C

Cloudflare

Secures websites and runs apps on its network

Engineering Manager - Bots & Fraud

Engineering LeadershipUpdated on Nov 12
Full-time

About the Job

Requirements

  • A track record of leading engineering teams, including hiring, onboarding, coaching, and supporting professional growth.
  • A strong foundation in software engineering, including experience designing, building, and operating large-scale distributed systems and services.
  • Experience taking projects from inception to production and overseeing execution to meet commitments in a fast-paced, iterative engineering environment.
  • Ability to connect business goals with technical decisions, explain the rationale and implementation, and make thoughtful tradeoffs when requirements are uncertain.
  • Ability to work across Product, Engineering, and other functions to align priorities, remove blockers, and deliver shared outcomes.
  • Ability to communicate clearly with engineers, customers, and senior leadership, adapting technical detail to the audience.
  • Fluency using AI in engineering workflows and judgment about where it accelerates work and where it falls short.
  • Interest in web security, bot management, fraud and abuse, and AI agents on the Internet.
  • Experience building bot management, fraud detection, application security, or other products that make decisions in an adversarial environment.
  • Familiarity with HTTP, browser technologies, JavaScript, and tradeoffs between security, privacy, and user experience.
  • Experience integrating machine learning models into production systems or partnering closely with data science and machine learning teams.
  • Experience with high-volume data pipelines, analytics services, or columnar databases such as ClickHouse.
  • Experience with technologies used in the systems, such as Go, Rust, Python, Kafka, Kubernetes, and PostgreSQL.

Responsibilities

  • Lead and grow the team by hiring, mentoring, and empowering engineers through clear feedback, career development, and a culture of ownership and technical excellence.
  • Shape and deliver the engineering roadmap with Product Management, translating customer problems into incremental deliverables and balancing new capabilities with reliability, performance, and maintainability.
  • Provide technical leadership by participating in design discussions and guiding decisions about scalable distributed services, product integrations, APIs, and analytics.
  • Partner with detection and research teams to turn signals into actionable analytics and configurable controls that help customers balance security, user experience, and privacy.
  • Work with Product and detection partners to use feedback and production data to improve effectiveness, reduce unnecessary friction, and make products easier to adopt.
  • Ensure the team's services have effective observability, safe releases, incident response, and follow-through on improvements.
  • Resolve dependencies, align priorities across teams, and work with customer-facing partners to address recurring product problems at their roots.
  • Partner with detection and research teams to deliver reliable, performant, and easy-to-use customer solutions across real-time services, APIs and configuration, and high-volume data and analytics pipelines.
  • Collaborate across engineering and product teams to bring new capabilities into production and continuously improve the customer experience.

Desired Qualifications

  • Experience building bot management, fraud detection, application security, or other products that make decisions in an adversarial environment.
  • Familiarity with HTTP, browser technologies, JavaScript, and the tradeoffs between security, privacy, and user experience.
  • Experience integrating machine learning models into production systems or partnering closely with data science and machine learning teams.
  • Experience with high-volume data pipelines, analytics services, or columnar databases such as ClickHouse.
  • Experience with technologies used in the systems, such as Go, Rust, Python, Kafka, Kubernetes, and PostgreSQL.

About the Company

Cloudflare

Secures websites and runs apps on its network

Cloudflare operates a network that protects websites, delivers online content and runs applications closer to their users. Businesses connect websites and internal systems to its services to filter malicious traffic, control access and improve performance, with security and computing running on shared infrastructure. Developers combine application code, object storage and databases with the network used for content delivery and traffic protection. Cloudflare earns revenue from subscriptions and usage charges, with free plans for basic features and negotiated contracts for larger organizations. Cloudflare was founded in 2009 and is headquartered in San Francisco, California.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2009

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