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

Capital One is a leading financial services company, and they are seeking a Sr. Distinguished Software Engineer specializing in Anti-Money Laundering. The role involves driving innovation, optimizing business outcomes, and providing technical leadership to enhance engineering excellence across the organization.

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