Senior Database Reliability Engineer - DBRE

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 Success Looks Like

• 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.

What You Bring

• 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.

Good to Have

• 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.