Top Tech Jobs & Startup Jobs in Delhi

Analyze business and operational performance across food delivery, services, and logistics. The role involves querying and validating data, investigating performance trends and root causes, modeling unit economics and profitability, evaluating pricing and promotional impacts, conducting cohort and retention analysis, and translating findings into actionable recommendations for stakeholders.

Lead an 8-10 engineer team owning courier systems (dispatch, matching, pricing, ETA). Set technical direction, drive data-driven decisions and experiments, partner with data science, ensure reliability and scalability of low-latency distributed systems, and own hiring, performance, and operational excellence.

Ensure platform reliability and scalability by collaborating with development teams to design infrastructure and CI/CD pipelines, build monitoring/alerting, troubleshoot production incidents, participate in on-call rotations, automate configuration and deployments, maintain upgrades, improve security/compliance, mentor junior engineers, and drive process and organizational improvements.

Lead backend engineering efforts building highly concurrent, low-latency systems using Ruby on Rails and Go. Own architecture, performance tuning (PostgreSQL, Redis), APIs (REST/gRPC), observability and CI/CD. Mentor engineers, drive design docs/RFCs, resolve system bottlenecks, and balance short-term delivery with long-term architectural stability.

Build, deploy, and maintain ML and optimization models for a quick-commerce marketplace (matching, pricing, recommendations, ETA). Design experiments and causal analyses, engineer features from messy geospatial and conversational data, own production ML pipelines, monitor model health, and collaborate cross-functionally to deliver reliable, incremental improvements.

Build and maintain scalable batch and real-time data pipelines using Kafka, Maxwell, Spark and dbt; design medallion-based data models; implement cloud-native data platforms (S3, Trino, BigQuery); optimize performance, ensure data quality, observability, and SLA adherence; enable analytics through trusted datasets and Metabase dashboards.