Python Developer Lead

Role & responsibilities

Experience in performance profiling and optimization in Python (cProfile, PySpy/PyFlame) across microservices and event pipelines, including async I/O analysis, memory/CPU hotspot detection, and SQL/query tuning.

Proven experience building resilient backend jobs and schedulers (cron, Celery/Celery Beat, Airflow), including idempotent batch processing, retries with backoff, and operational monitoring.

Strong proficiency with relational databases (e.g., PostgreSQL, SQL Server) and experience working with read replicas and managing data consistency.

Demonstrated ability to understand and translate complex business requirements from technical documentation or subject matter experts into functional code.

Knowledge of containerization (Docker) and container orchestration concepts with Kubernetes.

Excellent collaboration and communication skills, with the ability to work effectively with both technical and non-technical stakeholders.

Preferred/Recommended Skills

Experience in supply chain, logistics, manufacturing, or e-commerce domains, especially with inventory or complex resource management systems.

Direct experience migrating legacy applications (especially from platforms like IBM i/AS400 or languages like RPG/COBOL) to modern technology stacks.

Experience building and maintaining applications on cloud platforms (AWS, Azure, GCP).