Principal Logging Backend Engineer
Oslo
Cognite
Deliver a step-change in productivity, safety, and performance with unified, trustworthy industrial data for every use case.
About CogniteEmbark on a transformative journey with Cognite, a global SaaS forerunner in leveraging data to unravel complex business challenges through our cutting-edge Cognite Data Fusion (CDF) platform. We were awarded the 2022 Technology Innovation Leader for Global Digital Industrial Platforms & Cognite was recognized as 2024 Microsoft Energy and Resources Partner of the Year. In the realm of industrial digitalization, we stand at the forefront, reshaping the future of Oil & Gas, Manufacturing and Energy sectors. Join us in this venture where data meets ingenuity, and together, we forge the path to a smarter, more connected industrial future.
Learn more about Cognite hereCognite Product Tour 2024Cognite Product Tour 2023Data Contextualization Masterclass 2023
Our valuesImpact: Cogniters strive to make an impact in all that they do. We are result-oriented, always asking ourselves.Ownership: Cogniters embrace a culture of ownership. We go beyond our comfort zones to contribute to the greater good, fostering inclusivity and sharing responsibilities for challenges and success. Relentless: Cogniters are relentless in their pursuit of innovation. We are determined and deliverable (never ruthless or reckless), facing challenges head-on and viewing setbacks as opportunities for growth.
Cognite is a global leader in industrial software with our Industrial DataOps platform, Cognite Data Fusion®, at the core. We were awarded the 2022 Technology Innovation Leader for Global Digital Industrial Platforms.
The Product team is the team responsible for developing Cognite Data Fusion as a robust and scalable platform for solving industrial data problems at Cognite. The industrial data problem is at the heart of transforming asset-intensive industries to be safer, more sustainable and more profitable. Cognite’s Cognite Data Fusion makes the operational data available at scale and adds value to the data through data processing. This enables asset-intensive industries to make data-driven decisions. Our platform is built on many different technologies, each good at solving various challenges. To build the best possible product, we believe in autonomous teams with developers, designers and product managers working closely together.
Cognite Data Fusion contextualizes operational data at scale, enabling asset-intensive industries to make data-driven decisions. We use the latest technologies ☁️ and work closely with end users to iterate quickly towards better product experiences 💻. That means that our users have the best data quality possible and ensure better insights for the user through data science and physical process modeling
About the role:Our platform generates operational and audit logs and provides capabilities similar to operational logging to our customers for alarms and events coming from industrial control systems. Just as a Kubernetes pod generates logs and telemetry, industrial assets like pumps and sensors do as well.
As a Principal Logging Backend Engineer, you will play a crucial role in maintaining and improving Cognite’s logging and log-like infrastructure. Your expertise will help Cognite’s industrial customers and Cognite ensure that all logs are collected, stored and analyzed effectively, enabling our teams to quickly identify and troubleshoot any issues that may arise.
Why choose Cognite? 🏆 🚀Join us in making a real and lasting impact in one of the most exciting and fastest-growing new software companies in the world. We have repeatedly demonstrated that digital transformation, when anchored on strong DataOps, drives business value and sustainabilityfor clients and allows front-line workers, as well as domain experts, to make better decisions every single day. We were recognized as one of CNBC's top global enterprise technology startups powering digital transformation! And just recently, Frost & Sullivan named Cognite a Technology Innovation Leader! 🥇 Most recently Cognite Data Fusion® Achieved Industry First DNV Compliance for Digital Twins 🥇
Apply today!If you're excited about the opportunity to work at Cognite and make a difference in the tech industry, we encourage you to apply today! We welcome candidates of all backgrounds and identities to join our team. Please do not hesitate to contact our Talent Acquisition team with any questions -
We encourage you to follow us on Cognite LinkedIn; we post all our openings there.
Learn more about Cognite hereCognite Product Tour 2024Cognite Product Tour 2023Data Contextualization Masterclass 2023
Our valuesImpact: Cogniters strive to make an impact in all that they do. We are result-oriented, always asking ourselves.Ownership: Cogniters embrace a culture of ownership. We go beyond our comfort zones to contribute to the greater good, fostering inclusivity and sharing responsibilities for challenges and success. Relentless: Cogniters are relentless in their pursuit of innovation. We are determined and deliverable (never ruthless or reckless), facing challenges head-on and viewing setbacks as opportunities for growth.
