Lead the design and build of platform services that centralize how data protection policies are authored, how findings are routed and scored, and how enforcement is applied across the DLP program
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal and external technology communities, mentoring other members of the engineering community, and contributing to architectural decisions on data modeling, service boundaries, event design, and operational strategy
Collaborate with digital product managers, security partners, and DLP policy experts, and deliver robust cloud-based platform services that produce consistent, auditable outputs across vendors and channels and satisfy regulatory examination
Utilize programming languages like Go, Python, TypeScript, and SQL, schema validation systems including CUE and JSON Schema, Open Source RDBMS and NoSQL databases (PostgreSQL/Aurora), Container Orchestration services including Docker and ECS Fargate, and a variety of AWS tools and services including Lambda, Step Functions, EventBridge, and CDK
Requirements
Bachelor's Degree
At least 4 years of experience in software engineering (Internship experience does not apply)
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
7+ years of experience in at least one of the following: Python, Java, TypeScript, JavaScript, or SQL
3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service
4+ years of experience in open source frameworks
2+ years of experience in Agile practices
2+ years of experience building production systems in cybersecurity, data protection, data engineering, or platform engineering in a regulated or security-sensitive environment
1+ years of experience with schema validation systems (CUE, JSON Schema, or equivalent constraint languages)
1+ years of experience designing and building event-driven architectures or pipeline systems
1+ years of experience with infrastructure as code (CDK, Terraform, or CloudFormation)
1+ years of experience programmatically implementing data protection or security controls: detection logic, classification systems, enforcement automation, or false positive reduction through code
1+ years of experience with shipping new platforms from inception to production
1+ years of experience accelerating development using AI coding agents (e.g., GitHub Copilot, Claude Code) and modern developer workflows
AWS or security certifications
Tech Stack
AWS
Azure
Cloud
Cyber Security
Docker
Google Cloud Platform
Java
JavaScript
NoSQL
Open Source
Postgres
Python
RDBMS
SQL
Terraform
TypeScript
Go
Benefits
Comprehensive, competitive, and inclusive set of health, financial and other benefits that support total well-being
Lead Software Engineer, Data Protection at Capital One | JobVerse