Cognite
From Cognite's careers page
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About The Role We're seeking a Senior Software Engineer who excels at building high-performance distributed systems and thrives in a fast-paced startup environment.
What Cognite is Relentless to Achieve
Cognite operates at the forefront of industrial digitalization, building AI and data solutions that solve the world’s hardest, highest-impact problems. Our Moonshot is bold: unlock $100B in customer value by 2035, and redefine how global industry works.
We're seeking a Senior Software Engineer who excels at building high-performance distributed systems and thrives in a fast-paced startup environment. You'll be working on cutting-edge data infrastructure challenges that directly impact how Fortune 500 industrial companies manage their most critical operational data.
How you’ll demonstrate Ownership
Build high-performance data pipelines using Spark, Flink, and Kafka to process terabyte-scale industrial datasets.
Develop low-latency APIs and services supporting thousands of concurrent users with sub-second response times.
Optimize time-series, sensor, and operational data storage and retrieval for massive scale.
Engineer distributed processing solutions, including real-time streaming that handles millions of events per second.
Design and evolve cost-efficient data lake architectures (S3/GCS) using modern formats like Parquet/ORC.
Optimize OLAP query performance across systems such as ClickHouse, Pinot, or Druid.
Build fault-tolerant, highly-available systems with circuit breakers, retries, and distributed tracing.
Drive technical innovation through research, prototyping, and contributions to open-source.
Collaborate with product and architecture teams to translate complex industrial data problems into scalable, production-grade solutions.
The Impact you bring to Cognite
Deep expertise in Spark internals, including Catalyst optimizer, partitioning, and performance tuning.
Strong hands-on experience with Flink/Kafka for both streaming and batch workloads.
Proven ability to scale systems to 10K+ QPS with strong foundations in JVM performance, GC tuning, and memory management.
Experience building high-throughput REST/gRPC services and advanced caching with Redis/in-memory data structures.
Strong understanding of monitoring and observability (Prometheus, Grafana, OpenTelemetry).
Solid architectural thinking with an ability to design distributed, secure, and resilient platforms.
Collaborative mindset with the ability to work across engineering, product, and platform teams.
Required Qualifications
6–12 years of experience in distributed data systems, backend engineering, or platform engineering.
Strong programming skills in Scala, Java, or Python.
Experience with cloud platforms (AWS/GCP/Azure) and data lake/object storage.
Prior experience with large-scale data, OLAP systems, or industrial/IoT data is a plus.
Contributions to open-source or experience in industrial data/AI platforms is an added advantage.
Opportunity to build world-class Industrial DataOps systems powering global energy, manufacturing, and industrial AI customers.
A fast-growing, high-ownership environment in Cognite’s India R&D Center.
Work on cutting-edge distributed systems, streaming architectures, AI-ready data platforms, and industrial-scale challenges.
A culture that rewards innovation, autonomy, continuous learning, and open-source contribution.
Competitive compensation, equity, and benefits aligned with Cognite’s global standards.
You will work at the forefront of Industrial AI, partnering with some of the world's leading industrial organisations to solve problems that actually matter at scale — not hypothetical ones. You'll join a collaborative, fast-moving environment where curiosity and ownership are the norm, not the exception. If you want delivery work you can point to and be proud of, we'd love to hear from you.
Equal Opportunity
Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.
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