Bounteous2mo ago

Python Lead / Senior Developer

IndiaFull Timesenior

Data ScienceOtherDeveloper

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Quick Summary

Overview

Job Description

Requirements Summary

●Education: Bachelor’s degree in Computer Science, Computer Engineering, orInformation Systems, or equivalent work experience. ●Experience: 5+ years of professional Python development experience, with a focus onhigh-volume web services.

Technical Tools

azurebigqueryfastapigcpgithub-actionsjavascriptjenkinsjirakafkakubernetespostgresqlpythonredissqltypescriptvueci-cddistributed-systemsetllinuxoauth

Job Description

Required Qualifications

●Education: Bachelor’s degree in Computer Science, Computer Engineering, orInformation Systems, or equivalent work experience.

●Experience: 5+ years of professional Python development experience, with a focus onhigh-volume web services.

●Async & Eventing: Demonstrated experience with async Python patterns and buildingevent-driven architectures (using tools like Kafka, Pub/Sub, SQS/SNS, or Cloud Tasks).●Database: Deep expertise in PostgreSQL and SQLAlchemy, with a specific ability towrite 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.

Preferred Qualifications

●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 (CloudBuild, 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.