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SDE III - Engineering

Job Overview

We’re looking for a high-performing SDE-III with deep backend engineering expertise and strong foundations in data engineering that power the SSP Exchange team – a next-generation, AI-powered engineering platform working towards transforming ourselves into an…

Key points

  1. Design and develop large-scale backend services, APIs, and microservices for high-throughput data systems.

  2. Build and maintain real-time and batch data pipelines using technologies like Apache Spark, Kafka, Flink, etc.

  3. Collaborate with product managers, data scientists, data analysts and engineers to translate complex requirements into scalable solutions.

  4. Optimize performance and reliability of distributed systems; ensure low-latency data ingestion and processing.

  5. Strong programming skills in Java, Scala, or Go; familiarity with Python for data use cases is a plus.

  6. Solid understanding of data structures, algorithms, distributed systems, and concurrency.

  7. Experience with modern data infrastructure (e.g., Spark, Kafka, Airflow,Databricks, Presto, ClickHouse).

  8. Exposure to cloud-native architecture (GCP/Azure) and containerization (Kubernetes, Docker).

Skills

Machine LearningGenerative AIPythonJavaMicroservicesAzureGoogle CloudDocker

Experience: 5–8 years

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