Distinguished Engineer

Capital One Financial

Quick summary

Work type
On-site
Location
McLean, VA · San Francisco, CA · Richmond, VA
Salary
$269,100–$307,200 / yr
Posted
24 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k
This role $288k
$116k most similar roles pay here $328k

This role pays more than 95% of similar roles. Most pay $136,350–$224,500 — the shaded band above. At the midpoint, this role pays about $288k versus about $180k for comparable roles.

Based on 239 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 498 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 495 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Distinguished Engineer

As a Distinguished Engineer in People Tech, you will lead the transformation from domain-centric development to a system-driven model, focusing on engineering and operational excellence. Your daily tasks include evangelizing a technical vision for autonomous operations, architecting high-scale reusable capabilities, and establishing standards for reliability, scalability, and observability. You will partner with Product and Engineering teams to translate business intent into scalable systems while eliminating duplication through a "build once, scale everywhere" approach. The role requires extensive experience in designing distributed AI and ML systems, cloud computing (AWS, Azure, Google Cloud), and software engineering. Ideal candidates have a track record of delivering cross-domain solutions and possess deep expertise in non-functional architecture to ensure enterprise-grade readiness at extreme scales.

What you'll do

  • Evangelize a technical vision for system-driven execution and autonomous operations.
  • Architect high-scale, reusable capabilities for consistent cross-domain execution.
  • Lead the transition from application-centric to capability-based platform delivery.
  • Establish and enforce standards for engineering excellence in reliability and scalability.
  • Partner with Product teams to translate business intent into scalable system logic.
  • Eliminate duplication by enforcing a "build once, scale everywhere" architecture.
  • Ensure non-functional architecture meets extreme resiliency and enterprise-grade requirements.

What we're looking for

  • At least 7 years of experience in designing and building distributed AI and ML systems.
  • Over 8 years of hands-on experience with public or private cloud technologies (AWS, Azure, Google Cloud).
  • Extensive background in software engineering, platform engineering, or architecture (10+ years).
  • Proven track record of partnering across product, engineering, and platform teams to deliver cross-domain solutions.
  • Strong expertise in establishing and enforcing standards for engineering and operational excellence.

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