Lead Software Engineer, Full Stack

Capital One Financial

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: McLean, VARichmond, VA
Salary: $197,300–$225,100 / yr
Posted: 15 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $207k

This role $211k

$187k most similar roles pay here $230k

This role pays more than 70% of similar roles. Most pay $192,050–$222,000 — the shaded band above. At the midpoint, this role pays about $211k versus about $207k for comparable roles.

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 998 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 992 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Lead Software Engineer, Full Stack

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Lead Software Engineer, Full Stack (Risk Tech, Intelligent Foundations & Experiences) joins the Risk Tech team to drive a major transformation integrating the risk management stack with an enterprise GenAI layer. This role involves architecting LLM-driven capabilities for systems used by frontline risk managers while leading a portfolio of diverse technology projects and a team of developers. The position focuses on building distributed microservices and full-stack systems to meet regulatory needs through robust cloud-based solutions. Key technologies include JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, alongside Open Source RDBMS and NoSQL databases. Candidates will utilize container orchestration tools like Docker and Kubernetes, along with various AWS services. The role addresses the technical challenge of merging risk management infrastructure with advanced artificial intelligence to automate decision support and enhance internal operational capabilities.

Skills

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

What you'll do

Integrate the risk management stack with an enterprise GenAI layer.
Architect LLM-driven capabilities for systems used by frontline risk managers.
Lead a portfolio of diverse technology projects and a team of developers.
Develop distributed microservices and full-stack systems to meet regulatory needs.
Build robust cloud-based solutions using AWS, Docker, and Kubernetes.
Mentor other members of the engineering community on emerging technologies.
Utilize programming languages including Java, Python, Go, and TypeScript for development.

What we're looking for

Bachelor's Degree or Master's Degree.
At least 4 years of professional software engineering experience.
At least 1 year of experience with cloud computing (AWS, Microsoft Azure, or Google Cloud).
7+ 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.
1+ years of people management experience and 2+ years of experience in Agile practices.
Work authorization that require immigration support from an employer.

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