Staff Cloud Engineer
About The Position
Capital One is seeking a Staff Cloud Engineer to help drive a major cloud infrastructure transformation and define the future of enterprise-scale infrastructure. The role calls for a technical leader who can set a vision, turn complex problems into practical solutions, and ensure the quality of technical designs and implementations. The engineer will serve as an expert in non-functional system characteristics such as performance, scalability, and operability, while continuing to develop and share advanced technical knowledge. The position combines hands-on engineering and innovation with mentoring, cross-divisional technical leadership, and strategic collaboration. The Staff Cloud Engineer will modernize monolithic systems into microservices and event-driven platforms, partner with senior engineering and architecture leaders on platform strategy and API standards, and guide responsible adoption of AI and automation to improve cloud platform and engineering workflow scalability, reliability, and efficiency.
Requirements
- Bachelor's degree or higher in Computer Science or a related quantitative field, such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Engineering.
- At least 8 years of experience in software engineering.
- At least 4 years of experience in cloud engineering.
Nice To Haves
- Master’s degree in Computer Science or Software Engineering.
- 10 or more years of coding experience with at least one of Java, Scala, Python, Go, or Node.js.
- 6 or more years of experience with public cloud platforms such as AWS, GCP, Azure, or OCI.
- 6 or more years of experience in CI/CD orchestration, Infrastructure-as-Code frameworks such as Terraform, CloudFormation, Pulumi, or Crossplane, and Automated Governance using Policy-as-Code DSLs such as OPA.
- One or more active certifications related to cloud infrastructure management or security.
- Experience optimizing complex, high-scale distributed systems and cloud-native architectures, including Kubernetes or Serverless.
- Experience designing and supporting cloud networking, security, and identity integrations.
- Experience troubleshooting and supporting production cloud environments.
- Experience leading cross-functional engineering efforts or large-scale technical initiatives.
- Experience influencing technology strategy at the portfolio or business unit level.
- Experience managing multi-team engineering organizations or leading strategic technical programs spanning multiple domains.
- Experience defining and tracking engineering OKRs aligned to business outcomes.
- Experience shaping organization design and talent strategy to scale engineering capabilities.
- Experience with strategic and executive-level communication to influence technology decisions.
- Experience leading architectural design reviews and influencing enterprise-wide technical standards and methodologies.
- Experience across the full system development lifecycle, from conception through architecture, implementation, testing, deployment, and production support.
- Experience mentoring senior engineers and driving professional development within technical teams.
- Expertise in the strategic application of agentic AI coding tools to solve systemic development challenges.
Responsibilities
- 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 non-functional system characteristics, including performance, scalability, and operability.
- Continue learning and bring advanced technical knowledge into the engineering community.
- Handle multiple projects simultaneously and balance time to maximize impact.
- Act as a role model and mentor, coaching and strengthening the technical expertise of engineering and product communities.
- 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.
- Balance hands-on technical contribution and innovation with mentoring and developing peers and junior engineers.
- Lead cross-divisional projects that promote technological best practices and enhancements.
- Lead the adoption and responsible use of emerging AI and automation capabilities to improve cloud platform and engineering workflow scalability, reliability, and efficiency.
Benefits
- Eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
- Comprehensive health, financial, and other benefits supporting total well-being.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
