Distinguished Engineer, Full Stack (Remote Eligible)

- Articulate and evangelize a bold technical vision for your domain

- Decompose complex problems into practical and operational solutions

- 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

- Lead proof-of-concept development for emerging AI frameworks and architectural patterns

- Collaborate with other Finance Technology towers reviewing architectures and designs outside your immediate domain and contributing a cross-cutting perspective that raises the bar org-wide

- Champion AIOps practices - driving platform reliability through AI-assisted anomaly detection, automated remediation, and predictive alerting across the portfolio

- Bachelor's or Master's in Computer Science, Applied Mathematics, or a related technical field

- 10+ years of experience in one or more of: software engineering and solution architecture, enterprise architecture and design patterns, distributed HPC and ML systems, ML development lifecycle, cloud computing, or data architecture

- 10+ years of hands-on coding in commonly used languages Python, Java, Go, Scala, JavaScript/TypeScript, or similar; you are a working engineer, not a former engineer

- 8+ years owning the full SDLC , conception through architecture, implementation, testing, deployment, and production support; you have been paged and you have fixed it

- Demonstrated AI-native engineering practice across all three layers:

- Daily use of AI coding assistants to accelerate productivity, utilizing capabilities well beyond basic code completion

- AI embedded in CI/CD and SDLC tooling - test generation, spec validation, code review augmentation

- Production experience building LLM-backed or agentic systems - prompt engineering, evaluation frameworks, observability, and guardrails included

- Experience working directly with quantitative analysts or data scientists - model development lifecycles, feature pipelines, backtesting, ML deployment, and the rigor to validate what a model is actually doing

Capital One is open to hiring a Remote Employee for this opportunity.

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

Remote (Regardless of Location): $244,700 - $279,200 for Distinguished Engineer