Database Reliability Engineer - DBRE

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 Senior Database Reliability Engineer (DBRE) to join our Cloud deployment team and take ownership of the reliability, scalability, automation, and operational excellence of our core database infrastructure. You will work across PostgreSQL, Elasticsearch, and Kafka , supporting a multi-cloud, Kubernetes-based platform at significant scale. This role is ideal for someone who enjoys solving complex infrastructure and database challenges, eliminating operational toil, and building highly automated systems. You will partner closely with Software Engineering, SRE, Platform Engineering, and Product teams to ensure our data platforms are highly available, scalable, secure, and resilient. What You’ll Own Managed PostgreSQL Fleet Orchestration Standardize and automate the lifecycle management of a fleet of 1000+ PostgreSQL instances across Azure, AWS, and GCP. Build and maintain infrastructure using Infrastructure as Code (IaC) and automation frameworks. Automate provisioning, configuration, patching, upgrades, backups, and operational workflows. Improve consistency and reliability across our PostgreSQL fleet while reducing manual operational effort. Work with cloud-managed PostgreSQL services including Azure Database for PostgreSQL – Flexible Server, Amazon RDS, and GCP Cloud SQL . Evolve our provisioning and configuration approach using Kubernetes-based and Terraform-driven workflows. Hybrid Elasticsearch Operations Design, operate, and scale high-performance Elasticsearch clusters across Elastic Cloud (SaaS) and ECK (self-managed Kubernetes) environments. Own the reliability and performance of Elasticsearch infrastructure supporting search, semantic retrieval, vector workloads, and high-volume operational data. Establish best practices around cluster sizing, capacity planning, shard management, upgrades, backups, monitoring, and disaster recovery. Support Elasticsearch deployments where PostgreSQL is the source of truth as well as environments where Elasticsearch is the authoritative datastore . Build automation to simplify provisioning and lifecycle management across Elastic Cloud and ECK. Help improve security, connectivity, zone awareness, and operational resilience across multi-cloud deployments. Kafka Streaming Infrastructure Own the reliability, scalability, and performance of Kafka clusters supporting high-throughput, low-latency event streaming across the platform. Operate Kafka in both self-managed (Kubernetes-based, e.g. Strimzi/Kafka Operator) and managed (e.g. Confluent Cloud, MSK) configurations across multi-cloud environments. Drive capacity planning, partition and topic design, replication strategy, and broker-level performance tuning. Establish and automate best practices around upgrades, rolling restarts, backups/disaster recovery, and schema evolution (e.g. Schema Registry). Build monitoring and alerting for consumer lag, broker health, ISR status, and throughput to enable early incident detection. Partner with Software Engineering to ensure producer/consumer patterns, retention policies, and topic ownership scale cleanly as usage grows. What You Bring 6+ years of experience in…