Engineering Manager
Cognite operates at the forefront of industrial digitalization, building AI and data solutions that solve some of 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.
Our moonshot is bold: unlock $100B in customer value by 2035 and redefine how global industry works.
What Cognite is Relentless to achieve
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not step back - you’ll feel at home here. Join us in this venture where AI and data meet ingenuity, and together, we forge the path to a smarter, more connected industrial future.
How you’ll demonstrate Ownership
- Manage a team of 5-10 engineers, developing services and applications for Cognite Data Fusion - a robust, state-of-the-art SaaS for industrial data.
- Collaborate with a cross-functional team consisting of designers, product managers and program managers to ensure the team builds the right product, that is of excellent quality and is delivered on time.
- Coaching all of your engineers with variable backgrounds, seniority and understanding of the domain they are solving to have high impact in the team.
- Working with your team to understand the users' problems and domain.
- Unblocking the team and collaborating with stakeholders outside of the team to resolve and mitigate problems.
- Being actively involved in setting product and technical direction.
- You do not shy away from writing code yourself, or help your team with code reviews, documentation, etc.
- Dogfooding our products to try to put yourself in our users’ shoes.
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
- You have a background in a product company
- You have 2+ years of experience with people management
- You have 8+ years of backend development experience, with proficiency in one or more of these technologies - Java, Kotlin, Python, Scala, C#.
- You have a good understanding of end-to-end system design and architecture.
- The added experience of having worked as a senior engineer or a tech lead is an advantage
- You have a genuine and keen interest in building the competency of engineers in a company and can do so emphatically
- You have a collaborative mindset, and have a drive to always look at the greater good
- You have experience with building applications that process high volumes of data
- You have experience managing end-to-end feature delivery
- Have the motivation to work in a high-paced environment
- Have excellent written and verbal communication skills in English
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