Distinguished Engineer, Message Delivery & Dispatch

Capital One Financial

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: McLean, VANew York, NYRichmond, VA
Salary: $269,100–$307,200 / yr
Posted: 49 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $221k

This role $288k

$153k most similar roles pay here $324k

This role pays more than 81% of similar roles. Most pay $169,450–$273,355 — the shaded band above. At the midpoint, this role pays about $288k versus about $221k for comparable roles.

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 998 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 992 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Distinguished Engineer, Message Delivery & Dispatch

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Distinguished Engineer (Message Delivery & Dispatch) joins the Enterprise Message Delivery organization to lead the technical strategy for an omni-channel dispatch ecosystem. This role involves architecting high-availability systems that deliver real-time, personalized messages across mobile, web, email, and SMS while ensuring strict adherence to UDAAP and state-specific regulations like FCCPA. You will modernize legacy messaging systems into a unified platform, integrate AI for automated workflows, and manage vendor-agnostic "Built and Bought" solutions. The role requires expertise in cloud environments, microservices architecture, real-time data streaming via Kafka, and LLM systems including RAG and model governance. Key technical skills include proficiency in Java, Python, Go, or TypeScript to build robust telemetry pipelines and automation tools. You will serve as a technical authority on email governance while mentoring engineers through complex challenges in a highly regulated, high-volume environment.

What does a Engineer earn?

Median $185000 from 249 postings across 48 companies.

See salary data

Skills

LLM RAG Python Java Go TypeScript Swift AWS Azure GCP Kafka Microservices CI/CD Machine Learning AdTech Telemetry Analytics Pipelines

What you'll do

Architect high-scale, resilient infrastructure for multi-channel message delivery including email, SMS, push notifications, and AdTech.
Integrate AI technologies into the messaging ecosystem to drive real-time, personalized customer communications at scale.
Serve as the primary technical authority on email governance and regulatory compliance standards like UDAAP and FCCPA.
Lead the modernization of legacy systems into a unified, vendor-agnostic Enterprise Message Delivery platform.
Implement automated workflows and engineering standards to optimize delivery processes and reduce operational costs.
Develop robust telemetry and analytics pipelines to provide real-time observability and data-driven optimization for delivery pathways.
Provide technical leadership and mentorship to engineers navigating complex challenges in a highly regulated environment.

What we're looking for

Bachelor's degree in Computer Science or a related field.
At least 7 years of experience in software engineering and solution architecture.
At least 7 years of experience in Enterprise architecture and design patterns.
At least 2 years of experience deploying and delivering platforms within cloud environments.
At least 1 year of hands-on experience with LLM systems, including RAG, embeddings, and model governance.
10+ years of professional experience coding in languages such as Java, Python, Go, or JavaScript/TypeScript.
8+ years of experience in the full lifecycle of system development from conception through production support.
5+ years of experience with modern cloud technologies, microservices architecture, and real-time data streaming like Kafka.

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