Senior Data
il y a 1 semaine
*Who we are*
CryptoNext Security is a deeptech startup specializing in
post-quantum cryptography
. We help businesses and institutions prepare for a world where quantum computers will challenge today's security standards.
Our clients include major financial institutions, defense actors, telecom operators, and global enterprises seeking to future-proof their cryptography.
*On a daily basis, you will*
As Senior Data & Platform Engineer, you will lead the design, setup, and operation of the entire data backbone powering
COMPASS
, our observability and orchestration platform for post-quantum cryptography deployments.
Your missions include:
*Data Modeling & Governance*
- Define and maintain the
end-to-end data model
for COMPASS (entities, relationships, vocabulary, lifecycle). - Translate product requirements into
robust database schemas
, indexing strategies, and normalization/denormalization choices. - Ensure
semantic consistency
and data governance rules across all services.
*Ingestion, Streaming & Storage*
- Design, validate, and maintain ingestion pipelines using
Kafka
, ensuring data correctness and consistency. - Define the
canonical formats
exchanged across Kafka (ingestion), PostgreSQL (storage), and Elasticsearch (search). - Validate and standardize data structures produced by probes, sensors, and backend services.
*Backend Collaboration & API Contracts*
- Work closely with backend teams to design
API-level data contracts
aligned with the data model. - Optimize queries, indexes, and persistence strategies for real-time workloads and analytics.
*Observability & Data Quality*
- Contribute to platform-wide observability by defining
structured logs
, metadata standards, and ingestion patterns. - Promote best practices for
data quality
, versioning, retention, and schema evolution.
Requirements
*The skills you'll need
Must-have*
- 15+ years
of experience in software or data engineering in a distributed or complex environment. - Master's degree from a French engineering school or European equivalent.
Deep expertise in:
Data modeling
& relational schema design- PostgreSQL
administration & performance optimization - Kafka
(setup, topics/partitions, consumer groups, schema registry, monitoring) Elasticsearch / ELK stack
Strong hands-on experience with:
Stream processing architectures
- ETL/ELT workflows
Data lifecycle management
Proven ability to design data flows with
clean, contract-based schemas
.- Strong commitment to code quality, documentation, and operational reliability.
- Fluency in English.
*Bonus*
- Experience with ClickHouse, Grafana, or Prometheus.
- Understanding of secure data handling and cryptographic components.
- Familiarity with AWS/GCP or hybrid on-prem architectures.
- Background in cybersecurity, observability, or high-throughput systems.
- Experience with large-scale data retention strategies and analytics workloads.
*The team you'll be joining*
You will work closely with:
- The
R&D engineering team
building CryptoNext's cryptographic and observability products. - Backend engineers designing APIs and distributed services.
- The Head of Engineering and CTO for architecture, strategy, and long-term product evolution.
- Product and QA teams to ensure data quality, reliability, and consistency across the platform.
You will be the
reference person for all data-related decisions and architecture
within the COMPASS squad.
*Our recruitment process- HR Intro
- a first conversation to understand your background and expectations.
- Technical Interview
with a senior engineer and the Head of Engineering (Kafka, PostgreSQL, ELK, data modeling).
- CTO Meeting
- deep dive on architecture, COMPASS roadmap, and cultural fit.
- Offer
& onboarding — welcome to CryptoNext
Benefits
What's in it for you at CryptoNext*
- Join a
deeptech company
at the forefront of post-quantum cybersecurity. - Build the
core data infrastructure
of a cutting-edge observability platform. - Collaborate with world-class cryptographers and software engineers.
- Flexible hybrid/remote policy and office in central Paris.
- Competitive compensation aligned with seniority and expertise.
- Direct impact on a product used by major financial and defense clients.
- A chance to shape the
future of quantum-safe data engineering
.
-
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