Engineer for performance and scale — diagnose and resolve database performance issues across the stack using general database tuning principles (query optimization, indexing) while collaborating with application and infrastructure teams to address root causes at the right layer.
Build resilience and recoverability — operate backup, restore, replication, high-availability, failover and disaster-recovery capabilities; define and test RPO and RTO expectations.
Automate and enable self-service — use scripting, Infrastructure-as-Code and CI/CD to replace manual runbooks with safe workflows for provisioning, access, maintenance, validation and recovery.
Support adjacent data technologies — contribute to the operation and standardisation of PostgreSQL and Elasticsearch, OpenSearch or Solr platforms while keeping Oracle as the primary responsibility.
Lead migrations and platform change — plan version upgrades, schema moves, database splits or consolidations, data movement and low-risk cutovers with validation and rollback plans.
Instrument and secure the service — establish dashboards, alerts, baselines and SLOs, and apply least privilege, secrets, encryption, auditing, vulnerability and patch controls as platform defaults.
Improve reliability — support incidents, lead root-cause analysis and problem management, reduce operational toil, and partner with Linux, storage, network, security and application teams.
You'll need to have
Substantial hands-on experience operating Oracle databases in business-critical production environments at platform, database engineering or senior DBA level.
Strong Oracle architecture and lifecycle knowledge covering high availability, backup and recovery, patching, upgrades, capacity planning and performance.
The ability to diagnose complex Oracle performance problems using database diagnostics and system evidence, then explain the findings clearly.
Production experience with at least one adjacent platform: PostgreSQL or Elasticsearch, OpenSearch, Solr or an equivalent search/indexing technology.
Strong Linux fundamentals, particularly RHEL, including storage, filesystems, networking, process and memory behaviour, and I/O troubleshooting.
Proficiency in Python, Bash or another suitable systems language, with automation experience using Ansible, Terraform or equivalent.
Experience with Git-based change control, CI/CD, monitoring, alerting, operational documentation and safe production change.
A reliability and customer mindset: incident response, root-cause analysis, recovery testing, continuous improvement and clear communication with engineering teams.
We'd love to see
Oracle RAC, ASM, Data Guard, RMAN, Enterprise Manager, CDB/PDB architecture, Data Pump, AWR/ASH/ADDM, SQL Tuning
PostgreSQL replication and HA, backup and recovery, vacuum and autovacuum, performance tuning.
Elasticsearch, OpenSearch or Solr cluster sizing, shard and replica strategy, mappings, ILM, snapshots and search query optimisation.
Stateful services on Kubernetes or OpenShift, including operators, persistent storage and workload scheduling.
Enterprise storage and database I/O troubleshooting across SAN, NFS, object storage or software-defined storage.
Secrets management, cloud data services, and experience in a regulated or audited environment.
If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.
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