Build the Future of Assurance: Develop end-to-end (full stack) applications that automate control testing, and risk monitoring across Cloudflare’s global infrastructure.
Data-driven Audit Execution: Provide hands-on audit support by leveraging data science and advanced analytics to execute data-driven testing throughout the audit lifecycle.
Customer Zero Engineering: Build and maintain internal tools and dashboards using Cloudflare’s stack (e.g., Workers, KV, D1, AI Gateway) to solve complex internal risk and compliance challenges.
AI-Driven Risk Detection: Integrate LLMs and machine learning pipelines to analyze vast datasets for anomalies, potential security misconfigurations, or compliance deviations.
Engineer for Scale: Move beyond manual scripting. Build high availability microservices that pull data from APIs, databases, and production logs to deliver near real-time risk insights.
Data Strategy: Partner with Data Engineers and data owners to ensure we have clean, actionable telemetry for internal audits and continuous auditing.
Own the Stack: Take full ownership of the lifecycle
from database schema design and API development to UI implementation and production deployment.

Bachelor’s or master’s degree in computer science, Software Engineering, or equivalent experience.
5+ years of full stack software engineering experience with proven industry experience in a large-scale environment (high-throughput, distributed systems & globally distributed teams).
A genuine interest in technology risk management, internal audit methodologies, or engineering compliance frameworks.
Strong experience in application development using backend languages like Python, Go, or Node.js and modern frontend frameworks like React or TypeScript.
Deep understanding of SQL/NoSQL databases, API design (REST/GraphQL), and distributed systems.
Hands-on experience with cloud-native architectures. Experience with Cloudflare Workers, AWS, or GCP is highly preferred.
Familiarity with data engineering pipelines (ETL/ELT) and leveraging LLMs/ML for automated data analysis.
Familiarity with technology risk management, internal audit methodologies, or engineering compliance frameworks is preferred.
Ability to explain complex technical risks to non-technical stakeholders and translate audit requirements into elegant code.

Full Stack Engineer, Internal Audit

Key skills