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

Capital One; Cambridge (MA); On-site; USD 180,000 - 240,000; Full time

Job summary

Capital One is seeking a Sr. Manager, Software Engineer in Cambridge, MA to lead AI‑driven finance platform initiatives. You will mentor engineers, drive multi‑team delivery, and shape architecture for scalable, cloud‑native systems.

You’ll oversee SDLC, collaborate with product managers, and push for AI‑first solutions that improve regulatory compliance and customer outcomes in a fast‑paced environment.

Qualifications

• Bachelor’s degree required; 6+ years in software engineering.
• At least 1 year of cloud experience with AWS/Azure/GCP.
• 4+ years of people management experience.

Responsibilities

• Lead a portfolio of tech projects and diverse teams delivering AI-first finance solutions.
• Oversee SDLC from design to delivery while ensuring architectural integrity.
• Collaborate with product managers to align roadmaps with regulatory needs.
• Mentor engineers and contribute to code reviews and architecture discussions.

Skills

Software engineering leadership

People management

Cloud computing

AI/ML experience

Education

Bachelor's Degree

Master's Degree

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

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.

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, and build the next‑generation of AI‑native finance.
• Lead high‑performing engineering teams through the agentic Software Development Life Cycle (SDLC) to design, govern, and deliver AI‑first applications.
• Operate in a fast‑paced, customer‑centric environment, bridging the gap between human strategic intent and autonomous AI execution.
• 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 and external technology communities, mentoring other members of the engineering community, and occasionally be asked to code or evaluate code.
• Collaborate with digital product managers to 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, TypeScript, SQL, Python, and Go, open source RDBMS and NoSQL 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 of 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, TypeScript, 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 of 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.

Capital One is an equal‑opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws.

CapitalOne promotes a drug‑free workplace.