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You will join the Public Intelligence team, whose mission is to leverage public data to detect exposed secrets, map them to the correct company, assess their severity, and enable timely and relevant alerts for customers and prospects. The team works on ingesting public data (notably from GitHub and other sources), identifying the owning organization behind exposed secrets, analyzing the impact of these exposures, and evolving current systems toward more agentic and real-time architectures. The existing systems are mature and battle-tested. We are now at a pivotal moment: the goal is to redesign the end-to-end architecture to make it more robust, scalable, and aligned with significantly larger ambitions, including an agentic layer.
Job Responsibility
Design and implement the end-to-end data architecture
Build real-time systems, from design through production deployment
Be hands-on on the most complex and critical technical challenges
Design monitoring, maintenance, and alerting systems around the data pipeline
Mentor and raise the technical bar within the team through code reviews and knowledge sharing
Structure engineering processes and facilitate collaboration across backend, ML, Data, and product teams
Contribute to the technical roadmap in close collaboration with the Engineering Manager and Product Manager
Requirements
7+ years of experience in data engineering, with a strong track record building and operating large-scale, production-grade data pipelines
Strong expertise in distributed systems and real-time architectures (streaming, event-driven systems)
Strong experience with AWS, Terraform, Docker, and Kubernetes in production environments
Strong experience with ClickHouse or similar large-scale analytical databases
Hands-on engineering mindset: ability to contribute directly to production code on critical systems, not just design
Proven experience redesigning or refactoring existing production architectures
Strong ownership mindset: you proactively identify problems and drive solutions end-to-end
Experience mentoring engineers and raising the technical level of a team
Excellent communication skills and ability to work effectively with backend, ML, Data and Product teams
Fluent English in an international environment
Nice to have
Experience with large-scale search systems (Elasticsearch, OpenSearch)
Familiarity with agentic systems or LLM-based architectures applied to data pipelines
Experience in high-growth startups or scale-ups
What we offer
Package that includes BSPCE
Lunch voucher (Swile, 9€ at 50%)
Sponsored Wellpass (gymlib)
Non-charged health insurance for children (Sidecare / Generali)
Up to €300 to improve your home office set-up
Yearly holiday allowance
Referral bonus of 4000€ for any new Guardian we might hire thanks to you
Team building: monthly budget dedicated to each employee that you can spend as you wish, with colleagues (latest examples to date: Michelin star restaurant, karaoke, stand-up show, kitesurfing week-end, ...)