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VC-backed Bangalore backend leadership role with attractive AI-platform scope and specialized technical requirements.
Domain-specific platform, data-pipeline, and LLM experience makes fit less transferable across unrelated industries.
Explicit 8+ years, production leadership, and mandatory Java/Kafka/Kubernetes plus LLM experience increase filter strictness.
Lead and scale an AI-native engineering team responsible for building the AI connector framework that autonomously generates, tests, and repairs database connectors for 150+ source systems.
Own development of highly scalable, reliable platform services and database connectors powering mission-critical data pipelines for 2,000+ customers processing 100 billion records monthly.
Drive standards for observability, reliability, security, and auditability embedded in all team outputs, managing complex challenges like exactly-once delivery, multi-tenancy, and mid-flight schema changes.
8+ years experience in backend or distributed systems engineering.
At least 1 year leadership experience, formal or informal, leading engineering teams.
Proficient in Java or another JVM language with hands-on experience using Kafka and Kubernetes in production environments.
Work Experience Required: 8+ years backend/distributed systems; leadership experience noted; notice period not explicitly mentioned.
Experienced in managing production systems including on-call, incident response, and SLA enforcement.
Practical experience integrating AI/LLM technologies such as agents, evaluations, or retrieval systems into production software.
Able to make autonomous architectural decisions and build or grow engineering teams, with direct access to senior leadership and a focus on blending coding with team management.