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Location
In office (Bengaluru)
Seniority
Senior · 6+ years exp
Visa
Sponsors visas in United States; no register of this country names it

Confirmed on the employer's own hiring board on Nov 14, 2026. First seen by Alion on Nov 12, 2026. Cognite scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Cognite is an industrial software company based in Lysaker near Oslo that develops Cognite Data Fusion, an industrial data and AI platform, together with Cognite Atlas AI agents and the Flows application layer. Founded in 2016 and backed by Aker, it serves asset-heavy industries such as oil and gas, power, manufacturing and chemicals, with customers including Aker BP and Celanese and offices in Houston, Phoenix, Abu Dhabi, Bengaluru and Tokyo. It hires software, data and AI engineers, data scientists, solution architects, field engineers, product managers and business development staff.
Backed by Accel, TCV

What Cognite is:Relentlessto 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 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 Impactyou 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.

What we offer:

  • 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.

Learn more about us

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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