Cognite is a global leader in industrial software with our Industrial DataOps platform, Cognite Data Fusion®, at the core. We were awarded the 2022 Technology Innovation Leader for Global Digital Industrial Platforms.
The Product team is the team responsible for developing Cognite Data Fusion as a robust and scalable platform for solving industrial data problems at Cognite. The industrial data problem is at the heart of transforming asset-intensive industries to be safer, more sustainable and more profitable. Cognite’s Cognite Data Fusion makes the operational data available at scale and adds value to the data through data processing. This enables asset-intensive industries to make data-driven decisions. Our platform is built on many different technologies, each good at solving various challenges. To build the best possible product, we believe in autonomous teams with developers, designers and product managers working closely together.
Cognite Data Fusion contextualizes operational data at scale, enabling asset-intensive industries to make data-driven decisions. We use the latest technologies ☁️ and work closely with end users to iterate quickly towards better product experiences 💻. That means that our users have the best data quality possible and ensure better insights for the user through data science and physical process modeling
About the role:Our platform generates operational and audit logs and provides capabilities similar to operational logging to our customers for alarms and events coming from industrial control systems. Just as a Kubernetes pod generates logs and telemetry, industrial assets like pumps and sensors do as well.
As a Principal Logging Backend Engineer, you will play a crucial role in maintaining and improving Cognite’s logging and log-like infrastructure. Your expertise will help Cognite’s industrial customers and Cognite ensure that all logs are collected, stored and analyzed effectively, enabling our teams to quickly identify and troubleshoot any issues that may arise.
A typical day as a Cogniter will contain the following tasks & responsibilities:
- Help plan, deploy, upgrade, monitor, and troubleshoot our Elasticsearch clusters and related infrastructure
- Work with service teams on improving observability
- Help architect and operate logging and log-like capabilities in our data platform, identifying what requirements can be met with what indexing strategies
- Make sure we use cloud storage and compute resources in the most efficient manner possible, likely relying heavily on S3 API-compatible blob storage
We believe most of these should match your experience:
- Experience with large Cloud deployments on either AWS, GCP, or Azure
- Specifically 3+ years of experience with blob storage
- You can explain the tradeoffs of blob storage and the tradeoffs storage technologies that use them. You understand how the logging tool lifecycles data in and out of blob storage.
- Experience with Elasticsearch (preferred or desire to learn) for logging or time series use cases or similar
- A master degree in Computer Science or a similar amount of experience
- Comfortable with Python or similar programming languages to make automations. You don't need strong programming skills but should be able to make or change simple scripts, integrations and automations.
- You enjoy sharing knowledge and can calibrate who needs to know what
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
Why choose Cognite? 🏆 🚀Join us in making a real and lasting impact in one of the most exciting and fastest-growing new software companies in the world. We have repeatedly demonstrated that digital transformation, when anchored on strong DataOps, drives business value and sustainabilityfor clients and allows front-line workers, as well as domain experts, to make better decisions every single day. We were recognized as one of CNBC's top global enterprise technology startups powering digital transformation! And just recently, Frost & Sullivan named Cognite a Technology Innovation Leader! 🥇 Most recently Cognite Data Fusion® Achieved Industry First DNV Compliance for Digital Twins 🥇
Apply today!If you're excited about the opportunity to work at Cognite and make a difference in the tech industry, we encourage you to apply today! We welcome candidates of all backgrounds and identities to join our team. Please do not hesitate to contact our Talent Acquisition team with any questions -
We encourage you to follow us on Cognite LinkedIn; we post all our openings there.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
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Category:
Engineering Jobs
Tags: APIs AWS Azure Computer Science DataOps Data quality Elasticsearch GCP Industrial Kubernetes Python
Perks/benefits: Competitive pay Fitness / gym Health care Snacks / Drinks Team events
Region:
Europe
Country:
Norway
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