Senior Cloud Engineer, Asset Intelligence & AI

Capital One; San Francisco (CA); On-site; USD 343,000 - 392,000; Full time

Job summary

Capital One is seeking a Sr. Staff Cloud Engineer to lead Asset and Cloud inventory, intelligence, and insights, shaping AI-native solutions across divisions.

You will drive modernization to microservices and event-driven platforms, mentor engineers, and collaborate with architecture leaders to set long-term platform strategy. The role requires deep cloud, distributed systems, and security expertise, with responsibility for multi-cloud integration and scalable, high-performance design across

Qualifications

• Bachelor's degree in Computer Science or related quantitative field.
• At least 9 years of experience in software engineering.
• At least 6 years of experience in cloud engineering.

Responsibilities

• Articulate and evangelize a bold technical vision for your domain.
• Decompose complex problems into practical and operational solutions.
• Ensure the quality of technical design and implementation.
• Serve as an authoritative expert on non-functional system characteristics such as performance, scalability and operability.
• Continue learning and injecting advanced technical knowledge into our community.
• Lead cross-divisional projects and impacts that promote best practices.

Skills

Java

Scala

Python

Go

Node.js

AWS

GCP

Azure

Kubernetes

Serverless

Knowledge graphs

Education

Bachelor's Degree in Computer Science or related field

Master’s Degree in Computer Science or Software Engineering

Tools

Kubernetes

Job description

Capital One is seeking a Sr. Staff Cloud Engineer to lead Asset and Cloud inventory, intelligence, and insights, shaping AI-native solutions across divisions.

You will drive modernization to microservices and event-driven platforms, mentor engineers, and collaborate with architecture leaders to set long-term platform strategy. The role requires deep cloud, distributed systems, and security expertise, with responsibility for multi-cloud integration and scalable, high-performance design across