Database Reliability Engineer
20 hours ago
York
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a diverse and inclusive team. We hire the best people based on an evaluation of their potential and support them throughout their time at Cloudflare. Come join us! Available Locations: London, UK About The Department The Database Platform Team, a vital part of Cloudflare's Infrastructure Engineering organization, is dedicated to building and operating databases at scale. Our mission is to empower internal engineering teams, enabling them to deliver products quickly and reliably through a robust, automated, and scalable data infrastructure. We achieve this by automating database infrastructure, strengthening resiliency, and allowing applications to scale effortlessly. This effectively removes the operational complexities of database management, letting product teams concentrate on innovation. As the Database Platform Team enters an exciting period of growth and expansion, this role offers a key opportunity to develop new features, integrate with database tooling, and advance automation across our platform. Your contributions will be instrumental in shaping the future of our database platform What You'll Do The ideal candidate will work alongside database engineers, software developers, and Infrastructure teams, contributing to the evolution of database platform architecture, access control, and automation strategies. They will play a critical role in enhancing PostgreSQL infrastructure and improving database reliability, automation, and tooling. If you are passionate about PostgreSQL, automation, and database tooling, we’d love to hear from you! Responsibilities • Build, deploy, and manage PostgreSQL databases in production environments., • Develop and optimize database schemas, queries, and procedures for performance and scalability., • Develop and maintain database tooling for automation, monitoring and performance tuning., • Optimize database performance, indexing strategies, and query tuning., • Implement high availability, backup and disaster recovery solutions., • Work closely with Infrastructure and Applications teams to integrate database tools., • Experience building large multi-tenant databases, operating, capacity planning, and designing for failover, fault tolerance, and disaster recovery., • Experience building and maintaining database tooling for automation and monitoring., • Experience optimizing database performance and query tuning., • Experience with alerting and monitoring tools such as Prometheus, Grafana, and Kibana., • Experience in scripting languages (Python, Bash) for automation., • Expertise in database schema migrations and automation using tools like Flyway, Liquibase or goose., • Experience with containerization technologies like Docker and Kubernetes., • Contributions to PostgreSQL or relevant open-source projects., • Experience with connection pooling solutions such as PgBouncer, HAProxy., • Experience with non-relational data stores such as Distributed & time-series databases (ex. Cassandra, Timescale) and key-value stores (eg., Redis)