Full-stack Engineer 5 (Senior Manager, IC)-EDT

Capital One•McLean, VA

2d•$209,000 - $286,200•Onsite

About The Position

Full-stack Engineer 5 (Senior Manager, IC)-EDT 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. Enterprise Data Tech (EDT) is responsible for managing data technology, platforms, and experiences across Capital One. Our core mission is to make data easy to find, use, understand, govern, and protect throughout the complex end to end data lifecycle.This foundation is built on key platforms that manage Capital One’sData Pipeline, including data storage, and access. Looking ahead, our imperatives are centered on evolving our capabilities for the AI world and strategically expanding Capital One’s data platforms.

Requirements

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

Nice To Haves

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

Responsibilities

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 internal customers with data access and analysis.
Own and evolve the enforcement layer that lets AI agents run against consumption platforms in well governed fashion.
Lead delivery of MCP wrappers and implementations as well as integration with model context enrichment systems.
Drive an active security and dependency hardening backlog end-to-end — SSRF, log-injection, ReDoS, and auth-bypass fixes; triage of open Mend CVEs and VulnHunter findings — and own time-boxed platform hygiene work against hard, already-ticking deadlines.
Close correctness and feature-parity gaps across multiple query engines including Snowflake and Databricks;: per-workspace routing, rate limiting, query filtering, and concurrency/memory efficiency under load.
Build out observability and reliability practice for the service — OpenTelemetry instrumentation, New Relic dashboards, PagerDuty alerting on failure classes, cross-region resilience.
Work primarily in Python on AWS ECS Fargate. Breadth in other languages/full-stack frameworks is a plus for cross-team context but is not what this seat does day-to-day — drop the implication that this is a polyglot, multi-team people-leadership role.