Capital One

LeadSoftwareEngineer,DataProtection

$197–225k McLean, Virginia, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Lead Software Engineer, Data Protection at Capital One. Skills: Data Protection, Platform Engineering, Cybersecurity. Lead the design and build of platform services. Centralize data protection policy authoring”

What You'll Achieve.

Meet regulatory needs for the company; Produce consistent, auditable outputs; Satisfy regulatory examination

Industry & Context.

Problems you'll solve

Solving complex security problems; Solving data protection problems

What They're Looking For.

Must Have

Bachelor's Degree, 4 years of experience in software engineering, 1 year experience with cloud computing

Nice to Have

Master's Degree, 7+ years of experience in 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, 1+ years of experience designing and building event-driven architectures or pipeline systems, 1+ years of experience with infrastructure as code, 1+ years of experience programmatically implementing data protection or security controls, 1+ years of experience with shipping new platforms from inception to production, 1+ years of experience accelerating development using AI coding agents, AWS or security certifications

What You'll Do.

Lead the design and build of platform services

Centralize data protection policy authoring

Route and score findings

Apply enforcement across DLP program

Create solutions that meet regulatory needs

Share passion for staying on top of tech

Experiment with and learn new technologies

Participate in technology communities

Contribute to architectural decisions

Collaborate with digital product managers

Collaborate with security partners

Collaborate with DLP policy experts

Deliver robust cloud-based platform services

Satisfy regulatory examination

How You'll Work.

Team & Collaboration

Collaborative environment; Cross-functional teams

Communication Scope

Technical documentation

Process & Methodology

Agile practices

Full Job Description

Lead Software Engineer, Data Protection Do you love building and pioneering in the technology space? Do you enjoy solving complex security and data protection 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 a Full Stack Software Engineer who is passionate about building platforms at the intersection of cybersecurity, data engineering, and regulated software. As a Capital One Lead Software Engineer on the DLP Control Platform, you'll have the opportunity to be on the forefront of driving a major transformation in how Capital One protects sensitive data across every channel where information moves. ## ## What You'll Do * 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, working in vertical slices that span schema, API, deployment automation, and production validation to create solutions that help meet regulatory needs for the company * 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 in

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