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Mid-level, popular backend role in Bangalore at a known industrial AI firm increases candidate competition.
Skills transfer well, but industrial-domain knowledge slightly increases hiring bias.
Explicit 1–3 years requirement and core backend/data tech expectations enforce moderate filtering.
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Develop and maintain scalable backend applications, microservices, and data pipelines handling large volumes of industrial data.
Build and optimize data processing workflows and REST APIs for high-performance distributed systems.
Collaborate cross-functionally to deliver new features and maintain code quality through reviews and best practices.
1–3 years of professional experience in software engineering or backend development.
Strong programming skills in Java, Scala, or Python.
Basic knowledge of distributed systems, microservices, and REST APIs.
Experience with cloud platforms such as AWS, Azure, or GCP is a plus but not mandatory.
Experience or familiarity with data engineering technologies like Spark, Kafka, or Flink.
Comfortable working with large datasets and optimizing data workflows in distributed/cloud-native environments.
Operates well in a collaborative, fast-paced engineering environment with attention to code quality and maintainability.