Full-stack Engineer 5 (Senior Manager, IC)

Capital One Group; Richmond (VA); On-site; USD 209,000 - 262,000; Full time

Job summary

Capital One in Richmond, VA, is seeking a Full-stack Software Engineer 5 to lead a portfolio of diverse technology projects across distributed microservices and full-stack systems. You will collaborate with risk tech teams and product managers to deliver scalable, cloud-native solutions using Java, Python, Go, and JavaScript, with Docker, Kubernetes, and AWS.

This role emphasizes technical leadership, mentoring, and staying ahead of tech trends while driving architecture and platform roadmaps.

Qualifications

• Bachelor's degree in Computer Science or related field.
• At least 6 years of software engineering experience.
• At least 3 years of experience with public cloud platforms (AWS, GCP, Azure).

Responsibilities

• Lead a portfolio of diverse tech projects and a team of developers across distributed microservices.
• Mentor engineers, share tech trends, and contribute to internal/external communities.
• Collaborate with product managers to deliver cloud-based solutions for customers.
• Define platform roadmaps and shared services with architects and leaders.
• Drive end-to-end design and implementation of scalable, reliable systems.

Skills

Java/Scala

Python

Go

JavaScript/TypeScript

Distributed systems

Cloud platforms

Education

Bachelor's in CS or related

Master's in CS or related

Tools

Docker

Kubernetes

AWS

GCP

Azure

Job description

**Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who solve real problems and meet real customer needs. We are seeking **Full-stack Software Engineers** who are passionate about leveraging cutting-edge open source frameworks and emerging technologies. In this role, you’ll be at the forefront of driving a major transformation across Capital One.****In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities.** **In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value.******What You’ll Do:***** **Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company*** **Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community*** **Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment*** **Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services*** **Provide technical leadership across multiple teams, shaping system architecture and long-term technology direction*** **Drive end-to-end design and implementation of large-scale, distributed, or cloud-native systems with high reliability and performance requirements*** **Partner with architects and product leaders to define platform roadmaps and shared services strategy******Basic Qualifications:***** **Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)*** **At least 6 years of experience in software engineering (Internship experience does not apply)*** **At least 3 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies******Preferred Qualifications:***** **Master’s Degree in Computer Science or a related field*** **9+ years of experience coding with more than two of the following: Go, Java, JavaScript/TypeScript, Python, Rust, C#, Scala*** **5+ years of experience contributing to open source frameworks*** **5+ years of experience with front-end JavaScript or TypeScript frameworks*** **5+ years of experience creating synchronous and asynchronous APIs*** **4+ years of experience with database and database management systems*** **4+ years of experience with AWS, GCP, Azure, or cloud-based productivity tools or virtualization technologies*** **4+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks*** **4+ years of experience using Git-based version-control systems (e.g., Git, GitHub, Bitbucket)*** **4+ years of experience troubleshooting technical issues within cloud environments*** **3+ years of experience mentoring senior engineers and driving professional development within technical teams*** **2+ years of experience leveraging observability to identify and optimize performance bottlenecks in distributed systems*** **1+ year of experience leading architectural design reviews and influencing enterprise-wide technical standards and methodologies*** **1+ year of experience establishing and enforcing coding standards and design patterns across teams*** **1+ year of experience implementing observability and reliability practices at scale*** **Experience leveraging modern AI-based coding tools and IDE copilots*** **Experience influencing technology strategy at the portfolio or business unit level*** **Experience with interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion*** **Experience leading cross-functional engineering efforts or large-scale technical initiatives*****Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.***The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.McLean, VA: $229,900 - $262,400 for Full-stack Engineer 5Richmond, VA: $209,000 - $238,500 for Full-stack Engineer 5Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.