Description

Backend Engineer with 5+ years delivering Scala, Java, and Python services on AWS. I design and harden microservices and event-driven systems, optimize PostgreSQL and Neo4j, and automate delivery with Docker/Kubernetes, Terraform, and modern CI/CD. Recent wins include cutting p95 response times by ~25%, stabilizing flaky services, and reducing deployment friction with trunk-based pipelines and observability (metrics/logs/traces). I’m a hands-on builder who communicates clearly and leaves teams with clean docs and measurable outcomes.

Langues

Anglais
Bilingue ou natif
Français
Capacité professionnelle limitée

Préférences en matière de lieu de travail

En télétravail uniquement

Travaille majoritairement à distance

(Nielsen)
Software Engineer
AGENCE & SSII
décembre 2022 - Aujourd'hui (3 ans et 6 mois)
Rotterdam, Netherlands
• Built and optimized multiple Scala/Akka microservices, increasing scalability and reducing maintenance overhead.
• Engineered a gRPC communication layer, cutting inter-service latency by 25%.
• Designed Event Sourcing & CQRS patterns, processing 1M+ events/day with sub-second latency and strong data consistency.
• Migrated a critical .NET service to Scala, improving response times by 25%.
• Automated CI/CD pipelines in GitLab, accelerating deployments and reducing manual interventions.
• Developed integration test suites with 85% coverage, reducing regressions before production.
Back-End development Event-driven architecture Scala Python Agile method
(Cognira)
Software Engineer
GRANDE DISTRIBUTION
août 2021 - décembre 2022 (1 an et 4 mois)
Tunis, Tunisia
• Delivered 20+ REST API endpoints with Scala & Akka HTTP for seamless service integration.
• Designed a Cassandra data model reducing redundancy by 25% and improving query performance by 30%.
• Implemented Redis caching, reducing API response time from 500ms → 150ms (70% faster).
• Containerized backend microservices with Docker and orchestrated deployments on Kubernetes, achieving scalable and reliable application deployment.
• Integrated Jenkins CI/CD pipelines achieving 80% test coverage, speeding delivery cycles by 40%.
• Documented APIs using Swagger for easy integration by client teams.
Scala docker Kubernetes Python
(Equalios)
Data Scientist
BANQUE & ASSURANCES
septembre 2020 - août 2025 (4 ans et 11 mois)
Tunis, Tunisia
• Developed an OCR pipeline OpenCV, processing 10K+ documents at 95% accuracy.
• Built classification models with scikit-learn & spaCy, achieving 92% accuracy in document categorization.
• Developed secure JWT-authenticated REST APIs in Python, reducing unauthorized requests by 30%.
• Maintained a Neo4j graph database to model client relationships for fraud detection.
Python Data science Neo4j Agile method

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S’inscrire pour les voir

Computer Science Engineering
ENSI (National School Of Computer Science)
2020
Computer Science Engineering
Pre Engineering Program
IPEIS (Sfax Preparatory Engineering Institute)
2017
Pre Engineering Program

Firas Frikha

Software Engineer

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