Software Engineer - Transformation Data

Posted Yesterday
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Bengaluru, Bengaluru Urban, Karnataka, IND
Hybrid
Mid level
Artificial Intelligence • Machine Learning • Software • Analytics • Industrial • Generative AI • Big Data Analytics
Cognite makes data accessible and meaningful for our industrial customers.
The Role
Build scalable backend services, microservices, APIs, and distributed data pipelines for Cognite’s industrial data platform. Responsibilities include working with large datasets, optimizing data processing and storage, contributing to system architecture, troubleshooting production issues, writing tested code, and collaborating cross-functionally. The role requires backend engineering experience and programming skills in Java, Scala, or Python, with preferred experience in Spark, Kafka, Flink, cloud platforms, Kubernetes, CI/CD, and observability.
Summary Generated by Built In
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 are looking for a Software Engineer with 3–6 years of experience to join our engineering team and build scalable backend systems and data platforms that process large volumes of industrial data.

You will work on distributed systems, data processing, cloud infrastructure, and backend services, solving complex engineering challenges while collaborating closely with product and engineering teams.

How you’ll demonstrate Ownership
  • Design, develop, and maintain scalable backend services and microservices that support high-volume industrial data workloads.

  • Build and improve distributed data pipelines using technologies such as Spark, Kafka, and Flink.

  • Develop reliable, high-performance APIs and backend services with a focus on scalability, availability, and maintainability.

  • Work with large datasets and optimize data processing, storage, and retrieval workflows.

  • Contribute to system design and architecture discussions, making thoughtful technical decisions around scalability and reliability.

  • Troubleshoot production issues, identify root causes, and implement long-term solutions to improve system performance and reliability.

  • Write clean, maintainable, well-tested code and actively participate in code reviews and engineering best practices.

  • Collaborate with Product Managers, Engineers, and cross-functional teams to deliver high-quality solutions.

The Impact you bring to Cognite

You will play a key role in building the backend and data infrastructure that powers Cognite’s industrial data platform. Your work will directly contribute to making large-scale industrial data more accessible, reliable, and performant for our customers.

You will have the opportunity to work on challenging distributed systems problems, handle large volumes of data, and contribute to a highly scalable cloud-native platform used across global industrial organizations.

Required Qualifications

  • 3–6 years of experience in software engineering, backend development, or distributed systems.

  • Strong programming experience in Java, Scala, or Python, with a solid understanding of data structures, algorithms, and object-oriented programming.

  • Hands-on experience with backend services, microservices, REST APIs, and SQL/NoSQL databases.

  • Good understanding of distributed systems, scalability, performance, and reliability concepts.

Preferred Experience

  • Experience with distributed data technologies such as Apache Spark, Kafka, or Flink.

  • Experience working with AWS, Azure, or GCP, along with Docker/Kubernetes or cloud-native technologies.

  • Experience with CI/CD, observability, monitoring, and production troubleshooting in large-scale systems.

 
 
 
Learn more about us
 
 
 
  • Impact 2025
  • Cognite's Industrial AI: Moonshot
  • We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
 
 
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.

Skills Required

  • 3-6 years of experience in software engineering, backend development, or distributed systems
  • Strong programming experience in Java, Scala, or Python
  • Understanding of data structures, algorithms, and object-oriented programming
  • Hands-on experience with backend services, microservices, REST APIs, and SQL or NoSQL databases
  • Understanding of distributed systems, scalability, performance, and reliability concepts
  • Experience with Apache Spark, Kafka, or Flink
  • Experience with AWS, Azure, or Google Cloud Platform
  • Experience with Docker, Kubernetes, or cloud-native technologies
  • Experience with CI/CD, observability, monitoring, and production troubleshooting in large-scale systems

Cognite Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cognite and has not been reviewed or approved by Cognite.

  • Affordable Benefits Healthcare premiums for employees and dependents are often fully covered, reducing out‑of‑pocket costs. Feedback suggests this makes the total rewards feel competitive in key markets.
  • Parental & Family Support Paid parental leave for primary and secondary caregivers is described as generous. This signals a family‑friendly approach that many consider a standout perk.
  • Leave & Time Off Breadth Unlimited PTO with a company‑wide year‑end shutdown offers ample time away from work. Flexible time‑off options are consistently highlighted across U.S. roles.

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The Company
HQ: Oslo
751 Employees
Year Founded: 2016

What We Do

Cognite is an AI company that delivers industrial software to improve the production efficiency of Energy, Process Manufacturing, and other industrial companies. We deliver an Industrial DataOps platform that liberates siloed data and empowers our customers to solve some of their most complex business problems with AI-powered solutions. The typical solutions we enable drive innovative new ways to approach Data Exploration, Digital Operator Rounds, Production Optimization, Turnaround Planning, and Root Cause Analysis. We do this by automating and scaling industrial data contextualization of various sources (such as time series, engineering diagrams, equipment logs, maintenance records, 3D facility models, images, large point clouds, and more). We use AI and other tools to find and map the meaningful relationships between the data across these various sources. In addition, we provide intuitive tools that enable efficient use of analytics and automated workflows, as well as prebuilt AI capabilities and a low-code industrial agent builder, Cognite Atlas AI, that enables AI to carry out more complex operations with greater accuracy.

Why Work With Us

Employees at Cognite are pushing the envelope with the latest cloud technology, scaling industrial applications across hundreds of assets, revolutionizing industrial data models, and working with robotics. Cogniters are fast, creative, and resilient. We keep the energy high and fun, learning from our mistakes and celebrating our victories together.

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