# Sr. Staff Cloud Engineer (Cloud Asset Intelligence)

**Company**: Capital One
**Experience**: senior
**Job type**: full-time
**Salary**: $286,200 - $392,000
**Category**: Engineering
**Industry**: Finance

**Apply**: https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/McLean-VA/Sr-Staff-Cloud-Engineer--Cloud-Asset-Intelligence-_R1003165-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_9a176948-0ff

## Description

We are seeking a Senior Staff Cloud Engineer to lead and shape our Asset and Cloud inventory, intelligence, and insights missions. As a Cloud Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.

**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

- Handle several projects simultaneously, balancing your time to maximize impact

- Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community

- Drive modernization of monolithic systems into microservice architectures and event-driven platforms

- Collaborate with senior engineering and architecture leaders to define long-term platform strategy and API standards

- Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers.

- 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 the scalability, reliability, and efficiency of cloud platforms and engineering workflows

**Requirements:**

- 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

**Preferred Qualifications:**

- Master’s Degree in Computer Science or Software Engineering

- 12+ years of experience in coding with at least one of the following: Java, Scala, Python, Go, or Node.js

- 8+ years of experience with public cloud platforms (AWS, GCP, Azure, OCI)

- 5+ years of experience architecting multi-tenant platforms including isolation, access controls, quota management, and multi-region operations

- 4+ years of hands-on experience using knowledge graphs and graph query languages for asset discovery and topology mapping

- Experience with asset management concepts including inventory discovery, telemetry aggregation, CMDBs, and state tracking across multi-cloud environments

- Experience building AI-native platforms or integrating AI capabilities into operational tools to automate intelligence and actionable insights

- One or more active certifications related to cloud infrastructure management or security

- Experience in optimizing complex, high-scale distributed systems and cloud-native architectures (ex: Kubernetes, Serverless)

- Experience designing and supporting cloud networking, security and identity integrations

- Experience influencing technology strategy at the portfolio or business unit level

- Experience defining and tracking engineering OKRs that align to business outcomes

- Experience shaping organization design and talent strategy for scaling engineering capabilities

- Experience with strategic and executive-level communication to influence technology decisions within the organization

- Experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment and production support

- Experience acting as a leader of leaders and driving professional development within technical teams

- Expertise in the strategic application of agentic AI coding tools to solve systemic development challenges.

- Experience with risk management and operational excellence within high risk/high severity incident environment

- Experience mentoring senior engineers and driving professional development within technical teams

- Experience leading cross-domain architectural reviews or establishing coding and design standards

**Salary Information:** The minimum and maximum full-time annual salaries for this role are: Chicago, IL: $286,200 - $326,700 McLean, VA: $314,800 - $359,300 New York, NY: $343,400 - $392,000 Plano, TX: $286,200 - $326,700 Richmond, VA: $286,200 - $326,700 San Francisco, CA: $343,400 - $392,000

**Benefits:** Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

## Skills

### Required
- Cloud Engineering
- Software Engineering
- Computer Science

### Nice to have
- Java
- Scala
- Python
- Go
- Node.js
- AWS
- GCP
- Azure
- OCI
- Kubernetes
- Serverless

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Source: [Apply at capitalone.wd12.myworkdayjobs.com](https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/McLean-VA/Sr-Staff-Cloud-Engineer--Cloud-Asset-Intelligence-_R1003165-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)