Senior Lead Software Engineer, Marketing and Messaging Experimentation

Capital One•McLean, VA

1d•$209,000 - $262,400

About The Position

Are you driven to revolutionize intelligent platforms and build high-impact systems at enterprise scale? Do you excel at tackling complex engineering puzzles where big data, machine learning, and cutting-edge technology converge? At Capital One, you’ll join a dynamic group of makers, breakers, doers, and disruptors who build solutions that directly impact millions of customers. We are seeking a Senior Lead Software Engineer to architect and scale our next-generation capabilities across experimentation, audience segmentation, and journey decisioning within our marketing and messaging platforms to drive deeply personalized, AI-powered customer experiences.

Requirements

Bachelor’s Degree
At least 6 years of experience in software engineering (Internship experience does not apply)
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Nice To Haves

Master’s Degree
9+ years of experience in at least one of the following: Python, Java, Go, SQL, etc
4+ years of experience with AWS, GCP, Azure, or another cloud service
4+ years of experience in open source frameworks
4+ years of experience with distributed streaming technologies (e.g., Apache Kafka)
4+ years of people management experience, or mentoring talented engineers
2+ years of experience in Agile practices
Proficiency in system architecture, system design, and large-scale, low-latency applications
Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion.
Hands-on experience with Agentic AI workflows/automation, integrating Machine Learning models or AI-driven systems.
Experience building or scaling experimentation platforms and A/B, MAB testing frameworks.

Responsibilities

Serve as a technical innovator and cross-functional architect, partnering with data science, product, and engineering teams to design resilient, system-level architectures for enterprise-wide experimentation, audience segmentation, and customer journey orchestration.
Architect and scale high-performance systems and engines across experimentation, audience segmentation, and journey decisioning to optimize message effectiveness and analyze customer responsiveness leveraging advanced ML models and personalization techniques.
Integrate cutting-edge AI, agentic workflows, and distributed streaming architectures to power fast, scalable journey orchestration, automated creative testing, and targeted segment delivery across products, messages, and channels.
Mentor and guide software engineers while cultivating a culture of technical excellence, continuous experimentation, and hands-on innovation with emerging tech stacks.