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Mid-level backend AI role, metro location, broad tech stack, and popular title drive high applicant competition.
Systems and distributed-data skills are transferable across industries but AI/security domain adds moderate specialization.
Explicit 5+ years plus distributed systems, Kafka, Cassandra, and production reliability requirements enforce strict shortlisting.
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Design and develop highly available, secure authentication and API backend microservices for real-time sensitive data processing at scale.
Maintain and evolve mission-critical databases and services to support platform reliability and performance.
Optimize, operate, and instrument auto-scaling streaming data services for low latency and visibility per customer usage.
5+ years of software engineering experience.
Proficiency in one or more systems/high-level programming languages such as Go, Python, Java, or C++.
Experience building scalable (thousands of RPS), reliable systems with production-quality deployment, monitoring, and three 9's availability.
Experience with large-scale distributed storage/databases (SQL/NoSQL), real-time data pipelines (Kafka, Hadoop, Hive, Storm), and agentic AI systems at scale.
Demonstrated ability to architect and lead development of complex, large-scale backend systems handling high data volumes.
Experience working with real-time data streaming and auto-scaling microservices in a high-throughput environment.
Background in AI platform development involving semantic ingestion, summarization, and orchestration of large numbers of parallel AI agents.