Cognite

Industrial Digitalization

SoftwareEngineer

Bengaluru, India
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Software Engineer at Cognite. Skills: Distributed systems, Data pipelines, Low-latency APIs, Data processing. Build high-performance data pipelines. Develop low-latency APIs”

What You'll Achieve.

Unlock $100B in customer value by 2035; Redefine how global industry works; Accelerate digital transformation; Drive operational improvements

Industry & Context.

Industrial Digitalization
Problems you'll solve

Solve the world’s hardest problems; Solve highest-impact problems; Translate complex industrial data problems

What They're Looking For.

Must Have

3–6 years of experience in distributed data systems, backend engineering, or platform engineering, programming skills in Scala, Java, or Python, Experience with cloud platforms (AWS/GCP/Azure) and data lake/object storage

Nice to Have

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

What You'll Do.

Build high-performance data pipelines

Develop low-latency APIs

Optimize data storage and retrieval

Engineer distributed processing solutions

Design data lake architectures

Optimize OLAP query performance

Build fault-tolerant systems

Drive technical innovation

Collaborate with product teams

Translate data problems into solutions

How You'll Work.

Team & Collaboration

Collaborate with product and architecture teams; Collaborate with engineering, product, and platform teams

Full Job Description

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. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here. Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future. About The Role We're seeking a 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. Coll

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