Full-stack Engineer Manager

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Richmond, VAMcLean, VACambridge, MA
Salary
$197,300–$225,100 / yr
Posted
2 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $184k
This role $211k
$149k most similar roles pay here $233k

This role pays more than 75% of similar roles. Most pay $157,200–$211,525 — the shaded band above. At the midpoint, this role pays about $211k versus about $184k 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 886 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 880 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Full-stack Engineer Manager

Full-stack Engineer 4 (Manager, IC) joins the Risk Tech team to build and deploy proprietary solutions for risk management powered by state-of-the-art AI technology. This role involves leading a portfolio of diverse projects and a team of developers to create distributed microservices and full-stack systems that meet regulatory needs. The engineer will collaborate with product managers to deliver robust cloud-based solutions while providing technical leadership across Agile teams to set standards for design, development, and operational excellence. Key responsibilities include identifying areas for refactoring, reducing technical debt, and influencing long-term technology strategy. The role requires proficiency in Java, Scala, Python, Go, Node.js, JavaScript, and TypeScript, alongside experience with RDBMS and NoSQL databases, Docker, Kubernetes, and various AWS tools. The work focuses on using machine learning to prevent risks and automatically detect issues within the risk management domain.

What you'll do

  • Lead a portfolio of diverse technology projects and a team of developers to create solutions for regulatory needs.
  • Build and deploy proprietary risk management solutions powered by state-of-the-art AI technology.
  • Develop robust cloud-based solutions using Java, Python, Go, or other modern programming languages.
  • Provide technical leadership across Agile teams by setting standards for design, development, and operational excellence.
  • Partner with architects to define service boundaries, integration patterns, and reusable frameworks.
  • Identify areas for improvement by implementing targeted refactoring to reduce technical debt and improve performance.
  • Influence long-term technology strategy through the evaluation of emerging tools and practices.

What we're looking for

  • Bachelor's Degree or higher in Computer Science or a related quantitative field.
  • At least 4 years of experience in software engineering.
  • At least 2 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).
  • 7+ years of experience coding with more than two of the following: Go, Java, JavaScript/TypeScript, Python, Rust, C#, Scala (preferred).
  • 3+ years of experience with database and database management systems (preferred).
  • 4+ years of experience contributing to open source frameworks (preferred).
  • Experience leading cross-functional engineering efforts or large-scale technical initiatives (preferred).

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