managing cloud-based systems.
• Familiarity with AI platform concepts is a plus.

Responsibilities

• Deploy and configure production-grade systems across cloud infrastructures.
• Troubleshoot issues to ensure platforms are production-ready.
• Guide adoption through practical best practices.

Skills

Proficiency in Python

Kubernetes expertise

Cloud platform deployment experience

CI/CD pipelines

Strong problem-solving skills

Education

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

Tools

Docker

Terraform

Prometheus

Grafana

Job description

McKinsey & Company is seeking a Platform Engineer to deploy and scale advanced AI platforms. The role involves working on cloud infrastructures like AWS and Azure, and requires strong engineering fundamentals, particularly in Python and Kubernetes.

As part of QuantumBlack, you'll collaborate with diverse teams and contribute to the development of AI-driven workflows. This position is located in Washington D.C. and offers a competitive salary along with world-class benefits.