Senior Cloud Engineer: Asset Intelligence & AI-Native Platform

Capital One; New York (NY); On-site; USD 343,000 - 392,000; Full time

Job summary

Capital One is seeking a Senior Staff Cloud Engineer to drive modernization and AI-native solutions across enterprise cloud platforms. You will shape asset and cloud inventory intelligence, mentor engineers, and lead cross-divisional initiatives delivering scalable, event-driven architectures.

The role demands deep knowledge of cloud-native designs, data-driven decision making, and strong collaboration with architecture leaders.

Qualifications

• Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
• 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
• Collaborate with senior engineering and architecture leaders to define long-term platform strategy and API standards
• Lead cross-divisional projects and impacts that promote technological best practices and enhancements
• Lead the adoption and responsible use of emerging AI and automation capabilities to improve scalability, reliability, and efficiency of cloud platforms

Skills

Java

Scala

Python

Go

Node.js

Education

Bachelor's degree in Computer Science or related field

Master's degree in Computer Science or Software Engineering

Tools

AWS

GCP

Azure

OCI

Kubernetes

Serverless

Job description

Capital One is seeking a Senior Staff Cloud Engineer to drive modernization and AI-native solutions across enterprise cloud platforms. You will shape asset and cloud inventory intelligence, mentor engineers, and lead cross-divisional initiatives delivering scalable, event-driven architectures.

The role demands deep knowledge of cloud-native designs, data-driven decision making, and strong collaboration with architecture leaders.