Distinguished Engineer, Full Stack (Remote Eligible)

About the role

As a Distinguished Engineer at Capital One, you will be part of a community of technical experts working to define the future of banking in the cloud. You will collaborate with developers, AI/ML experts, data analysts, product managers, and people leaders to drive innovation at multiple levels, optimizing business outcomes while delivering strong technology solutions. This role involves leading through technical contribution, acting as a trusted advisor for key technologies, platforms, and capability domains, and creating clear communications, code samples, and blog posts to share knowledge internally and externally.

You will specialize in a subject area while contributing broadly across the organization, working with Capital Markets, Financial Planning Technology teams, and the broader Finance Technology Distinguished Engineer community. Your work will drive architectural excellence, establish AI-native engineering standards, and deliver next-generation liquidity management, predictive analytics, and financial planning infrastructure.

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 the community.
• Handle multiple projects simultaneously, balancing time to maximize impact.
• Act as a role model and mentor, coaching and strengthening the technical expertise of the engineering and product community.
• Lead proof-of-concept development for emerging AI frameworks and architectural patterns.
• Collaborate with other Finance Technology teams, reviewing architectures and designs outside your immediate domain to raise the bar organization-wide.
• Champion AIOps practices, driving platform reliability through AI-assisted anomaly detection, automated remediation, and predictive alerting.

Requirements

• Bachelor’s Degree.
• At least 7 years of experience in:
  • Software engineering and solution architecture.
  • Enterprise architecture and design patterns.
  • Designing and building distributed HPC and ML systems.
  • Full ML development lifecycle using AI and ML frameworks.
  • Cloud computing (AWS, Microsoft Azure, Google Cloud).
  • Data engineering.

Qualifications

• 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.
  • Data architecture.
• 10+ years of hands-on coding in commonly used languages such as Python, Java, Go, Scala, JavaScript/TypeScript, or similar; you are a working engineer, not a former engineer.
• 8+ years owning the full SDLC, from conception through architecture, implementation, testing, deployment, and production support; you have been paged and fixed issues.
• Demonstrated AI-native engineering practice across all three layers:
  • Daily use of AI coding assistants to accelerate productivity, utilizing capabilities beyond basic code completion.
  • Spec/intent-driven development.
  • AI embedded in CI/CD and SDLC tooling—test generation, spec validation, code review augmentation.
• Production experience building LLM-backed or agentic systems, including prompt engineering, evaluation frameworks, observability, and guardrails.
• Experience working directly with quantitative analysts or data scientists—model development lifecycles, feature pipelines, backtesting, ML deployment, and validation rigor.

Pay

The annual full-time salary ranges for this role are as follows:

• Remote (Regardless of Location): $244,700 - $279,200
• Cambridge, MA: $269,100 - $307,200
• McLean, VA: $269,100 - $307,200
• New York, NY: $293,600 - $335,100
• Richmond, VA: $244,700 - $279,200

Candidates hired to work in other locations will be subject to the pay range associated with that location. This role is also eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI).

Benefits

Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits to support your total well-being. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.