Sr. Manager, Software Engineer - Finance Tech, AI Powered Platforms

Sr. Manager, Software Engineer - Finance Tech, AI Powered Platforms

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 AI-savvy and 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.

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
• Come build the next-generation of AI-native Finance. In this role, you will lead high-performing engineering teams through the agentic Software Development Life Cycle (SDLC) to design, govern, and deliver AI-first applications. Operating in a fast-paced, customer-centric environment, you will bridge the gap between human strategic intent and autonomous AI execution. Your mission is to orchestrate multi-agent workflows that accelerate time-to-market while enforcing rigorous architectural integrity, ultimately delivering transformative, AI-native solutions that solve real user problems at unprecedented speed.
• 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
• 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, 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 Go
• 3+ 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
• Experience leading teams through enterprise level transformation projects.
• Experience leveraging interactive AI tools like Claude and Windsurf to accelerate productivity, utilizing capabilities beyond basic code completion
• 5+ years experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud).
• Experience designing, developing, integrating, delivering, and supporting complex AI systems.

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.

Cambridge, MA: $229,900 - $262,400 for Sr. Mgr, Software Engineering Mc Lean , VA: $229,900 - $262,400 for Sr. Mgr, Software Engineering

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…