Database Reliability Engineer

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. In Technology, we're asking that you attend the office a minimum of 1 day per week.

Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team in our latest blogs or our case studies with Women in Tech .

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Modernize and Scale the RDS Fleet: Ensure the rock-solid reliability of our existing RDS footprint. You will architect automated strategies for seamless, multi-version upgrades and proactive performance tuning to minimize downtime across hundreds of instances

Architect Cross-Cloud Portability: Use CNPG and cloud-native patterns to ensure our database layer remains provider-agnostic, allowing seamless deployment across AWS and GCP

Evolve Observability & Monitoring: Build deep, proactive monitoring and alerting for our global database fleet. You will ensure we have the visibility to detect performance regressions and health issues before they impact our customers

Support Replication & Mobility: Support data streaming and "Zero-Downtime" migration strategies, ensuring data consistency and availability