Sr. Distinguished Software Engineer - AML (Remote - Eligible)
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 towards strong technology solutions.
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 prevent risks & proactively detect issues before they impact our business, our customers, or our communities. This role will be focusing on our Anti Money Laundering mandate, where we are locked in a high-stakes technological arms race against sophisticated financial crime activities. In this role, you won't just execute a roadmap; 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.
If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good.
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.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): $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.
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.
