DLP Platform Engineering Lead

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 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. Job Responsibilities 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 PostgreSQL, EventBridge), 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 Manage dependencies on adjacent teams and systems, unblocking delivery when external integration points stall Communicate platform strategy and progress to senior leadership, translating technical decisions into business impact Grow into people leadership as the team expands, building engineering culture and developing talent Basic Qualifications 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 in working with cloud infrastructure service Preferred Qualifications 1+ years of experience with Go and Python, including typed JSON handling, interface design, and template-based code generation 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 CloudFormation) 1+ years of experience with relational databases (PostgreSQL preferred) including schema design and query optimization 1+ years 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 of shipping new platforms from inception to production 1+ years of experience using AI coding tools (GitHub Copilot, Claude Code) to accelerate development delivery AWS Certified Solutions Architect or Certified Information Systems Security Professional (CISSP) certification At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Manager, Cyber Technical New York, NY: $215,200 - $245,600 for Manager, Cyber Technical Plano, TX: $179,400 - $204,700 for Manager, Cyber Technical Richmond, VA: $179,400 - $204,700 for Manager, Cyber Technical Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website ( ). Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. #J-18808-Ljbffr COMFORT SYSTEMS