Lead Software Engineer, Full Stack

Capital One Financial

Quick summary

Work type: On-site
Location: McLean, VA · Richmond, VA
Salary: $197,300–$225,100 / yr
Posted: 9 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $189k

This role $211k

$146k most similar roles pay here $234k

This role pays more than 66% of similar roles. Most pay $154,196–$223,750 — the shaded band above. At the midpoint, this role pays about $211k versus about $189k 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 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 · Lead Software Engineer, Full Stack

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As a Senior Software Engineer on our dynamic and innovative team, you will play a pivotal role in developing cutting-edge solutions for our scalable cloud-based services. Your day-to-day responsibilities include designing robust software architectures, implementing efficient algorithms, and collaborating with cross-functional teams to deliver high-quality products. You will work extensively with Python, Java, and JavaScript, leveraging Kubernetes and Docker for containerization, while also utilizing AWS and Azure for cloud deployment. This role requires a deep understanding of distributed systems, microservices architecture, and experience in agile development methodologies. With a focus on enhancing user experiences and optimizing performance, you will tackle complex business challenges within the fast-growing tech industry.

What you'll do

Develop and implement advanced statistical models for predictive analytics.
Analyze large datasets to identify trends and patterns using machine learning techniques.
Create visualizations and reports to communicate insights to stakeholders effectively.
Collaborate with cross-functional teams to integrate statistical solutions into products.
Maintain up-to-date knowledge of industry trends and advancements in statistics.