Description

Backend Engineer with 7+ years of experience building secure, scalable Python APIs and data-driven applications for SaaS and enterprise clients.

I help teams ship reliable backend systems — from designing FastAPI services and PostgreSQL schemas to containerizing applications with Docker/Kubernetes and automating infrastructure with Ansible.

What I bring to your project:

Production-grade REST APIs in Python (FastAPI, Django) with async endpoints, request validation, and clean architecture

Robust PostgreSQL database design and query optimization under real production workloads

Secure authentication flows (OAuth2, JWT) and well-tested code with Pytest

DevOps expertise: Docker, Kubernetes (CKA & CKAD certified), CI/CD pipelines, Ansible automation

Infrastructure automation and backend tooling that removes manual bottlenecks

Typical deliverables:

SaaS backend features from spec to production

API design, development, and documentation

Database schema design and performance tuning

Dockerization and Kubernetes deployment setups

Backend audits, refactoring, and performance improvements

Recent experience includes Tracktor (SaaS), Geodis (IT automation platform), and CNRS/CERN (large-scale scientific data systems — Rucio, JupyterHub on Kubernetes).

I work closely with product managers and frontend developers, translating requirements into clean, maintainable solutions. Fluent in French and English — clear communicator and proactive team player.

Languages

English
Native or bilingual
Turkish
Native or bilingual
French
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

Tracktor SAS,
Backend Engineer
August 2023 - January 2026 (2 years and 5 months)
Paris, France
• • Designed, developed, and maintained scalable backend services for a SaaS product, focusing on reliability, performance, and clean architecture.
• • Built and evolved RESTful APIs using FastAPI, including request validation, dependency injection, background tasks, and async endpoints where required.
• • Designed PostgreSQL database schemas, optimized complex queries, indexes, and joins to improve performance under production workloads.
• • Implemented authentication and authorization flows using OAuth2 and JWT, ensuring secure access control across services.
• • Applied DevOps best practices, containerizing services with Docker and preparing applications for deployment across environments.
• • Wrote and maintained bash scripts to automate backend infrastructure tasks, environment setup, and operational workflows.
• • Implemented unit and integration tests using Pytest, increasing code reliability and reducing regression issues during feature releases.
• • Collaborated closely with frontend developers and product stakeholders- , translating product requirements into backend solutions and ensuring smooth API integration.
FastAPI PostgreSQL Docker Python
Geodis IT Infrastructures,
Software Engineer
May 2022 - July 2023 (1 year and 2 months)
Le Bourget-du-Lac, France
- Geodis Automation Platform
• • Developed a Python/Django-based web platform to automate IT infrastructure operations via a centralized web interface.
• • Designed backend logic to trigger, monitor, and manage automation workflows, integrating infrastructure-level actions into user-facing applications.
• • Created and maintained Ansible playbooks to automate repetitive infrastructure tasks, reducing manual intervention and operational errors.
• • Worked within an Agile development process, actively using JIRA for sprint planning, task tracking, and delivery coordination.
• • Produced and maintained technical documentation in Confluence, ensuring knowledge sharing across infrastructure and development teams.
CNRS,
Software Engineer
September 2020 - April 2022 (1 year and 7 months)
Annecy-le-Vieux, 74940 Annecy, France
Rucio (CERN Data Management System)
• • Contributed to the development and maintenance of large-scale data storage systems supporting a scientific datalake environment.
• • Developed Jupyter Notebooks tailored to scientists' data access and analysis requirements, bridging infrastructure and research needs.