Manager, Security Platform Engineering, DLP Control Platform

Capital One operates entirely in the public cloud and processes sensitive data at massive scale across every channel where information moves. Our Data Loss Prevention (DLP) program sits at the intersection of cybersecurity, data engineering, and regulatory compliance. We are building a centralized platform that fundamentally changes how data protection policies are defined, how violations are detected and routed, how enforcement is applied, and how controls are validated at enterprise scale.

This entity is a software engineering challenge, not a vendor integration exercise.

This role leads the engineering delivery of the DLP Control Platform: a system that centralizes detection logic, enforcement orchestration, and continuous validation into a single platform serving the entire DLP program. You will ship production software, make technical decisions under real constraints, and own the platform's technical direction.

A successful candidate combines deep platform engineering experience with enough security and regulatory awareness to build systems that satisfy both engineering standards and examination expectations. You bring clarity to ambiguous problems, ship iteratively, and know how to operate at the intersection of new system development and existing production infrastructure.

• Lead the technical delivery of a centralized DLP platform that standardizes how data protection policies are authored, how findings are routed and scored, and how enforcement is applied across the program.
• Design and build platform services using Python, AWS serverless and container infrastructure (ECS Fargate, Lambda, Step Functions, Aurora Postgre
  
  SQL, Event Bridge), and infrastructure as code (CDK).
• Define interface contracts between platform components and existing production systems, ensuring clean integration boundaries.
• Make architectural trade-offs that balance delivery speed, operational reliability, and regulatory defensibility.
• Drive engineering decisions on schema design, API boundaries, deployment strategy, and platform lifecycle management.
• Partner with DLP policy experts to translate data protection requirements into platform capabilities that produce consistent, auditable outcomes.
• Establish engineering practices for the platform: CI/CD pipelines, testing strategy, deployment automation, observability.
• Build deterministic translation and orchestration pipelines that produce consistent, auditable outputs from structured inputs.
• Work across the full platform stack in vertical slices; a given sprint may require schema changes, API implementation, deployment automation, and production validation.
• Contribute to architectural decisions on data modeling, service boundaries, event design, and operational strategy.

• High School Diploma, GED, or equivalent certification.
• At least 4 years of software engineering experience.
• At least 4 years of experience in building and deploying production platforms or distributed systems.
• At least 2 years of experience in cybersecurity, data protection, data engineering, or platform engineering in a regulated or security-sensitive environment.
• At least 2 years of experience working with cloud infrastructure service.

• 2+ years of experience with Go, including typed JSON handling, interface design, and template-based code generation.
• 2+ years of experience with Python.
• 1+ years of experience with schema validation systems (CUE, JSON Schema, or equivalent constraint languages).
• 1+ years of experience defining and implementing API contracts, message schemas, or integration interfaces between systems.
• 1+ years of experience with infrastructure as code (CDK, Terraform, or Cloud Formation).
• 1+ years of experience with relational databases (Postgre
  
  SQL preferred) including schema design and query optimization.
• 1+ years of experience programmatically implementing data protection or security controls including building detection logic, classification systems, enforcement automation, or false positive reduction through code.
• 1+ years of experience shipping new platforms from inception to production (not solely maintaining existing systems).
• 1+…