Senior Manager, Software Engineering, Full Stack

Capital One Financial

Confirmed live 2 days ago Trusted

Quick summary

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

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $208k
This role $246k
$177k most similar roles pay here $272k

This role pays more than 91% of similar roles. Most pay $192,050–$223,750 — the shaded band above. At the midpoint, this role pays about $246k versus about $208k 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 Manager, Software Engineering, Full Stack

As a Senior Manager, Software Engineering, Full Stack (People Leader) within the Risk Tech team, you will lead a portfolio of diverse technology projects and a team of developers experienced in distributed microservices and full stack systems. You will collaborate with digital product managers to build and deploy proprietary, cloud-based solutions for risk management powered by state-of-the-art AI technology to meet regulatory needs. The role involves mentoring the engineering community, staying current on tech trends, and occasionally coding or evaluating code. You will utilize a technical stack including JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, alongside Open Source RDBMS and NoSQL databases. Additionally, you will work with container orchestration services like Docker and Kubernetes, along with various AWS tools to develop data-driven tools that use machine learning to detect issues before they impact customers.

What you'll do

  • Lead a portfolio of diverse technology projects and a team of developers in a distributed microservices environment.
  • Build and deploy proprietary risk management solutions powered by state-of-the-art AI technology.
  • Develop robust cloud-based solutions using AWS tools to improve customer financial experiences.
  • Manage the development of data-driven tools that use machine learning to detect risks and issues.
  • Mentor other members of the engineering community and stay current on emerging technology trends.
  • Write, review, and evaluate code across various programming languages including Java, Python, and Go.
  • Implement full-stack systems using SQL/NoSQL databases and container orchestration tools like Docker and Kubernetes.

What we're looking for

  • At least 6 years of experience in software engineering.
  • At least 1 year of experience with cloud computing (AWS, Microsoft Azure, or Google Cloud).
  • At least 4 years of people management experience.
  • Experience with programming languages including JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go.
  • Experience with container orchestration services like Docker and Kubernetes.
  • Experience with AWS tools and services.
  • Experience leveraging interactive AI tooling to accelerate productivity.
  • Bachelor’s Degree.

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