Job Title: Python Backend Developer
Experience: 5 15 Years
Location: PAN India
Notice Period: Immediate to July Joiners
We are looking for a highly skilled Python Backend Developer with strong experience in Python, AWS, REST API development, and Databricks . The ideal candidate will be responsible for developing scalable backend applications, cloud-native integrations, and data platform services while ensuring high availability, performance, scalability, and observability.
Key ResponsibilitiesDesign, develop, and maintain scalable backend applications using Python.
Develop and maintain RESTful APIs for platform and integration services.
Build and manage workloads using Databricks.
Develop and support Databricks-to-HBase integrations.
Design and implement secure, scalable multi-tenant backend solutions.
Implement monitoring, logging, dashboards, and observability solutions.
Monitor application performance and proactively resolve production issues.
Collaborate with cross-functional teams including platform, cloud, and engineering teams.
Follow AWS best practices for security, scalability, reliability, and cost optimization.
5 15 years of hands-on experience in Python Backend Development.
3+ years of hands-on experience with AWS Cloud services (EC2, S3, IAM, Lambda, CloudWatch, etc.).
Strong experience in REST API development.
6 months to 2 years of hands-on experience with Databricks.
Good understanding of distributed systems and cloud-native application development.
Strong problem-solving, debugging, and analytical skills.
Experience with HBase integration.
Knowledge of Spark and Databricks clusters.
Experience with monitoring, logging, dashboards, and observability tools.
Experience designing multi-tenant applications.
Exposure to cloud-native architectures, microservices, and performance optimization.
This is strictly a Python Backend Developer role.
Profiles that are NOT suitable:
ETL Developers
Big Data Developers
Data Engineers
Database Developers
DBAs
SQL-only Developers
If you have strong experience in Python, AWS, REST APIs, and Databricks , wed love to hear from you.
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