Database Reliability Engineer / DBRE

Pour la version française de cette description de poste, veuillez consulter le lien suivant / For the French version of this job description, please refer to the following link: Ingénieur de la fiabilité des bases de données About AppDirect Become a digital, global citizen and enable the new generation of digital entrepreneurs around the world. AppDirect offers a subscription commerce platform to sell any product, through any channel, on any device as a service. We power millions of subscriptions worldwide for organizations. We do this by our values-driven culture, one that enables you to Be Seen, Be Yourself, and Do Your Best Work. About the Data Platform Team Our mission is to deliver reliable, secure, and scalable data infrastructure as a service across AppDirect. We treat data infrastructure as a product—databases, search, cache, and lakehouse capabilities that engineering teams can depend on to build and ship with confidence. The Data Platform team supports 80+ data stores across the organization and operates against four quality pillars: resiliency and capacity, security, operational excellence, and performance and scalability. We enable self-serve access and automation, lead large-scale database migrations driven by company growth and acquisitions, and partner closely with Cloud Platform, DevOps, and product engineering so teams get fit-for-purpose data stores that are secure by design. As data infrastructure enters its AI-native era, we are investing in AI-assisted operations, self-service tooling, and lakehouse modernization—reducing toil, improving time-to-insight, and helping newly acquired teams onboard onto our data platform quickly and safely. About You We are looking for a Database Reliability Engineer to join our Data Platform team. You are a highly technical professional with an entrepreneurial spirit and a data-as-a-service mindset. You thrive on efficiency, automation (including AI-driven approaches), and continuous learning—and you want your work to make a meaningful impact. This is a unique opportunity to build at the intersection of highly scalable, fault-tolerant data services and modern cloud infrastructure. You will take on complex technical challenges across database reliability, migrations, and platform automation, and play a key role in evolving our cloud-native data environment. You enjoy guiding engineers toward the right data store for the job, building self-healing systems, and leaving behind documentation and patterns that help others move faster. What you'll do and how you'll have an impact Lead large-scale database migration projects driven by company acquisitions, client onboarding, and platform growth—planning for minimal downtime, strong rollback strategies, and zero data loss. Design and execute deployment strategies for blue/green rollouts, data archiving, and partitioning across relational, key-value, and document data stores. Use AI-powered automation to strengthen our data platform across our quality pillars: operational excellence, security and compliance, performance and scalability, and resiliency and capacity planning. Apply AI-assisted development tools and spec-driven workflows to design, automate, and ship database platform changes faster—Terraform modules, runbooks, diagnostics, and operational tooling—with clear acceptance criteria and high code quality. Partner with the Data Insights team on lakehouse enablement (e.g., Databricks, Apache Iceberg, Unity Catalog)—bridging transactional data stores and analytics infrastructure through reliable access patterns, security/governance alignment, and safe onboarding of workloads onto the lakehouse. Guide engineers in delivering fit-for-purpose database solutions across relational (MySQL, PostgreSQL, SQL Server), key-value (Redis), document (MongoDB), and search (Elasticsearch). Maintain a strong culture of documentation by developing and sharing high-quality knowledge resources for engineers and AI-assisted workflows. Participate in…