Imagine what you could do here. At Apple, extraordinary ideas have a way of becoming industry leading products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The AOS team is responsible for delivering the e-commerce systems and solutions that enable and support the buying experience on apple.com. We build one of the slickest e-commerce site on planet while keeping Apple brand at the forefront in every aspect of the engineering. Our solutions are designed for global reach while keeping the regional nuances in mind. We use the latest in open source technologies in addition to building our own frameworks. The breadth of our engineering spans front-end technologies, middleware services, application servers, public cloud infrastructure (e.g. AWS along with other leading cloud providers) and various type of relational, NewSQL and NoSQL databases and sure to cater to anyone looking for a significant career in a highly transparent and rewarding environment.We are seeking a skilled Database Engineer in DevOps role, who is passionate about operational excellence through automation and engineering processes. As a DB DevOps Engineer, you will play a crucial role in ensuring the seamless integration of development and operations processes, to deliver best in class and highly available systems. The main responsibilities for this position include: Design, implement and maintain database systems, with a focus on RDBMS, noSQL and newSQL technologies (e.g. Oracle, Postgres, Cassandra, Couchbase, mongoDB, Aerospike, CockroachDB) Proficient in AWS services including data stores e.g. RDS Oracle, Aurora Postgres, AWS CloudFormation, EC2, EBS, S3, Route53, IAM, KMS Expand the capacity and performance of systems and data stores persistence layer Analyze and evaluate the DB technology options/feasibility and define the design, architecture, delivery, and deployment pipeline Provide leadership in implementing a secure, robust and highly available DevOps pipeline for data stores e.g. data refresh across environments, DB deployments Automate build u0026 deployment processes for data stores Work closely with engineers, QA, project managers throughout the software lifecycle in optimally delivering outstanding, large scale systems Implement push button deployment at scale with zero downtime for infrastructure stack including Data storesExperience handling performance issues and tuning of data stores and database queries Understanding of database security concepts e.g. Certificates, SSL, TLS, mTLS, SQL injection, TCP/TCPS, Utilize AWS services for effective database management and optimization In-depth understanding go CloudWatch metrics e.g. CPU, IOPS, Read/Write latency, Read/Write throughput,Array