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Firas FrikhaFF

Firas Frikha

Software Engineer

€350/day
Rotterdam, NL
3-7 years
Scala
Python
docker
Kubernetes
Java

Average response time: 1 hour

About Firas

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.

  • English

    Native or bilingual

  • French

    Conversational

Remote only
Primarily works remotely

Experience

  • (Nielsen)
    Software Engineer
    DIGITAL AND IT
    December 2022 - Today (3 years and 6 months)
    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
    RETAIL (LARGE RETAILERS)
    August 2021 - December 2022 (1 year and 4 months)
    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
    BANKING AND INSURANCE
    September 2020 - August 2025 (4 years and 11 months)
    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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Education

  • 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

Skill set

Back-End development
Event-driven architecture
Agile method
Data science
Neo4j
JavaScript

Categories