Senior Product Engineer

Senior Backend and Platform Engineer with 7+ years building distributed systems that actually hold up in production. I've led Kafka-based event pipelines, Kubernetes platform migrations, and real-time anomaly detection systems at companies ranging from Goldman Sachs-grade data engineering to B2B SaaS startups. What makes me different: I don't just write code — I own outcomes. At Sentisum I reduced NLP pipeline latency from 2 minutes to 30 milliseconds, saved $5K/month by self-hosting a vector database, and was the engineer customers called when things broke at 2am. At Sigmoid embedded with Goldman Sachs, I built financial data pipelines where correctness wasn't optional. My stack is Python and Java, Kafka, Kubernetes on AWS, FastAPI, PostgreSQL, Redis, and Elasticsearch. I'm comfortable from system design through to production incident ownership. I'm looking for a senior backend or platform engineering role at a high-scale product company — ideally one working on data-intensive, distributed, or AI-adjacent infrastructure where engineering decisions have real business consequences. Remote-friendly or Bengaluru-based.