Senior Lead Software Engineer, Full Stack; Enterprise Platforms Technology

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 solve real problems and meet real customer needs. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies.

As a Capital One Senior Lead Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.

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.

Within EPTech, you'll join the Unified Customer Graph team—building the enterprise's authoritative system of record for customer identity: every human, business, account, device, and the relationships linking them. This is a graph-native platform serving entities and relationships at scale with low latency. You'll work at the intersection of distributed systems, graph data modeling, and access control.

This is a senior lead IC role where you'll be expected to lead architecture decisions, drive proof-of-concepts from ideation to production readiness, and influence platform direction across organizational boundaries.

• Design and build API layers that enforce access control semantics, ensuring consumers only receive data they're authorized to access
• Lead architecture proofs-of-concept that resolve open technical questions — then drive findings into production-ready decisions
• Own technical work streams end-to-end: scope definition, interface contracts, implementation, and operational readiness
• Operate in an AI-augmented engineering model: design the tools, quality gates, and validation patterns that accelerate delivery
• Design graph data models that represent complex entity relationships at enterprise scale
• Collaborate across organizational boundaries with architecture, product, and data engineering counterparts
• Drive infrastructure and topology decisions backed by performance data, not assumptions
• Define and validate non‑functional requirements (latency, throughput, availability) rooted in documented business needs

• 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)

• Master’s Degree
• 9+ years of experience in at least one of the following:
  Go, Java, or Python
• 4+ years of experience with AWS services (Neptune, Dynamo
  
  DB, Lambda, Step Functions, ECS, IAM)
• 5+ years of experience with designing and operating graph databases or large‑scale relationship‑oriented data systems
• 9+ years of experience with system design at scale, including distributed caching, event‑driven architectures, and dual‑write or migration patterns
• 2+ years of experience with access control models and data governance at the platform layer
• Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries.