Lead Software Engineer, Back End ( Enterprise Platforms Technology)(Apache Spark & Java)
About The Position
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking a forward-thinking Lead Back End Software Engineer to spearhead the architecture, development, and scaling of our core data infrastructure. As a Capital One Software Engineer, you’ll be on the forefront of driving a major transformation—leveraging traditional big data technologies alongside AI-native engineering workflows. Enterprise Platforms Technology (EPTech) comprises many of Capital One’s most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices.
Requirements
- Bachelor’s Degree
- At least 4 years of professional software engineering experience (Internship experience does not apply)
- At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
Nice To Haves
- Master’s Degree
- 7 + years of professional engineering experience utilizing Java, Scala, Python, or Go
- 4 + years of experience with Advanced SQL and NoSQL database systems
- 3 + years of hands-on cloud experience (AWS, Azure, or Google Cloud)
- 3 + years of experience working with various open source frameworks
- 2 + years of experience in Apache Spark performance tuning, specifically addressing memory configuration, data partitioning, and DAG optimization
- Proficiency in leveraging AI-native development tools (Claude Code, GitHub Copilot, Cursor, or OpenAI Canvas) to drive engineering velocity
Responsibilities
- Lead a portfolio of diverse technology projects and design robust, highly scalable data pipelines and microservices using Java, Apache Spark, Scala and Spring Boot.
- Engineer systems capable of ingesting, processing, and serving billions of customer data points with low latency, high availability, and strong data consistency.
- Drive developer productivity by actively integrating AI coding assistants and autonomous agents (e.g., Claude Code, Co Pilot etc ) into daily development workflows, automated testing, and code refactoring.
- Design backend architectures and APIs that interface with AI/ML models and LLM endpoints for intelligent data enrichment and automated pipeline monitoring.
- Lead, mentor, and inspire a team of back-end and data engineers.
- Establish best practices for human-in-the-loop AI coding, conduct rigorous code reviews, and maintain high standards for system reliability.
- Leverage AWS services (EMR, Glue, lambda, step functions, S3, RDS, DynamoDB, Kinesis) to build cost-effective cloud architectures.
- Write optimized SQL queries with Open Source RDBMS and NoSQL databases and tune Spark jobs to minimize compute costs and maximize throughput.
- Implement robust monitoring, alerting, and automated pipelines to ensure data quality, pipeline integrity, and zero-downtime deployments.
Benefits
- comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
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What This Job Offers
Job Type
Full-time
Career Level
Senior
