Design, develop, and maintain scalable backend services and microservices for high-volume
Build distributed data pipelines with Spark, Kafka, Flink.
Develop reliable APIs and backend services focused on scalability and availability.
Work with large datasets; optimize data processing, storage, retrieval.
Contribute to system design and architecture for scalability and reliability.
Troubleshoot production issues; root cause analysis and long-term fixes.

🎯 Requirements

1–3 years of experience in software engineering, backend development, or distributed systems.
Strong programming in Java, Scala, or Python, with solid data structures and OOP.
Hands-on experience with backend services, microservices, REST APIs, and SQL/NoSQL databases.
Good understanding of distributed systems, scalability, performance, and reliability.
Experience with distributed data tech: Spark, Kafka, or Flink.
Experience with AWS/Azure/GCP and Docker/Kubernetes; cloud-native technologies.

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