Lead Software Engineer, Full Stack (Enterprise Platforms Technology)

Capital One Financial

Quick summary

Work type: On-site
Location: McLean, VA · New York, NY · Richmond, VA
Salary: $197,300–$225,100 / yr
Posted: 36 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $201k

This role $211k

$169k most similar roles pay here $239k

This role pays more than 59% of similar roles. Most pay $175,500–$226,878 — the shaded band above. At the midpoint, this role pays about $211k versus about $201k 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 498 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 495 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 (Enterprise Platforms Technology)

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Join us as a Lead Software Engineer to build the AI-powered marketing content layer, integrating large language models (LLMs) into content generation pipelines and developing channel-specific content builders. You will create AI-assisted compliance workflows ensuring regulatory adherence, contribute to multi-agent orchestration systems, and develop evaluation tooling for LLM outputs. Utilizing Python, Open Source RDBMS, NoSQL databases, Docker, Kubernetes, and AWS tools, you will lead the design of end-to-end features, write architecture proposals, and define guardrails for AI-generated content. This role involves working on a cutting-edge product at scale, addressing complex business challenges in digital marketing compliance and personalization.

Skills

Python AWS Kubernetes Docker CI/CD PostgreSQL MongoDB LLM APIs Prometheus Grafana MJML Apache Velocity

What you'll do

Build AI-integrated content generation pipelines with prompt management and output validation.
Develop channel-specific content builders with responsive rendering and preview capabilities.
Implement AI-assisted compliance review workflows to ensure regulatory standards are met.
Contribute to multi-agent orchestration systems for coordinating content compliance and dispatch.
Define guardrails for LLM outputs, including toxicity filters and brand voice enforcement.

What we're looking for

3+ years of experience in Java, Go, TypeScript/JavaScript or Node.js
Experience integrating LLMs, creating model APIs, prompt engineering or AI-augmented feature generation
Background in marketing technology, ESPs, campaign management, content personalization or digital marketing platforms
Proficiency in Python and using Open Source RDBMS and NoSQL databases
Expertise with Docker, Kubernetes and AWS tools and services
Ability to lead design of end-to-end AI-powered content generation features