Lead Software Engineer, Full Stack

Capital One Financial

Confirmed live yesterday Low trust

Quick summary

Work type
On-site
Location
McLean, VACambridge, MARichmond, VA
Employment
Full-time
Posted
61 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $193k
$141k $241k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $163,090–$222,500.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 2107 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1107 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Lead Software Engineer, Full Stack

Role Posting Log in to save

The Lead Software Engineer, Full Stack (Risk Tech, Intelligent Foundations & Experiences) joins a team focused on integrating a risk management stack with an enterprise GenAI layer. This role involves architecting LLM-driven capabilities for frontline risk managers and leading a portfolio of diverse technology projects to meet regulatory needs. You will build robust cloud-based solutions and manage a team of developers with experience in distributed microservices and full stack systems. Key technologies include JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, alongside Open Source RDBMS and NoSQL databases. You will utilize container orchestration services like Docker and Kubernetes, plus various AWS tools. The work centers on solving complex business problems by marrying data with emerging technologies to drive powerful experiences for financial empowerment.

Skills

GenAI LLM AWS Kubernetes Docker Python Java TypeScript Go SQL JavaScript HTML/CSS NoSQL RDBMS Agile Microservices Cloud Computing Microsoft Azure

What you'll do

  • Architect the integration of the risk management stack with the enterprise GenAI layer.
  • Build LLM-driven systems used by frontline risk managers to solve complex business problems.
  • Lead a portfolio of diverse technology projects and a team of developers.
  • Develop distributed microservices and full-stack systems to meet regulatory needs.
  • Deliver robust cloud-based solutions using AWS, Docker, and Kubernetes.
  • Utilize programming languages including Java, Python, Go, and TypeScript to build applications.
  • Implement large language models for semantic validation or automated decision support.
  • Mentor other members of the engineering community on new technologies and trends.

What we're looking for

  • At least 4 years of professional software engineering experience.
  • At least 1 year of experience with cloud computing (AWS, Microsoft Azure, Google Cloud).
  • Master's Degree (preferred).
  • 7+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go (preferred).
  • 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service (preferred).
  • 4+ years of experience in open source frameworks (preferred).
  • 1+ years of people management experience (preferred).

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