Senior Lead Software Engineer

Capital One Financial

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: McLean, VA
Employment: Full-time
Posted: 124 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $190k

$131k $249k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $159,375–$220,800.

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.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Lead Software Engineer

Role Posting Log in to save

The Sr Lead Software Engineer joins a team focused on protecting customers by building high-throughput, real-time streaming pipelines and services that evaluate credit card transactions for fraud. This role involves leading a portfolio of diverse technology projects and a team of developers to create solutions meeting regulatory needs. Day-to-day responsibilities include performing machine learning feature engineering, continuous experimentation, and developing agentic tooling for advanced data analysis. The engineer will work at the intersection of application engineering, data engineering, and data science to scale scoring models and decision engines. Required technical skills include Java, Python, Go, SQL, Node, and Scala, alongside experience with Open Source RDBMS, NoSQL databases, Docker, Kubernetes, and various AWS tools to solve complex distributed systems problems in milliseconds.

Skills

Java Python Go SQL Scala Node.js AWS Kubernetes Docker RDBMS NoSQL Distributed Systems Microservices Machine Learning Agile GCP Azure

What you'll do

Lead a portfolio of technology projects and a team of developers to create solutions meeting regulatory needs.
Build high-throughput, real-time streaming pipelines and services to evaluate credit card transactions for fraud.
Develop and scale machine learning scoring models and decision engines using Java, Python, and Go.
Perform machine learning feature engineering and continuous experimentation for data analysis.
Develop agentic tooling for advanced data analysis and interactive AI productivity.
Build and deploy robust cloud-based solutions using AWS, Docker, and Kubernetes.
Manage and utilize Open Source RDBMS and NoSQL databases for distributed systems.
Mentor other members of the engineering community and evaluate technical code.

What we're looking for

At least 6 years of professional software engineering experience.
At least 1 year of experience with cloud computing (AWS, Microsoft Azure, or Google Cloud).
Master’s Degree (preferred).
9+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js (preferred).
3+ years of experience with AWS, GCP, Azure, or another cloud service (preferred).
4+ years of experience in open source frameworks (preferred).
1+ years of people management experience (preferred).