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Sr. Distinguished Software Engineer - Aml (remote - Eligible)

Jobs via Dice Mclean, Virginia, US

About the Role

As a Sr. Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving toward strong technology solutions. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next‑generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community. Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization. As our CEO often says, \"Risk management is the business,\" placing our Risk Technology team at the absolute epicenter of Capital One's ability to operate and innovate. We build software that prevents risks and proactively detects issues before they impact our business, our customers, or our communities. This role will focus on our Anti‑Money Laundering mandate, where we are locked in a high‑stakes technological arms race against sophisticated financial crime activities. You will be a strategist defining which modern technologies will solve problems our stakeholders haven't even imagined yet. You will have the unique mandate to look across every single line of business, tackling massive data challenges with a commitment to pure craftsmanship and a \"build it right\" mentality that will set the new best‑in‑class standard for engineering excellence. 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 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 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. Compensation 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 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. Eligibility varies based on full or part‑time status, exempt or non‑exempt status, and management level. Capital One is an equal‑opportunity employer, including under disability and veteran status, committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with applicable laws regarding criminal background inquiries. #J-18808-Ljbffr

Required Skills

software engineering cloud machine learning architect leadership

Keywords

Sr. Distinguished Software Engineer AML remote eligible

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