Full-stack Engineer 5 Senior Manager

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: McLean, VANew York, NYRichmond, VA
Salary: $229,900–$262,400 / yr
Employment: Full-time
Posted: 3 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 $210k

This role $246k

$176k most similar roles pay here $272k

This role pays more than 90% of similar roles. Most pay $184,937–$234,862 — the shaded band above. At the midpoint, this role pays about $246k versus about $210k 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 936 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 933 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Full-stack Engineer 5 Senior Manager

Role Posting Log in to save

Full-stack Engineer 5 (Senior Manager, IC) joins a team focused on building high-throughput, real-time streaming pipelines and services that evaluate credit card transactions for fraud in milliseconds. This role operates at the intersection of application engineering, data engineering, and data science to solve complex distributed systems problems while ensuring regulatory compliance. You will lead a portfolio of diverse technology projects, mentor other engineers, and drive end-to-end design for cloud-native systems with high reliability requirements. The technical stack includes Java, Python, Go, Scala, Node.js, JavaScript, and TypeScript, alongside Open Source RDBMS and NoSQL databases. You will utilize Docker, Kubernetes, and various AWS tools to scale machine learning scoring models and decision engines. Key responsibilities include performing machine learning feature engineering, developing agentic tooling for data analysis, and shaping long-term system architecture and technology direction.

Skills

AWS Python Java Go TypeScript JavaScript Node.js Scala Kubernetes Docker NoSQL CI/CD Infrastructure as Code Git GitHub Bitbucket Microservices Distributed Systems Machine Learning

What you'll do

Lead a portfolio of diverse technology projects and a team of developers in building distributed microservices.
Design and implement large-scale, cloud-native systems with high reliability and performance requirements.
Build real-time streaming pipelines to evaluate credit card transactions for fraud detection.
Provide technical leadership across multiple teams to shape system architecture and long-term technology direction.
Develop agentic tooling for advanced data analysis and machine learning feature engineering.
Partner with architects and product leaders to define platform roadmaps and shared services strategy.
Establish and enforce coding standards, design patterns, and reliability practices at scale.

What we're looking for

Bachelor's Degree or higher in Computer Science or a related quantitative field.
At least 6 years of experience in software engineering.
At least 3 years of experience with public cloud platforms, cloud-based productivity tools, or virtualization technologies.
Master’s Degree in Computer Science or a related field (preferred).
9+ years of experience coding with more than two of the following: Go, Java, JavaScript/TypeScript, Python, Rust, C#, or Scala (preferred).
5+ years of experience contributing to open source frameworks (preferred).
5+ years of experience with front-end JavaScript or TypeScript frameworks (preferred).
4+ years of experience with database and database management systems (preferred).

Save