11/10/2026 updated
100 % available
Python Technical Lead
Cluj-Napoca, Romania
Only remote
Bachelor's Degree in Computer ScienceAbout me
I design and build Python systems, and I stay in the code while I lead the work. The work is mostly in cloud backends, data pipelines, and LLM/RAG products. I have more than 14 years in developing professional grade software produts, including seven years leading teams of up to 18.
Application Programming Interfaces (APIs)Apache AirflowDevOpsDjangoPython (Programming Language)PostgreSQLSQLAlchemyFlaskApache SparkFastAPIpandasData LakeApi GatewayTerraformData Pipeline
Python Development
Expertise in Python and its major frameworks including Django, Django Rest Framework, FastAPI, Flask, SQLAlchemy, and pandas, applied across high-traffic production systems and AI-driven platforms.
Cloud and DevOps
Hands-on experience with cloud architecture and DevOps practices using AWS, Azure, GCP, Kubernetes (AWS EKS), Terraform, Docker, and CI/CD pipelines to build scalable and efficient infrastructure.
Data Engineering
Solid background in data engineering with tools such as Airflow, EMR, Databricks, PostgreSQL, MySQL, Redis, and query optimization and indexing for large-scale data pipelines and data lake architectures.
AI and LLM Integration
Practical experience with LLM integration, RAG pipelines, AI product development, AI evaluation, and RLHF, applied in supplier monitoring and conversational product search solutions.
Microservices Architecture
Design and development of Python microservices for e-commerce pricing and inventory management using Flask, Django Rest Framework, SQLAlchemy, Kubernetes, SNS, SQS, API Gateway, and Lambda.
PostgreSQL Optimization
Debugging and optimization of PostgreSQL using query plans, indexing, and read replicas to split read and write traffic, leveraging AWS RDS Performance Insights and New Relic.
Machine Learning and Forecasting
Application of machine learning to forecasting services, including retail dynamic pricing and demand forecasting using Django, FastAPI, Azure Databricks, and AI Foundry.
Engineering Leadership
Building and leading engineering teams from scratch, owning hiring, onboarding, coaching, 1:1s, delivery, and team operating norms while remaining hands-on in technical development.
Expertise in Python and its major frameworks including Django, Django Rest Framework, FastAPI, Flask, SQLAlchemy, and pandas, applied across high-traffic production systems and AI-driven platforms.
Cloud and DevOps
Hands-on experience with cloud architecture and DevOps practices using AWS, Azure, GCP, Kubernetes (AWS EKS), Terraform, Docker, and CI/CD pipelines to build scalable and efficient infrastructure.
Data Engineering
Solid background in data engineering with tools such as Airflow, EMR, Databricks, PostgreSQL, MySQL, Redis, and query optimization and indexing for large-scale data pipelines and data lake architectures.
AI and LLM Integration
Practical experience with LLM integration, RAG pipelines, AI product development, AI evaluation, and RLHF, applied in supplier monitoring and conversational product search solutions.
Microservices Architecture
Design and development of Python microservices for e-commerce pricing and inventory management using Flask, Django Rest Framework, SQLAlchemy, Kubernetes, SNS, SQS, API Gateway, and Lambda.
PostgreSQL Optimization
Debugging and optimization of PostgreSQL using query plans, indexing, and read replicas to split read and write traffic, leveraging AWS RDS Performance Insights and New Relic.
Machine Learning and Forecasting
Application of machine learning to forecasting services, including retail dynamic pricing and demand forecasting using Django, FastAPI, Azure Databricks, and AI Foundry.
Engineering Leadership
Building and leading engineering teams from scratch, owning hiring, onboarding, coaching, 1:1s, delivery, and team operating norms while remaining hands-on in technical development.
Experience
Professional experience10+ years
Freelancer since2025
Languages
EnglishFluentFrenchBasic knowledgeRomanianNative speakerSpanishBasic knowledge
Project history
Own architecture, product delivery, and technical leadership for AI and data products. Led architecture and implementation across client products including retail pricing and forecasting, supplier monitoring, property management systems, and conversational product search. Technologies: Python, Django, FastAPI, pandas, faiss, LLM integration, PostgreSQL, Redis, Azure, GCP, Terraform, GitHub.
Built the engineering team from scratch to 14 developers and 4 DevOps engineers. Developed Python microservices for e-commerce pricing and inventory management. Worked on big data pipelines, Data Lake architecture, and forecasting services using AWS Kinesis, Glue, Athena, Airflow, and EMR.
Led delivery and architecture for PBS platforms including the main PBS website, web player, and dedicated fundraising software platform. Architected platforms with Python, Django, Django Rest Framework, and JSON API. Used AWS, Docker, and Terraform for cloud delivery. Technologies: Python, Django, PostgreSQL, MySQL, Redis, Memcached, AWS, Bitbucket, Atlassian Suite.