Key responsibilities:** + 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 observability, resiliency, and operational excellence + 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 + Learn the business of our stakeholders and conceive of creative technical solutions that solve for their goals + Develop full stack applications with a product engineering mindset, spanning frontend and backend ecosystems that balance simplicity with flexibility + Utilize AWS cloud Infrastructure across the entire stack (IaaS primitives to PaaS offerings) + Utilize best practices for modern engineering operations including observability, SLOs, Continuous Deployment, and Incident Management that embrace a "you build it, you run it" mentality + Employ frameworks like Spark, Flink, Kafka, and Dagster for large-scale data architectures and data processing + Demonstrate ability to write high-quality technical documentation to align partner teams and influence stakeholders **Capital One is open to hiring a Remote Employee for this opportunity.** **Basic Qualifications:** + Bachelor's Degree + At least 9 years of experience in Software Engineering and solution architecture + At least 9 years of experience in Cloud computing (AWS, Microsoft Azure, Google Cloud) + At least 9 years of experience in Data architecture **Preferred Qualifications:** + Bachelor's or Master's Degree in Computer Science or a related field + 10+ years of experience in Software Engineering and solution architecture + 3+ years of experience in building tools within Anti-Money Laundering, Know Your Customer, Financial Crime, or Fraud detection domains + 3+ years of professional experience implementing AI/ML strategies for anomaly detection, entity resolution in a regulatory environment that requires a high bar for explainability + 3+ years professional experience implementing Product Observability **_Capital One will consider sponsoring a new qualified applicant for employment authorization for this position._** Remote (Regardless of Location): $286,200 - $326,700 for Sr Distinguished Engineer Cambridge, MA: $314,800 - $359,300 for Sr Distinguished Engineer McLean, VA: $314,800 - $359,300 for Sr Distinguished Engineer New York, NY: $343,400 - $392,000 for Sr Distinguished Engineer Richmond, VA: $286,200 - $326,700 for Sr 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.