Senior Lead Software Engineer

Capital One Financial

Quick summary

Work type: On-site
Location: McLean, VA
Salary: $229,900–$262,400 / yr
Posted: 3 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $167k

This role $246k

$114k most similar roles pay here $278k

This role pays more than 96% of similar roles. Most pay $130,332–$202,675 — the shaded band above. At the midpoint, this role pays about $246k versus about $167k 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 716 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 709 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Lead Software Engineer

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As a Sr Lead Software Engineer on our cutting-edge team, you will be responsible for developing and maintaining high-throughput, real-time streaming pipelines and services that evaluate credit card transactions for fraud in real time. Utilizing Java, Python, and Go deployed natively on AWS, you will scale machine learning scoring models and decision engines to protect millions of customers. Your day-to-day responsibilities include advanced feature engineering, continuous experimentation, and the development of agentic tooling for data analysis. This role involves solving complex distributed systems problems where your work directly impacts financial security by safeguarding transactions in milliseconds.

Skills

AWS Java Python Go Kubernetes CI/CD Docker Prometheus Grafana PostgreSQL Redis Apache Kafka Machine Learning Feature Engineering

What you'll do

Design and implement real-time streaming pipelines for fraud detection.
Develop high-throughput services to evaluate credit card transactions in real time.
Utilize Java, Python, and Go on AWS to scale machine learning models.
Engage in continuous experimentation with cutting-edge machine learning features.
Create agentic tooling for advanced data analysis and decision-making engines.

What we're looking for

5+ years of experience in software engineering with a focus on real-time streaming pipelines and services.
Proficiency in Java, Python, and Go for developing scalable machine learning models and decision engines.
Experience working with AWS to deploy and scale applications at a large scale.
Strong background in feature engineering and continuous experimentation for machine learning projects.
Expertise in building agentic tooling for advanced data analysis and distributed systems.

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