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Youll collaborate with a top-tier R&D team and take your professional growth to the next level. Our backend infra teams work mainly with Python and Go, but we welcome talented backend engineers from any language background.

Example Projects

Build new integrations with emerging Ad Networks, including designing ingestion flows, authentication logic, and data normalization mapping.

Optimize the real-time attribution pipeline to reduce latency and improve throughput by redesigning core processing components.

Develop data-quality services that automatically detect anomalies, missing fields, or partner inconsistencies.

Create a unified monitoring dashboard for partner integrations, combining metrics, error rates, and SLA enforcement.

Improve resiliency by adding retry logic, dead-letter queues, and idempotency handling for billions of daily events.

Key Responsibilities

Build and optimize data pipelines handling large volumes of streaming and batch data in real time with high reliability and low latency.

Design, develop, and maintain backend services responsible for integrating with a wide variety of APIs, webhooks, and partners.

Own features end-to-end architecture, implementation, deployment and monitoring.

Ensure data accuracy and consistency across ingestion, transformation, and storage layers.

Collaborate with product, data engineering, and customer-facing teams to understand edge cases, fix production issues, and improve partner integrations.

Integrate and leverage top industry technologies such as Kafka, Iceberg, DynamoDB, Postgres, EMR, Kubernetes, Druid, Snowflake, and more.