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

Capital One Capital One · Banking · Cambridge, MA +1

This role is for a Sr. Manager, Software Engineer focused on AI-Powered Platforms within Finance Tech. The candidate will lead engineering teams through the AI SDLC to design, govern, and deliver AI-first applications, orchestrating multi-agent workflows to accelerate time-to-market and solve user problems. Experience with deploying scalable and responsible AI solutions on cloud platforms is required.

What you'd actually do

  1. 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
  2. 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.
  3. 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
  4. Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
  5. 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

Skills

Required

  • Bachelor's Degree
  • 6 years of experience in software engineering
  • 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
  • 4 years of people management experience

Nice to have

  • 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 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.

What the JD emphasized

  • AI-native Finance
  • agentic Software Development Life Cycle (SDLC)
  • orchestrate multi-agent workflows
  • deploying scalable and responsible AI solutions
  • designing, developing, integrating, delivering, and supporting complex AI systems

Other signals

  • AI-native Finance
  • agentic Software Development Life Cycle (SDLC)
  • orchestrate multi-agent workflows
  • deploying scalable and responsible AI solutions