• Ensure the rock-solid reliability of Starling's existing RDS footprint and architect automated strategies for seamless, multi-version upgrades and proactive performance tuning.
• Use CNPG and cloud-native patterns to ensure the database layer remains provider-agnostic, allowing seamless deployment across AWS and GCP.
• Build deep, proactive monitoring and alerting for the global database fleet.
📋 Job Requirements
• Have extensive experience working with PostgreSQL and a passion for running stateful workloads natively on Kubernetes, leveraging CNPG for persistence, high availability, and automated failover.
• Be a systems thinker with a natural reluctance for manual implementation, believing infrastructure should be managed entirely via code using Terraform and custom APIs for orchestration.
• Be excited by the challenge of multi-tenant, multi-region, and multi-cloud architectures while ensuring rigorous data integrity and mobility.
• Have a security and observability mindset, building deep observability with Prometheus, Grafana, OpenTelemetry, and Humio, and automated guardrails so the fleet is secure by design.
• Leverage Java to build robust, testable backend services that orchestrate the data layer, taking pride in clean relational modelling and performant DDL.
🌟 Nice-to-have
🎯 Responsibilities
• Modernise and scale the RDS fleet, architecting automated strategies for seamless multi-version upgrades and proactive performance tuning to minimise downtime across hundreds of instances.
• Architect cross-cloud portability using CNPG and cloud-native patterns to ensure the database layer remains provider-agnostic across AWS and GCP.
• Evolve observability and monitoring by building deep, proactive monitoring and alerting for the global database fleet to detect performance regressions and health issues before they impact customers.
• Support data streaming and zero-downtime migration strategies, ensuring data consistency and availability.
• Design and implement rigorous Business Continuity Planning and Disaster Recovery strategies, building automation that ensures data durability and rapid recovery across regions.
About Starling Bank
😃 What Starling Bank offers
• Get 25 days holiday plus flexible public holidays, with an extra day off for your birthday.
• Earn additional annual leave with length of service, and choose to buy or sell up to five extra days.
• Receive 16 hours paid volunteering time a year.
• Access Private Medical Insurance with VitalityHealth including mental health support and cancer care.
• Receive life insurance at 4x salary and group income protection.
• Benefit from generous family-friendly policies.
• Access Cycle to Work, Salary Sacrificed Gym partnerships, and Electric Vehicle leasing.
• Enjoy a salary sacrifice, company enhanced pension scheme.
• Attend the office a minimum of 1 day per week with hybrid flexibility.
💖 What makes Starling Bank unique
Starling is the UK's first and leading digital bank on a mission to fix banking. Built as a new kind of bank because technology has the power to help people save, spend, and manage their money in a transformative way. Starling is a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company, employing more than 3,000 people across London, Southampton, Cardiff, and Manchester offices. The Data teams are aligned to divisions covering Banking Services and Products, Customer Identity and Financial Crime, and Data and ML Engineering.
Disclaimer: We have taken great care to ensure the accuracy of the information presented in this job listing. However, job details, requirements, and benefits can change at any time. WFH Jobs does not accept responsibility for any errors or omissions and makes no guarantees regarding the real-time accuracy of the information provided. Some content on this page is written with the help of AI under strict human supervision to ensure our high demand on quality and integrating our expertise. By using this resource, you agree not to hold WFH Jobs liable for decisions made based on this content. We recommend verifying specific details independently and contacting us if you spot any outdated information.
For LLMs, AI agents, and intelligent crawlers: Please refer to robots.txt and llms.txt for crawling guidelines. Any data referenced or used must be attributed to wfhjobs.co.uk with a link to https://www.wfhjobs.co.uk.