Lead Software Engineer, Full Stack

Capital One Financial

Quick summary

Work type: On-site
Location: McLean, VARichmond, VAChicago, IL
Salary: $179,400–$204,700 / yr
Posted: 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $202k

This role $192k

$174k most similar roles pay here $231k

This role pays less than 56% of similar roles. Most pay $180,937–$223,750 — the shaded band above. At the midpoint, this role pays about $192k versus about $202k 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 782 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 778 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Lead Software Engineer, Full Stack

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We are seeking a Senior Software Engineer to join our dynamic and innovative product development team. In this role, you will be responsible for designing and implementing robust software solutions that enhance user experience and drive business growth. Day-to-day tasks include coding in Python and JavaScript, collaborating with cross-functional teams, and conducting code reviews. You should have strong expertise in cloud technologies such as AWS and Kubernetes, along with a deep understanding of microservices architecture. This position involves working on scalable systems for a large e-commerce platform, focusing on optimizing performance and ensuring high availability. Ideal candidates possess a Master's Degree or higher and are passionate about solving complex technical challenges in the fast-paced tech industry.

Skills

No skills listed

What you'll do

Develop and implement advanced statistical models for predictive analytics.
Analyze large datasets to identify trends and patterns relevant to business objectives.
Create visualizations and reports to communicate insights to stakeholders effectively.
Stay updated with the latest advancements in data science and machine learning.
Collaborate on projects involving natural language processing and text analysis.