Senior Software Engineer
Cognite (company site, opens in a new tab)6–12 yrsBengaluruOn-siteDirect career pageEst. 30–55 LPA
Posted 2h ago
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Job description
Structured overview of role & requirements
About This Role
- Build and optimize distributed data pipelines and streaming systems for terabyte-scale industrial datasets and millions of events per second.
- Own low-latency APIs, large-scale data storage and retrieval, OLAP performance, and resilient production services.
- Design cost-efficient cloud data lakes and translate industrial data problems into scalable, production-grade platforms.
Minimum Requirements
- Work Experience Required: 6–12 years in distributed data systems, backend engineering, or platform engineering.
- Strong programming skills in Scala, Java, or Python.
- Experience with AWS, GCP, or Azure and data lake/object storage.
- Not explicitly mentioned in the JD: mandatory degree, notice period, or strict work-location requirement.
Ideal Candidate Profile
- Has hands-on depth in Spark performance tuning and Flink/Kafka streaming or batch workloads.
- Has scaled high-throughput systems, with relevant experience in JVM performance, REST/gRPC services, caching, observability, and distributed reliability.
- Best aligned with large-scale data or OLAP platforms; industrial/IoT data, industrial AI platforms, or open-source contributions are additional advantages.