Senior Manager, Software Engineering
Listed on 2026-01-13
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Software Development
Cloud Engineer - Software, Software Engineer, AI Engineer, Machine Learning/ ML Engineer
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies.
As a Capital One Sr. Manager Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
This role is part of the Risk Technology organization. In Risk Technology, 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 business, our customers, or our communities.
In this role you will lead a team of engineers that works with the Enterprise Services Risk Management function to create real-time and intelligent risk management products that are powered by some of the advanced technology (such as Artificial Intelligence). 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.
What You’ll Do:
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 from time to time, be asked to code or evaluate code
Build intelligent products that augments human decisioning through automation and by leveraging advanced technological capabilities such as Agentic AI
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 JavaScript, Java, HTML/CSS, Type Script, SQL, Python, and Go, Open Source RDBMS and No
SQL databases, Container Orchestration services including Docker and Kubernetes, modern frameworks such as Lang Chain and a variety of AWS tools and services
Basic Qualifications:
Bachelor’s Degree
At least 6 years of experience in software engineering (Internship experience does not apply)
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
At least 4 years of people management experience
Preferred Qualifications:
Master’s Degree
9+ years of experience in at least one of the following:
JavaScript, Java, Type Script, SQL, Python, or Go3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service
4+ years of experience in open source frameworks
7+ years of people management experience
2+ years of experience in Agile practices
At least 1 year of experience in implementing AI or AI-enabled solutions
Experience in applying Artificial Intelligence or Machine Learning concepts to engineering challenges (e.g., anomaly detection, test optimization, intelligent testing)
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.
McLean,VA: $229,900 - $262,400 for Sr. Mgr, Software Engineering
Candidates hired to work in other locations will be subject to the pay range…
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