Lead Software Engineer, Full Stack

Capital One Financial

Quick summary

Work type: On-site
Location: Richmond, VA
Salary: $179,400–$204,700 / yr
Posted: 37 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $189k

This role $192k

$146k most similar roles pay here $234k

This role pays more than 51% of similar roles. Most pay $154,196–$223,750 — the shaded band above. At the midpoint, this role pays about $192k 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

Apply Now Log in to save

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 platform. Your day-to-day responsibilities include designing robust software architectures, implementing complex algorithms, and collaborating with cross-functional teams to deliver high-quality products. You will work extensively with technologies such as Kubernetes, Docker, and AWS, leveraging languages like Python and Java to build efficient and reliable systems. With a focus on enhancing user experience and optimizing performance, you will tackle challenging business problems in the domain of cloud security and scalability, ensuring our platform remains at the forefront of technological advancements.

Skills

Nonelisted

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 and recommendations effectively.
Collaborate with cross-functional teams to integrate statistical solutions into business processes.
Stay current with industry trends and advancements in statistical methodologies.

What we're looking for

Bachelor’s Degree required
Master's Degree preferred
Experience in relevant field (COPSSC)
Strong analytical and problem-solving skills
Proficiency in relevant software and tools

Save