Jugurtha Mokhtari
@jugurthamokhtari
Senior Backend Engineer with 7+ years building scalable Node.js and Kafka systems.
What I'm looking for
I’m a Senior Backend Engineer with 7+ years of experience designing and building scalable, cloud-based systems. I focus on performance, scalability, and reliability, with deep expertise in Node.js, distributed architectures, and data processing pipelines (Kafka).
In recent roles at Adeo (Leroy Merlin Group), I designed and implemented scalable data pipelines (Node.js + Kafka) to process pricing and inventory data across multiple business units, while improving system reliability and data consistency in high-volume retail environments. Across teams at SNCF, Bombardier, and Audi, I built and deployed cloud-native services on GCP, managed infrastructure with Terraform and Kubernetes, implemented CI/CD pipelines with GitHub Actions, and monitored production systems with Datadog—achieving “zero run-related tickets” by significantly improving system stability and reliability in production environments.
Experience
Work history, roles, and key accomplishments
Senior Backend Engineer
Adeo
Feb 2022 - Present (4 years 2 months)
Designed and implemented scalable Node.js + Kafka data pipelines for pricing and inventory data across multiple business units, improving system reliability and data consistency in high-volume retail environments. Built cloud-native services on GCP and supported production stability with Datadog monitoring, achieving zero run-related tickets.
Software Engineer
Bombardier Transportation
Sep 2018 - Sep 2021 (3 years)
Developed a multi-project platform for deploying embedded firmware in railway systems and built robust C++/Qt5 applications on Linux for mission-critical transportation workflows. Worked with Kafka and databases (PostgreSQL, MongoDB) alongside cloud and infrastructure tooling including GCP, Kubernetes, and Terraform.
Software Engineer Intern
SNCF
Feb 2018 - Aug 2018 (6 months)
Developed a MATLAB-based interface to anticipate train failures and applied signal processing techniques to improve predictive maintenance efficiency.
Quality Assurance Intern
Audi
Sep 2016 - Feb 2017 (5 months)
Developed desktop tools to ensure quality compliance of automotive components and supported production processes for Audi A1 manufacturing.
Education
Degrees, certifications, and relevant coursework
ENSMM
Engineering Degree, Mathematical Modeling, Simulation, Programming
2022 -
Engineering degree at ENSMM focused on mathematical modeling, simulation, and programming, with work on scalable data pipelines using Node.js and Kafka.
Private High School Saint-Rémi
Scientific A-levels (Maths speciality), Mathematics and Physics (Scientific track)
2013 - 2015
Grade: High honours
Scientific A-levels with a mathematics speciality, supported by intensive preparative courses in maths and physics with high honours.
Availability
Location
Authorized to work in
Job categories
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