below marketmost similar roles pay hereabove market
This listing doesn't post a salary. Most similar roles pay
$192,050–$230,400.
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
2107 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 1107 roles with salary data.
The Staff Full-stack Engineer joins the Business Cards & Payment team to lead the transition toward an agentic future for marketing and sales. You will serve as a technical expert and trusted advisor, defining long-term architecture, prototyping new features, and scaling agentic systems. Your daily work involves building real-time, hyper-personalized marketing platforms, assistive technologies for field agents, and autonomous sales agents using RLAIF. You will utilize a diverse tech stack including Go, Java, JavaScript, TypeScript, Python, Rust, and C#, alongside web technologies and SPA frameworks. Key responsibilities include designing distributed HPC and ML systems, managing data architecture, and leveraging cloud platforms like AWS, Azure, and Google Cloud. You will also mentor engineers, establish technical charters, and ensure system performance, scalability, and operability.
What does a Full Stack Engineer earn in Virginia?
Median $211200 from 264 postings across 3 companies.
Prototype and assess new technologies to enable hyper-personalized marketing and assistive field sales systems.
Define and execute the long-term technical strategy and destination architecture for marketing platforms.
Design and provide architectural guidance for large-scale, cross-domain programs.
Develop and launch agentic AI systems, including autonomous sales agents and real-time marketing tools.
Serve as a technical authority on non-functional characteristics like performance, scalability, and operability.
Clear technical and process roadblocks for developers across the organization.
Mentor senior engineers and provide hands-on code contributions and reviews.
Create and share technical communications, code samples, and blog posts to evangelize AI technologies.
What we're looking for
Bachelor's Degree or higher in Computer Science or a related quantitative field.
At least 7 years of experience in software engineering, solution architecture, enterprise architecture, cloud computing, and data architecture.
Master’s Degree in Computer Science or Software Engineering (preferred).
5+ years of experience working on applied and agentic AI systems (preferred).
10+ years of experience in software engineering, enterprise architecture, web technologies, distributed HPC/ML systems, cloud computing, and data architecture (preferred).
10+ years of professional experience coding in Go, Java, JavaScript/Typescript, Python, Rust, C#, or Scala (preferred).
8+ years of experience with database and database management systems (preferred).
10+ years of experience in the full lifecycle of system development, networking protocols, and third-party distributed systems (preferred).
AWS
Microsoft Azure
Cloud Platform
Go
Java
JavaScript
TypeScript
Python
Rust
C#
Scala
Distributed Systems
Machine Learning
Data Architecture
API
Networking Protocols
SPA Frameworks