About the Role
The Security Foundations Engineering (SFE) team with our client builds the foundational platforms that operationalize security, privacy, and data governance across the company. This includes systems that power third-party risk management, access controls, and secure data sharing at scale.
We are seeking a senior, highly self-directed Full Stack Engineer to lead development of the Control Center — our Client's internal platform for third-party risk management and data governance. This is a production-critical system (not an MVP) that transforms an existing data catalog into an actionable, audit-ready operational tool.
You’ll be the primary frontend owner on a backend-heavy team, responsible for designing and building complex, real-time interfaces while partnering closely with Security, Privacy, and Infrastructure teams.
What You’ll Do
Own and build the Control Center — a unified portal for third-party data governance and vendor risk management
Design and develop scalable React-based interfaces including:
Exception surfacing and triage workflows
Action queues and operational dashboards
Drill-down data visibility and reporting
Audit-ready reporting experiences
Build and integrate backend services (REST/GraphQL) that power frontend workflows
Integrate with downstream systems such as access controls and vendor offboarding workflows
Partner cross-functionally with Privacy, Security, and Infrastructure teams to define and implement data governance requirements
Ensure production-grade reliability through monitoring, observability, and performance optimization
Review, debug, and improve AI-generated code as part of an AI-first development environment (majority of codebase)
Contribute to system design decisions and ensure new components integrate cleanly into existing architecture
Basic Qualifications (Must-Have)
5+ years of frontend engineering experience with React (non-negotiable)
Strong experience building full stack applications (frontend + backend integration)
Deep understanding of React architecture, state management, and complex UI systems
Experience building production-grade applications at scale (reliability, monitoring, fault tolerance)
Proven ability to build operational tooling (dashboards, workflows, data-heavy UIs)
Experience working with APIs (REST or GraphQL) and backend systems
Strong debugging and code review skills, including reviewing large, AI-generated codebases
Excellent communication and stakeholder management skills across multiple teams
Ability to operate as a senior, self-directed engineer in a cross-functional environment
Preferred Qualifications
Experience with AI agent systems / LLM pipelines, including:
Evaluating model accuracy
Iterating on agent workflows
Handling large-scale prompt orchestration
Familiarity with AWS infrastructure (S3, RDS, IAM, Lambda)
Experience with Airflow DAGs or data pipeline orchestration
Backend experience in Python or similar languages
Experience building security, compliance, or risk management tools
Background working at large-scale tech companies (e.g., Google, Meta, Amazon)
Experience with consumer-facing applications (high bar for reliability and UX)
Technical Environment
Frontend: React (TypeScript preferred)
Backend: GraphQL (existing), Python (adjacent systems)
Infrastructure: AWS (S3, RDS, IAM, Lambda)
Data & Orchestration (Nice-to-have): Airflow
Key Details
Start Date: May 12, 2026 (or ASAP)
Duration: 1 year, with possibility of extension
Location: Remote (U.S.-based)
Schedule: Full-time (40 hours/week)
Work Type: Contract (W2)
Compensation: $100-$115 per hour
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