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Popular mid-level backend role in Bangalore at a VC-backed startup with broad streaming and AI requirements increases competition.
Backend and distributed-systems skills transfer broadly, but security and agentic AI specifics increase domain bias.
Explicit 5+ years plus production-scale, streaming, and DB requirements make screening stringent.
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Architect and build highly available, secure, low latency real-time microservices for sensitive data detection at scale.
Maintain and evolve mission-critical internal databases and streaming data services with auto-scaling and customer-level utilization instrumentation.
Ensure AI models downstream can scale for real-time inferencing and reliability at 3 nines uptime or better.
5+ years of work experience in backend software engineering.
Proficiency in one or more system/high-level programming languages (Python, Go, Java, C++).
Experience running scalable (thousands RPS) and reliable (99.9% uptime) backend systems.
Experience with large-scale distributed storage/database systems (SQL or NoSQL) and building/operating real-time complex data processing pipelines using Kafka, Hadoop, Hive, Storm, or Zookeeper.
Experienced in building and scaling Agentic AI systems involving semantic ingestion, summarization, and parallel agent orchestration.
Strong ability to decompose complex business problems and lead engineering teams toward scalable solutions.
Comfortable working in a high-scale environment handling substantial data volumes and real-time data streaming.