Senior Database Reliability Engineer - DBRE

• Database provisioning and lifecycle operations become highly automated and repeatable.
• Operational toil across PostgreSQL, Elasticsearch, and Kafka is significantly reduced.
• Database platforms can scale reliably with business and customer growth.
• Incidents are detected early and resolved through strong automation and observability.
• Database infrastructure is consistent and resilient across Azure, AWS, GCP, and private-cloud environments.
• Engineering teams can consume reliable database infrastructure without requiring significant manual DBRE intervention.

Why This Role?

This is an opportunity to work on large-scale, distributed data infrastructure at the heart of a modern Knowledge Graph platform. You will have significant ownership across three critical database technologies and will play a key role in making our data infrastructure more automated, reliable, and scalable.

• 6+ years of experience in Database Reliability Engineering, Database Engineering, SRE, Platform Engineering, or a closely related role.
• Strong hands-on experience operating PostgreSQL at scale, preferably in cloud-managed environments.
• Strong experience with Elasticsearch, including cluster administration, performance tuning, scaling, shard management, and troubleshooting.
• Experience operating databases and stateful workloads on Kubernetes.
• Experience with Kafka or another distributed database/storage system is highly valuable.
• Strong Infrastructure as Code experience with Terraform or similar tools.
• Experience with at least one major cloud platform — Azure, AWS, or GCP — with exposure to multi-cloud environments preferred.
• Strong understanding of database reliability principles including high availability, disaster recovery, backups, replication, capacity planning, and observability.
• Proficiency in scripting or programming using Python, Go, or a similar language.
• Experience automating repetitive operational tasks and building self-service infrastructure.
• Strong troubleshooting and incident-management skills, with the ability to diagnose complex distributed-system failures.

• Experience with Kafka and fdb-kubernetes-operator.
• Experience with Elastic Cloud and ECK.

Proficiency in Go for building automation, tooling, or operators; Python or another scripting language is a plus.

• Experience managing PostgreSQL through Kubernetes operators or custom resources.
• Experience with Kubernetes operators and building automation for stateful workloads.
• Experience operating databases across multi-cloud and private-cloud environments.
• Experience with observability platforms and database performance monitoring.
• Familiarity with distributed systems, data replication, consistency, and failure-domain design.

• 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.

• 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.

• 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.

• 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.