Senior Python Developer
We are seeking an experienced Python Developer to design, build, and enhance complex enterprise-grade applications, data-intensive services, and automation platforms. This is a hands-on engineering role focused on delivering robust, secure, high-performance Python systems that operate reliably in distributed production environments. You will partner with product, data, and infrastructure teams to translate ambiguous business problems into scalable technical solutions.
Key Responsibilities: - End-to-end design, development, and advanced troubleshooting for large-scale Python applications - Build secure, production-ready Python code with attention to concurrency, fault tolerance, and observability - Create architecture and design artifacts to ensure performance and enterprise standards - Develop and optimize data processing for large datasets (ETL, validation, deduplication, enrichment) supporting batch and near-real-time workloads - Analyze data to support continuous product improvement, reliability, and cost efficiency - Develop reporting, dashboards, and data visualizations as needed for stakeholders - Identify defects, performance bottlenecks, and architecture weaknesses; implement improvements - Contribute to engineering best practices, conduct code reviews, and mentor less-experienced engineers - Participate in Agile development and CI/CD, ensuring stable deployments with testing, rollback, and monitoring - Collaborate with product managers, data scientists, operations engineers, and business analysts - Support operation
Senior Python Developer
We are seeking an experienced Python Developer to design, build, and enhance complex enterprise-grade applications, data-intensive services, and automation platforms. This is a hands-on engineering role focused on delivering robust, secure, high-performance Python systems that operate reliably in distributed production environments. You will partner with product, data, and infrastructure teams to translate ambiguous business problems into scalable technical solutions.
Key Responsibilities: - End-to-end design, development, and advanced troubleshooting for large-scale Python applications - Build secure, production-ready Python code with attention to concurrency, fault tolerance, and observability - Create architecture and design artifacts to ensure performance and enterprise standards - Develop and optimize data processing for large datasets (ETL, validation, deduplication, enrichment) supporting batch and near-real-time workloads - Analyze data to support continuous product improvement, reliability, and cost efficiency - Develop reporting, dashboards, and data visualizations as needed for stakeholders - Identify defects, performance bottlenecks, and architecture weaknesses; implement improvements - Contribute to engineering best practices, conduct code reviews, and mentor less-experienced engineers - Participate in Agile development and CI/CD, ensuring stable deployments with testing, rollback, and monitoring - Collaborate with product managers, data scientists, operations engineers, and business analysts - Support operation
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