DevJobs

Development Team Lead - Digital Risk Protection

Overview
Skills
  • SQL SQL
  • Python Python
  • Kafka Kafka
  • ML ML
  • MongoDB MongoDB
  • Elasticsearch Elasticsearch
  • Redis Redis
  • DevOps DevOps
  • Bitbucket Bitbucket
  • CI/CD CI/CD
  • Jenkins Jenkins
  • AWS AWS
  • Distributed systems
  • NLP pipelines
  • LLM-based workflows
  • Software architecture
  • SQS
  • Classification models
  • Scrapers
  • LangChain
  • Web scraping
  • LlamaIndex
  • CrewAI
  • Crawlers
  • Content extraction pipelines
  • Prompt engineering
  • Orchestration frameworks
  • AI
  • AI agents

Digital Risk Protection (DRP) Team Lead

We are looking for a technically strong, AI-driven engineering leader to own our Digital Risk Protection domain - the front line against phishing, brand impersonation, and social media threats targeting our customers. This role combines hands-on engineering depth with team leadership and a relentless drive to automate protection at scale.


Key Responsibilities

  • Lead and mentor your engineering team; set technical direction, run code reviews, and grow individual contributors into owners.
  • Own the end-to-end engineering of phishing detection, takedown workflows, and social media impersonation protection - from data ingestion to customer-facing outcomes.
  • Design and drive AI-powered automation across the DRP pipeline: intelligent detection models, automated takedown orchestration, and adaptive response workflows that reduce manual intervention.
  • Define and execute on a vision for self-improving protection systems - where AI identifies new threat patterns, prioritizes takedown candidates, and learns from resolution outcomes.
  • Collaborate closely with Product, Threat Intelligence, and platform teams to deliver high-impact features with speed and quality.
  • Track and own key delivery and quality metrics; lead technical debt reduction and architecture improvements.


Qualifications

  • 5+ years of hands-on backend development experience.
  • 2+ years leading an engineering team or acting as a tech lead in a product organization.
  • Deep proficiency in Python and experience working with Elasticsearch, SQL, MongoDB, and Redis.
  • Experience with message queue systems such as SQS and Kafka in production environments.
  • Cloud experience with SaaS products - AWS preferred.
  • Proficiency with software architecture: designing scalable, maintainable systems in a distributed environment.
  • Hands-on experience building and shipping AI/ML-powered features in production - classification models, NLP pipelines, or LLM-based workflows.
  • Practical experience with AI agents, prompt engineering, or orchestration frameworks (e.g., LangChain, LlamaIndex, CrewAI).
  • Demonstrated ability to apply AI to automate detection, triage, or response workflows - not just prototype, but deliver at scale.


Advantages

  • Background in cyber security, threat intelligence, or digital risk domains.
  • Experience building detection or classification systems (phishing, fraud, brand abuse).
  • Familiarity with takedown automation workflows or brand protection platforms.
  • Web scraping experience - building or maintaining crawlers, scrapers, or content extraction pipelines.
  • DevOps and CI/CD skills: Bitbucket, Jenkins, or similar tooling.


Key Attributes

  • Strong sense of ownership - you drive outcomes, not just tasks.
  • AI-first mindset: you ask "how do we automate this intelligently?" before "how do we build this manually."
  • Technically credible with your team while thinking strategically about the product.
  • Clear communicator who bridges engineering depth with cross-functional alignment.
  • Energized by the mission: protecting real people and organizations from real threats.

Check Point Software Technologies