Distinguished Engineer, Back End (Remote Eligibe)
Key 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 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
Basic Qualifications:- Bachelor's Degree
- At least 7 years of experience in the following:
- 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
Preferred 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, 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
- 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 - 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.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Remote (Regardless of Location): $244,700 - $279,200 for Distinguished Engineer
Cambridge, MA: $269,100 - $307,200 for Distinguished Engineer
McLean, VA: $269,100 - $307,200 for Distinguished Engineer
New York, NY: $293,600 - $335,100 for Distinguished Engineer
Richmond, VA: $244,700 - $279,200 for Distinguished Engineer
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please.
