Senior Backend Engineer

5 days ago


Bangalore, India DecisionX AI Full time

Title : Senior Backend Engineer | Founding Team Bengaluru / Hybrid Experience: 6–10 years Type: Full-time | Founding Team | We’re building a Self-Learning, Context-Aware Decision AI — one that uses Ontology, Context, and AI Agents to reimagine how humans and organisations make complex decisions. The future will be shaped not by those with the most data, but by those who decide best.” Our mission is bold yet simple — to build the last piece of Decision Intelligence humanity will ever need, empowering better choices for today’s world and for the futures yet to come. Headquartered in Bangalore and San Francisco, DecisionX is led by a global team advancing the next frontier of Reasoning and Decision AI. Data Backbone ETL/ELT pipelines for structured/unstructured data from ERP, APIs, warehouses, files Data models for time-series, hierarchical dimensions, multi-billion row aggregations OLAP query layers: sub-second performance on complex analytics Tech: ClickHouse, Druid, Snowflake, BigQuery, Redshift, Airflow, Kafka Backend & APIs Microservices architecture with clean boundaries and fault isolation Async processing, job orchestration, distributed workflows Tech: Python/Java/Go, Celery, Temporal, RabbitMQ, Redis, Kubernetes Agent Orchestration Error recovery, retries, human-in-the-loop patterns High-volume, high-dimensional datasets: sales, financials, operational KPIs Statistical/ML analytics: forecasting, outlier detection, correlation analysis Backend: ~6–10 years building distributed systems in production ~ Expert in Python, Java, or Go ~ Data: ETL/ELT pipelines processing millions of records daily Data warehouses/OLAP: Snowflake, Redshift, BigQuery, ClickHouse, or Druid Strong SQL, query optimization, data modeling (star schemas, time-series) Large-scale numerical datasets: financials, metrics, time-series AWS, GCP, or Azure in production Docker, CI/CD, infrastructure-as-code Monitoring/logging/alerting: Prometheus, Grafana, Datadog You've debugged distributed systems at 3 AM and shipped the fix Snowflake, when to denormalize, when to cache Bonus: Agentic AI, LLM orchestration, reasoning workflows excite you  Startup/founding team experience in the past  Enterprise decision intelligence is infrastructure, not a feature. You'll work at the intersection of distributed systems, data engineering, agentic AI, and decision science.



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