Lead Software Engineer, Back End
About the role
In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities.
In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. The product, AML Quality Assist (AQuA), will leverage GenAI capabilities to review suspicious activity investigation decision narratives to ensure they meet the high quality requirements of Capital One and FinCEN. It will eventually generate the full narrative for the user, adhering to quality guidelines, resulting in better narratives and less human effort writing them. The solution will involve a mix of data pipelines, batch processing, API, and front-end development using Python and modern front-end frameworks.
Responsibilities
- Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices and full-stack systems to create solutions that help meet regulatory needs for the company.
- Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and occasionally coding or evaluating code.
- Collaborate with digital product managers and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment.
- Utilize programming languages like Java, Python, SQL, Node, Go, and Scala; Open Source RDBMS and NoSQL databases; container orchestration services including Docker and Kubernetes; and a variety of AWS tools and services.
Requirements
- Bachelor’s Degree.
- At least 4 years of professional software engineering experience (internship experience does not apply).
- At least 1 year of experience with cloud computing (AWS, Microsoft Azure, Google Cloud).
Qualifications
- Master's Degree.
- 7+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js.
- 2+ years of experience with AWS, GCP, Azure, or another cloud service.
- 4+ years of experience in open-source frameworks.
- 1+ years of people management experience.
- 2+ years of experience in Agile practices.
- Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion.
At this time, Capital One will not sponsor a new applicant for employment authorization or offer any immigration-related support for this position.
Pay
The minimum and maximum full-time annual salaries for this role are listed below, by location. Salaries for part-time roles will be prorated based on the agreed-upon number of hours to be regularly worked.
- McLean, VA: $197,300 - $225,100 for Lead Software Engineer.
- Richmond, VA: $179,400 - $204,700 for Lead Software Engineer.
Candidates hired to work in other locations will be subject to the pay range associated with that location. 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.
Benefits
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. Learn more at the Capital One Careers website.