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Senior Staff Cloud Engineer, Cloud Asset Intelligence
Capital One. Articulate and evangelize a bold technical vision for the domain .
Tech Stack
Tools & technologiesAWSAzureCloudDistributed SystemsGoogle Cloud PlatformJavaJavaScriptNode.jsPythonScalaGo
About the role
Key responsibilities & impact- Articulate and evangelize a bold technical vision for the domain
- Decompose complex problems into practical and operational solutions
- Ensure the quality of technical design and implementation
- Serve as an authoritative expert on performance, scalability, and operability
- Continue learning and inject advanced technical knowledge into the community
- Handle several projects simultaneously and balance time to maximize impact
- Mentor and coach the technology and product community
- Modernize monolithic systems into microservice architectures and event-driven platforms
- Collaborate with senior engineering and architecture leaders on long-term platform strategy and API standards
- Balance hands-on technical contribution and innovation with mentoring and elevating peers and junior engineers
- Lead cross-divisional projects promoting technological best practices
- Lead adoption and responsible use of emerging AI and automation capabilities to improve cloud platform and engineering workflow scalability, reliability, and efficiency
- Lead and shape asset and cloud inventory, intelligence, and insights missions
- Deliver AI-native solutions empowering the enterprise to thrive, innovate, and scale securely
Requirements
What you’ll need- 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
- Master’s Degree in Computer Science or Software Engineering preferred
- 12+ years of experience in coding with Java, Scala, Python, Go, or Node.js preferred
- 8+ years of experience with public cloud platforms (AWS, GCP, Azure, OCI) preferred
- 5+ years of experience architecting multi-tenant platforms preferred
- 4+ years of hands-on experience using knowledge graphs and graph query languages preferred
- 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
- One or more active certifications related to cloud infrastructure management or security preferred
- Experience optimizing complex, high-scale distributed systems and cloud-native architectures
- 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
- Experience shaping organization design and talent strategy for scaling engineering capabilities
- Experience with strategic and executive-level communication
- Experience across the full lifecycle of system development
- Experience acting as a leader of leaders and driving professional development
- Expertise in the strategic application of agentic AI coding tools
- Experience with risk management and operational excellence within high-risk/high-severity incident environments
- Experience mentoring senior engineers
- Experience leading cross-domain architectural reviews or establishing coding and design standards
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position
Benefits
Comp & perks- Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
- Comprehensive, competitive, and inclusive health, financial and other benefits supporting total well-being
- Reasonable accommodations for applicants who require them