Sr. Distinguished Software Engineer - AML (Remote - Eligible)

Capital One is a leading financial services company seeking a Sr. Distinguished Engineer to join their team in defining the future of banking in the cloud. The role involves driving innovation, mentoring talent, and creating solutions to complex problems, particularly in the Anti Money Laundering domain.

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

Requirements:

• 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
• 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