Senior Lead Software Engineer

Capital One Financial

Confirmed live 2 days ago Low trust

Quick summary

Work type
On-site
Location
McLean, VA
Salary
$229,900–$262,400 / yr
Posted
78 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $204k
This role $246k
$169k most similar roles pay here $272k

This role pays more than 90% of similar roles. Most pay $184,937–$223,912 — the shaded band above. At the midpoint, this role pays about $246k versus about $204k 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 · Senior Lead Software Engineer

As a Sr Lead Software Engineer, you will join a team at the intersection of application engineering, data engineering, and data science to build high-throughput, real-time streaming pipelines and services that evaluate credit card transactions for fraud in milliseconds. You will lead a portfolio of diverse technology projects and a team of developers to create robust cloud-based solutions that meet regulatory needs. Your daily work involves machine learning feature engineering, continuous experimentation, and developing agentic tooling for advanced data analysis. The technical stack includes Java, Python, Go, Node, SQL, and Scala, alongside Open Source RDBMS and NoSQL databases. You will utilize container orchestration tools like Docker and Kubernetes within an AWS environment to scale machine learning scoring models and decision engines while solving complex distributed systems problems to safeguard financial transactions.

What you'll do

  • Lead a portfolio of diverse technology projects and a team of experienced developers.
  • Build high-throughput, real-time streaming pipelines to evaluate credit card transactions for fraud.
  • Develop and scale machine learning scoring models and decision engines using Java, Python, and Go.
  • Perform advanced machine learning feature engineering and develop agentic tooling for data analysis.
  • Design and implement robust cloud-based solutions on AWS to meet regulatory requirements.
  • Manage distributed microservices and full-stack systems to protect financial transactions in milliseconds.
  • Mentor other members of the engineering community and participate in technology communities.
  • Evaluate code and experiment with new technologies to stay ahead of industry trends.

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).
  • 9+ years of experience in at least one of Java, Scala, Python, Go, or Node.js.
  • 3+ years of experience with AWS, GCP, Azure, or another cloud service.
  • 4+ years of experience in open source frameworks.
  • 1+ years of people management experience.
  • 2+ years of experience in Agile practices.
  • Bachelor’s Degree.

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