Education: Bachelor’s degree in Computer Science, Computer Engineering, or Information Systems, or equivalent work experience.
Experience: 5+ years of professional Python development experience, with a focus on high-volume web services.
Async & Eventing: Demonstrated experience with async Python patterns and building event-driven architectures (using tools like Kafka, Pub/Sub, SQS/SNS, or Cloud Tasks).
Database: Deep expertise in PostgreSQL and SQLAlchemy, with a specific ability to write performant raw SQL and optimize complex queries.
Reliability: Proven track record of implementing exactly-once processing, idempotency, and fault-tolerance in distributed systems
Testing: Strong experience writing comprehensive unit and functional tests.
Tools: Proficiency with Git, GitHub/Jira, and Linux environments.
Expert-level knowledge of FastAPI and modern Python web frameworks.
Experience with GCP (GKE, BigQuery, Pub/Sub) or Azure (AKS, EventHubs).
Familiarity with distributed task queues such as Celery or Redis.
Experience in Data Engineering concepts (ETL/ELT, Data Warehousing, Data Lakes).
Knowledge of container orchestration (Kubernetes/Cloud Run) and CI/CD tools (Cloud Build, Jenkins, GitHub Actions).
Familiarity with OAuth authentication flows and JWT.
Knowledge of Vue.js and modern JavaScript and TypeScript.
Familiarity with AI-assisted development tools in production environments
Experience working alongside data scientists or analytics teams.
