Database Reliability Engineer

Starling is a fully licensed UK bank with the culture and spirit of a fast moving, disruptive tech company. With more than 3,000 people across London, Southampton, Cardiff and Manchester, we empower teams to deliver banking services at the touch of a phone.

Our technologists are at the very heart of Starling. We thrive in a fast paced environment that is all about building new solutions, delivering technology that keeps us on the cutting edge of fintech, and collaborating across the business.

The way to thrive at Starling is to be a self driven individual who takes full ownership of everything-from building and designing to sharing knowledge and ensuring efficient processes that deliver the best possible results for our customers.

Our Data teams are aligned to divisions covering Banking Services & Products, Customer Identity & Financial Crime, and Data & ML Engineering. We are excited about delivering meaningful insights to both the business and our customers.

We are looking for talented data professionals at all levels to join the team. We value people who care about customers, 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, and continue changing banking for good.

Hybrid Working

We have a hybrid approach to working. Our preference is that you're located within commuting distance of one of our offices. In Technology, you're expected to attend the office a minimum of one day per week.

Our Data Environment

Our Data teams cover Banking Services & Products, Customer Identity & Financial Crime, and Data & ML Engineering. We deliver impactful insights to the business and our customers.

Responsibilities

• Modernize and Scale the RDS Fleet: ensure reliability, automate upgrades, and tune performance across hundreds of instances.
• Architect Cross Cloud Portability: use CNPG and cloud native patterns to keep our database layer provider agnostic.
• Evolve Observability & Monitoring: build proactive monitoring and alerting to detect regressions before they affect customers.
• Support Replication & Mobility: enable data streaming and zero downtime migration strategies for consistency and availability.
• Fortify Business Continuity (BCP): design disaster recovery strategies and automation for resilient data durability and rapid recovery.

Qualifications

• PostgreSQL & Kubernetes expert with experience using CNPG for stateful workloads on Kubernetes.
• Systems thinker: use code (Terraform, custom APIs) to provision infrastructure, avoiding manual implementations.
• Distributed Systems enthusiast: enjoy the challenge of multi tenant, multi region, multi cloud scenarios with rigorous data integrity.
• Security & Observability mindset: build deep observability (Prometheus/Grafana/OpenTelemetry/Humio) and guardrails for secure operation.
• Engineering via code: deliver backend services in Java with clean relational modeling and performant DDL.

Interview Process

• Stage 1 - 30 min chat with a team member.
• Stage 2 - Take home challenge.
• Stage 3 - 60 min technical interview with two team members.
• Stage 4 - 45 min final with two data executives.

Benefits

• 25 days holiday (plus public holidays and a birthday day).
• Annual leave increases with length of service; buy or sell up to five extra days.
• 16 hours paid volunteering time per year.
• Salary sacrifice and company enhanced pension scheme.
• Life insurance at 4 salary & group income protection.
• Private medical insurance with VitalityHealth, including mental health support and cancer care.
• Partner discounts (Waitrose, Mr & Mrs Smith, Peloton).
• Generous family friendly policies.
• Perkbox membership for retail discounts, wellness platform, and weekly perks.
• Access to initiatives like Cycle to Work, salary sacrifice gym partnerships, and EV leasing.

Starling Bank is an equal opportunity employer. We consider applicants without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.