Lead Software Engineer, Back End

Capital One Financial

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: Richmond, VAMcLean, VA
Salary: $197,300–$225,100 / yr
Posted: 3 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 $202k

This role $211k

$187k most similar roles pay here $230k

This role pays more than 78% of similar roles. Most pay $192,050–$211,200 — the shaded band above. At the midpoint, this role pays about $211k 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 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 · Lead Software Engineer, Back End

Role Posting Log in to save

Lead Software Engineer, Back End (Enterprise Platforms Technology)(Apache Spark and Java) joins the Enterprise Platforms Technology team to spearhead the architecture, development, and scaling of core data infrastructure. This role involves designing robust, highly scalable data pipelines and microservices while managing a portfolio of diverse technology projects. The engineer will build systems capable of processing billions of customer data points with low latency and high availability. Key responsibilities include integrating AI-native engineering workflows, such as Claude Code and GitHub Copilot, into development cycles and building APIs for LLM integration. Technical requirements include proficiency in Java, Scala, Spring Boot, and Apache Spark performance tuning. The role also requires expertise in AWS services like EMR, Glue, Lambda, S3, and DynamoDB, alongside advanced SQL and NoSQL database management to ensure data quality and system reliability within the enterprise platform domain.

Skills

Apache Spark Java Scala Spring Boot AWS Python Go SQL NoSQL EMR Glue Lambda Step Functions S3 RDS DynamoDB Kinesis LLM GitHub Copilot

What you'll do

Design and build scalable data pipelines and microservices using Java, Apache Spark, Scala, and Spring Boot.
Engineer high-availability systems capable of processing billions of customer data points with low latency.
Integrate AI coding assistants and autonomous agents into development workflows to improve team productivity.
Develop backend architectures and APIs that interface with AI/ML models and LLM endpoints for data enrichment.
Lead, mentor, and provide technical guidance to a team of back-end and data engineers.
Optimize Spark jobs and SQL queries across RDBMS and NoSQL databases to minimize costs and maximize throughput.
Utilize AWS services like EMR, Glue, and Kinesis to build cost-effective cloud architectures.
Implement automated monitoring, alerting, and pipelines to ensure data quality and zero-downtime deployments.

What we're looking for

At least 4 years of professional software engineering experience.
At least 1 year of experience with cloud computing (AWS, Microsoft Azure, or Google Cloud).
Master's Degree (preferred).
7+ years of professional engineering experience utilizing Java, Scala, Python, or Go (preferred).
4+ years of experience with Advanced SQL and NoSQL database systems (preferred).
3+ years of hands-on cloud experience (preferred).
2+ years of experience in Apache Spark performance tuning (preferred).

Save