Hybrid Lead Software Engineer – Full Stack, Enterprise Platforms Technology

at Capital One

• Job title: Lead Software Engineer – Full Stack, Enterprise Platforms Technology
• Job type: Full Time
• Experience level: Senior
• Salary: $179,400 - $245,600 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Apache, AWS, Azure, Cloud, Docker, Google Cloud Platform, Java, JavaScript, Kubernetes, Node.js, NoSQL, Open Source, Python, RDBMS, TypeScript, Go
• Location requirements: Hybrid, McLean, United States

About the role

• Lead Software Engineer developing AI-powered marketing content solutions at Capital One. Building integrated content generation services and ensuring compliance for marketing content across channels.

Responsibilities

• Build software solutions to iterate on AI content generation services - integration of LLM’s into content authoring workflows with prompt management, output validation and Human-In-The Loop review
• Develop channel-specific content builders for email, mobile app placements, web site placements and push notifications, with responsive rendering and preview capabilities
• Implement AI-assisted compliance review workflows – build classifiers and scoring pipeline that flag possible UDAAP, CAN-SPAM, claims and disclosures before content approval
• Contribute to multi-agent orchestration systems that coordinate content compliance review, audience selection, and campaign dispatch
• Build evaluation and observability tooling for LLM outputs – golden dataset benchmarks, A/B content quality metrics and drift detection
• Develop template and component systems that allow marketers to assemble compliant content from pre-approved building blocks across channels
• Write well-tested, production-ready code and participate in CI/CD pipeline development, including model evaluation pipeline
• Lead the design of end-to-end content generation features; write architecture proposals and drive cross-team alignment
• Define guardrail frameworks for LLM outputs – toxicity filters, brand voice enforcement, compliance boundary checks – and establish operational runbooks
• Utilize programming languages like Python, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services

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)
• Master’s Degree (Preferred)
• 5+ years of experience with Python
• 3+ years of experience in at least one of the following: Java, Go, TypeScript/JavaScript or Node.js
• 3+ years of experience with AWS, GCP, Azure, or another cloud service
• 1+ years of experience in at least one of the following: LLM integration, model API, prompt engineering or AI-augmented feature generation
• 1+ years of experience in at least one of the following: Marketing Technology, ESP’s, campaign management, content personalization or digital marketing platforms
• 1+ years of experience in at least one of the following: MJML or Apache Volocity

Benefits

• Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
• Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being