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Popular backend role, mid-level (4+ yrs), metro locations, and broad skillset increase applicant competition.
Backend, cloud, and data engineering skills are broadly transferable across industries.
Explicit 4+ years requirement plus many mandatory backend-cloud-data technologies enforces strict filters.
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Design, develop, and maintain scalable Python-based backend services, APIs, and microservices supporting data, AI, and analytics applications.
Build and optimize distributed systems integrating with large-scale data platforms using Kafka, Apache Beam, Apache Flink, and cloud-native technologies.
Lead technical initiatives across the software lifecycle, mentor engineers, and participate in architecture and technical decision-making.
4+ years of experience in Backend or Software Engineering.
Strong proficiency in Python, FastAPI, Flask, OOP, software design principles, and building scalable REST APIs and microservices.
Experience with Kafka or similar event-streaming technologies, Docker, Kubernetes, Terraform, and CI/CD pipelines.
Experience with cloud platforms such as AWS, GCP, or Azure; work location Ahmedabad or Pune.
Experience in backend engineering roles involving cloud-native, distributed systems, and scalable microservices architectures.
Familiarity with modern data engineering concepts, ELT/ETL pipelines, and workflow orchestration technologies (Airflow/Dagster) strongly preferred.
Able to lead technical designs and mentor junior engineers in a cross-functional environment focused on data, AI, and real-time applications.