Staff Data Engineer
GitGuardian
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Benefits offered by this job
Job summary
GitGuardian is seeking a Senior Data Engineer to own the design and delivery of large-scale, real-time data pipelines. You will collaborate with backend, ML and data teams to redesign architectures for scale and robustness while contributing production code.
Join a Paris-based global cybersecurity scale-up with hybrid work in Paris and strong emphasis on ownership, mentorship, and real-time data processing across multiple data sources.
Qualifications
- 7+ years of experience in data engineering with production-grade, large-scale pipelines.
- Strong expertise in distributed systems and real-time architectures.
- Extensive production experience with AWS, Terraform, Docker and Kubernetes.
- Hands-on experience with ClickHouse or similar analytics databases.
- Ability to contribute production code, not only design.
- Experience redesigning or refactoring existing architectures.
- Strong ownership mindset and end-to-end problem solving.
- Experience mentoring engineers and lifting the team technical level.
- Excellent communication across backend, ML, Data and Product teams.
- Fluent English in an international environment.
Responsibilities
- Design end-to-end data architecture for scalable workflows.
- Build real-time data systems from design through production.
- Be hands-on on the most complex technical challenges.
- Design monitoring, maintenance, and alerting for data pipelines.
- Mentor teammates through code reviews and knowledge sharing.
- Coordinate engineering processes across backend, ML, Data and Product teams.
- Contribute to the technical roadmap with Engineering and Product leaders.
Skills
Tools
Job description
GitGuardian is a global cybersecurity scale-up. The company is based in Paris, New York City, Boston.
Our early investors include Scott Chacon, co-founder of GitHub, and Solomon Hykes, co-founder of Docker, alongside leading US and European VC firms. We raised our Series C in early 2026.
GitGuardian leads the way in securing the credential layer, helping organizations protect the secrets that let code, machines, and AI agents access systems with broad detection, identity context, and remediation at scale. Already trusted by 600K+ developers worldwide and by 50 of the Fortune 500!
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.
- Evolve the system from a deterministic approach to agentic systems, improving secret‑to‑company mapping accuracy and impact analysis.
- Redesign an existing multi‑service architecture into a horizontally scalable and maintainable system.
- Move from batch processing to real‑time processing, enabling secrets to be qualified within minutes of detection on GitHub.
- Extend the pipeline to new public data sources (Docker Hub, NPM, PyPI, etc.), beyond GitHub.
- Build a search‑oriented data architecture capable of handling hundreds of millions of secrets.
- Scale the system to full dataset coverage, whereas only a subset is currently processed.
In short: you will have real ownership over the architectural decisions that will define the next generation of the pipeline.
- 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.
- Backend: Python + Django, Go, RabbitMQ, Redis
- DB: Elasticsearch (+ Kibana), PostgreSQL, ClickHouse, Snowflake
- Frontend: React / Typescript
- Deployment: Docker, Terraform, AWS
Here’s what we consider essential for success in this role:
- 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.
- 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.
- Video call with a Talent Acquisition team member
- Interview with Jeremy (Chief Technical Officer) and Alexis (Engineering Manager) (1h)
- Technical interview with the team (2h)
- 4.1 Final interview with an Executive Manager
- 4.2 References check
- Package that includes stock‑options
- Spo n>Sponsored lunch vouchers (Swile)
- Sponsored Wellpass (gymlib)
- Non‑charged health insurance for children (Sidecare / Generali)
- Up to €300 to improve your home office set‑up
- Yearly holiday allowance
- 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, ...)
- Remote policy: hybrid (3 days/week at the office in Paris)
- Full, company‑wide access to cutting‑edge AI tools to stay ahead of the curve
- Opportunities for career development in the long term
- Referral bonus of 4000€ for any new Guardian we might hire thanks to you
Stack
Backend: Python (Django) Go, Rust
Frontend: JavaScript (React), TypeScript, React Query, Jest
DB: PostgreSQL, Elasticsearch (+ Kibana), MongoDB
Observability: Elastic Stack, Sentry, Grafana LGTM, OTEL
Deployment: ArgoCD, GitlabCI, Terraform
Runtime: Kubernetes (Karpenter, Istio)
Cloud providers: AWS and OVH
Message brokering: RabbitMQ, Redis
- Understand how GitGuardian works in this short video!
- Want to go even further? Check out our public roadmap!
- Check out the State of Secrets Sprawl Report to understand our mission and the industry.
- Our solutions are already used by hundreds of thousands of developers in all industries and GitGuardian platform is the n°1 app on the GitHub marketplace
- GitGuardian helps organizations find exposed sensitive information that could often lead to tens of millions of dollars in potential damage.
- More than 70% of our customers are in the United States.
- Many F500 companies use GitGuardian's platform.
- The Guardians are knowledgeable, committed, serious, aligned with the company’s mission, and true team players: always willing to help each other grow our skill sets!
- The team is diverse and we hail from more than 20 different countries.
- We are also agile, remote‑friendly, and fun people to work with.
- You will get trust & autonomy on your perimeter with a very transparent internal communication and a strong impact on the company development.
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