Full-stack Engineer ; Senior Manager, IC-EDT

Full-stack Engineer 5 (Senior Manager, IC)-EDTDo 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.  
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* What You’ll Do:

*** 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 Vuln Hunter 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 — Open Telemetry instrumentation, New Relic dashboards, Pager Duty 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.  
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* 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  
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* 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/Type Script, Python, Rust, C#, Scala
* 5+ years of experience contributing to open source frameworks
* 5+ years of experience with front-end JavaScript or Type Script 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…