Staff Engineer

Capital One Financial

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: Cambridge, MAMcLean, VARichmond, VANew York, NY
Salary: $244,700–$279,200 / yr
Posted: 11 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $213k

This role $262k

$149k most similar roles pay here $293k

This role pays more than 86% of similar roles. Most pay $179,467–$245,937 — the shaded band above. At the midpoint, this role pays about $262k versus about $213k 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 · Staff Engineer

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Staff Engineer (Remote - Eligible) joins a team of technical experts focused on risk management technology within the financial sector. This hands-on role involves architecting intelligent, real-time risk management products in partnership with Anti-Money Laundering and Sanctions teams. You will serve as a trusted advisor and visionary strategist, defining modern technologies to solve complex problems while writing high-quality production code across full-stack applications. The work involves building data-driven tools that leverage Artificial Intelligence and Machine Learning to proactively identify risks. Key technical requirements include experience with cloud computing platforms like AWS, Microsoft Azure, or Google Cloud; data architecture involving event-driven and real-time systems; and proficiency in languages such as Java, Python, Go, JavaScript, TypeScript, or Swift. You will also apply Site Reliability Engineering principles and advanced observability tools to ensure system performance and scalability.

What does a Engineer earn in Remote?

Median $189520 from 49 postings across 15 companies.

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Skills

Artificial Intelligence Machine Learning AWS Microsoft Azure Google Cloud Java Python Go JavaScript TypeScript Swift SRE OpenTelemetry Prometheus Real-Time Architecture System Design

What you'll do

Architect intelligent, real-time risk management products using Artificial Intelligence and machine learning.
Develop high-quality production code across full-stack applications including frontend and backend systems.
Define and implement a technical vision for embedding AI into the developer lifecycle.
Decompose complex problems into practical, operational solutions while ensuring quality of design and implementation.
Serve as an authoritative expert on non-functional system characteristics like performance, scalability, and operability.
Mentor engineers and provide hands-on technical leadership to strengthen the expertise of the engineering community.
Create technical content such as code samples and blog posts to share knowledge internally and externally.
Act as a visionary strategist to identify and introduce modern technologies for problems not yet envisioned by stakeholders.

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 5 years of experience in Cloud computing (AWS, Microsoft Azure, Google Cloud).
At least 5 years of experience in Data architecture including Event Driven and Real-Time architectures.
10+ years of professional experience coding in languages like Java, Python, Go, JavaScript/TypeScript, or Swift.
8+ years of professional experience in the full lifecycle of system development from conception through production support.
Experience applying Artificial Intelligence or Machine Learning concepts to engineering challenges and implementing AI-enabled solutions.

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