About Cognite and Cogniters
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. 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 various technologies, each good at solving various challenges.
To build the best possible product, we believe in autonomous teams with developers, product managers and technical program managers working closely together. You will work with a team of highly skilled engineers and a critical Cognite service for time-series data. Time Series data is central to the industrial data ecosystem and the Cognite Data Fusion platform. At Cognite, we have developed a unique Time Series database that scales to tens of trillions of data points and supports consistent, low-latency analytical queries. We use the latest technologies and work closely with end users to iterate quickly towards better product experiences.
Our approach disrupts norms. This Senior Software Engineer role takes root in our Engineering team, embracing collaborative engagements across Security, Infrastructure, and Engineering while maintaining its core within Engineering. We are committed to building up these skill sets by supporting people with interest in growing their knowledge who have experience or passion in SRE, DevOps, database administration, large-scale system administration, distributed systems or other similar roles at the intersection of operations, human factors and software engineering. If you're drawn to operations, human factors, and the crossroads of engineering, this is your invitation.
Our work environment is exciting, dynamic and intense. You will work with the best domain and industry experts: designers, product managers, backend developers, ML engineers, 3D developers and business leaders. We support one another, ask good questions, and give each other constructive feedback. Our goal is to leverage our diverse set of strengths and backgrounds to build innovative products, to think outside the ordinary, and grind through and nurture a great culture. Fueling our vision is the Product team, driving the evolution of Cognite Data Fusion into a robust platform that redefines industrial data challenges. We're at the forefront of transforming asset-intensive sectors for safety, sustainability, and profitability. Cognite Data Fusion transforms operational data, enabling industries to harness the power of data-driven decisions.
Our Stack and Your Canvas
We work with open-source technologies that need to run in multiple cloud environments – both public clouds (Google Cloud Platform, Azure, and AWS) and private clouds with customer-provided Kubernetes.
Managed Kubernetes (GKE, AKS, EKS, Openshift) forms the base on which we build our products. We build on a self-run Foundation DB based scale-out data store for managing time-series data and use PostgreSQL and Elasticsearch. We replicate data to different storage systems to be able to answer different types of queries.
Our backend developer teams work with Kotlin, Java, and Python. CI/CD is handled by combining Github, Jenkins, and Spinnaker to test and deploy code to production. The infrastructure is managed as code with Terraform and Atlantis, and services are monitored using Prometheus, Grafana, and Lightstep.
About The Opportunity
As a Principal Postgres Database Reliability Engineer, you will help with the continuous well-being of our portfolio of Postgres deployments – in both public and private clouds, through managed services and on self-managed Kubernetes clusters.
Even when using mature as-a-Service offerings and Kubernetes operators, there are many things that can and will go wrong. Herding clusters that need upgrading, upscaling, cost-trimming, and recovery etc., while continuously serving heavy workloads with tight SLOs requires solid reliability engineering, and working with service teams to inform requirements and educational needs.
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.
We encourage you to follow us on
Cognite LinkedIn; we post all our openings there.
Cognite is a global industrial SaaS company that was established with one clear vision: to rapidly empower industrial companies with contextualized, trustworthy, and accessible data to help drive the full-scale digital transformation of asset-heavy industries around the world. Our core Industrial DataOps platform, Cognite Data Fusion™, enables industrial data and domain users to collaborate quickly and safely to develop, operationalize, and scale industrial AI solutions and applications to deliver both profitability and sustainability. Visit us at www.cognite.com and follow us on Twitter @CogniteData or LinkedIn: https://www.linkedin.com/company/cognitedata
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; everyone we hire will receive the same level of consideration for training, compensation, and promotion.
We ask for gender as part of our application because we want to ensure equal assessment in the recruitment process. Your answer will help us reach this commitment! However, the question about gender is optional and your choice not to answer will not affect the assessment of your application in any way.