Sr. Distinguished Engineer, Full Stack - Finance Tech at Capital One
Albany, NY
$286,200–$326,700from the description
Aug 12, 2026
Albany, NY
Sep 24, 2026
What this job asks for AI summary
A top-of-ladder individual contributor role at Capital One focused on building an AI-powered platform for real-time, end-to-end finance business process automation. The engineer will set technical direction across full-stack and ML domains, define architecture for multi-tenant and agentic systems, mentor senior engineers, and drive org-wide adoption of modern cloud and AI technologies — without managing a team directly.
Principal level · 9+ years · Remote · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 9 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 1,700 people nationally plausibly meet what this posting asks for (software developers). range 1,050–3,100
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $107,524–$175,762). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 13, 2026. It is a model, not a headcount.
Why we read it this way (7)
The title 'Sr. Distinguished Engineer' maps to Principal on the seniority ladder — Capital One's Distinguished Engineer tier is explicitly described as org-wide technical authority, above Staff. The alt SOC (11-3021) is noted because the role includes significant mentoring, recruiting, and cross-org influence, but the JD is clear that leadership is through technical contribution, not people management.
The Basic Qualifications list 'at least 9 years' across several combined areas (software engineering, solution architecture, enterprise architecture, web technologies, ML lifecycle, cloud, data architecture) — this is treated as the overall experience floor (the overall years minimum of 9). The Preferred Qualifications separately call out 10+ years of coding and 10+ years of full lifecycle experience.
The salary range shown ($286,200–$326,700) is for the Remote tier; the McLean, VA office range is higher ($314,800–$359,300). The remote figure is used as the primary comp range since the role is open to remote candidates regardless of location.
The Basic Qualifications list cloud computing (AWS, Azure, GCP) as a required specialization. AWS is listed first and used as the primary skill; Azure and GCP appear as alternatives since the posting treats them interchangeably ('public or private cloud technologies' in Preferred).
SPA frameworks are required by name in the Basic Qualifications but no specific framework is named; React, Angular, and Vue are listed as the well-known interchangeable substitutes.
AI/ML frameworks are required as part of the 'full ML development lifecycle' specialization in Basic Qualifications, but no specific framework (e.g., TensorFlow, PyTorch) is named.
The Preferred Qualifications mention 'interactive AI tooling to accelerate productivity' — this is too vague to map to a specific named technology and is omitted from the skills list.
Read the full posting
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