Sr. Engineering Manager, API Shield

Position Overview:
We are seeking a skilled and experienced Senior Engineering Manager to lead our API Shield product engineering team and Application Security Platform team. The ideal candidate will have a strong background in both technical leadership and domain expertise in API security, and platform and service. Candidates with prior research, data science, and fraud detection methodologies are strongly preferred.
About the team:
The API Shield team at Cloudflare is a diverse and talented group of engineers and data scientists dedicated to staying ahead of emerging threats and trends in the field API Security and protecting our clients and their customers from attack and fraudulent activities. Our team operates at the intersection of cutting-edge technology and domain expertise, leveraging advanced machine learning algorithms, data science and analytics, and engineering to develop innovative solutions for API Security. We foster a collaborative and inclusive work environment where creativity and critical thinking are encouraged, and where every team member has the opportunity to make a meaningful impact.
Responsibilities:
Lead and manage a multidisciplinary team of engineers, data scientists, and security experts that are responsible for developing and maintaining Cloudflare’s industry leading API Shield product, and all its encompassing systems and tools.
In addition, you will lead a newly formed cross-functional team within Cloudflare’s Application Security organization. The new team is to expand on an innovative system the API Shield team has built and make it into a cross-team platform to support and serve other products needs in the Application Security organization.
Collaborate with cross-functional teams including product management, security researcher and analysts to define and prioritize technical initiatives that enhance our API Shield product capabilities.
Drive the design, implementation, and optimization of scalable, high-performance systems the teams are responsible for.
Provide technical guidance and mentorship to team members, fostering a culture of continuous learning and innovation.
Oversee the end-to-end development lifecycle, from requirements gathering and design to deployment and monitoring, ensuring timely delivery of high-quality solutions.
Stay abreast of the latest developments in security, data science, and fraud detection technologies, and incorporate best practices and emerging trends into our technical strategy.
Collaborate with external partners and stakeholders to identify opportunities for collaboration and technology integration.
Requirements:
At minimum, Bachelor's degree or higher in Computer Science, Engineering, or a related field. M.S. and Ph.D degrees are highly desirable.
8+ years of experience in software engineering, with at least 4 years in a leadership or management role.
Strong background in API security, data science, and fraud detection, with hands-on experience in designing and implementing security and fraud detection algorithms and systems.
Proficiency in programming languages such as Python, Go, or Rust, and experience with data analysis and machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
Experience with big data technologies such as Kafka, and familiarity with Clickhouse.
Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders.
Proven track record of successfully leading and motivating teams in a fast-paced, dynamic environment.
Preferred Qualifications:
Advanced degree (Master's or Ph.D.) in Computer Science, Engineering, Statistics, or a related field.
Experience with building and deploying production-grade machine learning models at scale.
Familiarity with regulatory compliance requirements related to fraud detection and data privacy (e.g., GDPR).
Experience working in the fintech, e-commerce, or cybersecurity industries.
Location: London, United Kingdom
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