Distinguished Engineer, Full Stack

This is a fully remote position, open to applicants in New York, +2 more states.

📋 Description

• Clearly communicate and promote a bold technical vision for your area of expertise.

• Break down complex challenges into practical and actionable solutions.

• Maintain high standards for technical design and implementation quality.

• Act as a leading authority on non-functional system attributes, including performance, scalability, and operability.

• Engage in continuous learning and contribute advanced technical knowledge to our community.

• Manage multiple projects at once, effectively allocating your time to maximize overall impact.

• Serve as a role model and mentor within the technology community, helping to enhance the technical skills and knowledge of our engineering and product teams.

• Spearhead proof-of-concept initiatives for emerging AI frameworks and architectural patterns.

• Collaborate with other Finance Technology teams to review architectures and designs beyond your immediate area, contributing a holistic perspective that elevates standards organization-wide.

• Advocate for AIOps practices, enhancing platform reliability through AI-driven anomaly detection, automated remediation, and predictive alerting across the portfolio.

⛳️ Requirements

• Bachelor's Degree.

• A minimum of 7 years of experience in the following areas: Software engineering and solution architecture, Enterprise architecture and design patterns, Designing and building distributed HPC and ML systems, Full ML development lifecycle utilizing AI and ML frameworks, Cloud computing (AWS, Microsoft Azure, Google Cloud), Data engineering.

• Preferred Qualifications: Bachelor's or Master's in Computer Science, Applied Mathematics, or a related technical discipline, Over 10 years of experience in one or more of the following: software engineering and solution architecture, enterprise architecture and design patterns, distributed HPC and ML systems, ML development lifecycle, cloud computing, or data architecture, More than 10 years of hands-on coding experience in commonly used languages such as Python, Java, Go, Scala, JavaScript/TypeScript, or similar; you are an active engineer, not a former one, At least 8 years of ownership of the entire SDLC, from conception through architecture, implementation, testing, deployment, and production support; you have responded to issues in production and resolved them, Proven AI-native engineering practice across all three layers: Regular utilization of AI coding assistants to enhance productivity, leveraging capabilities that extend beyond simple code completion, Spec/intent driven development, AI integrated into CI/CD and SDLC tooling — including test generation, spec validation, and code review enhancement, Practical experience in developing LLM-backed or agentic systems — including prompt engineering, evaluation frameworks, observability, and implementing guardrails, Experience collaborating directly with quantitative analysts or data scientists — covering model development lifecycles, feature pipelines, backtesting, ML deployment, and the rigor to validate model functionality.

🏝️ Benefits

• Capital One provides a comprehensive, competitive, and inclusive array of health, financial, and additional benefits that foster your overall well-being.