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Database Engineer II, RDS

Database Engineer II, RDS

Reference du poste 
Date de publication 
AMZN CAN Fulfillment Svcs, Inc
Recruiting Team 

Job Description

Are you excited by the prospect of solving some of the hardest and most valued technical challenges of cloud computing? Do you want to apply your deep analytical and database skills to the space of highly-available replicated databases? Come join us in Amazon RDS and help us innovate with always-on databases in the AWS cloud!

The AWS Relational Database Service (RDS) is one of the largest cloud database businesses, providing super-simple provisioning and management for databases in the cloud. Customers can set up a new database with just a few clicks, and complex administrative tasks like scaling, fail-over, and monitoring are handled in an automated fashion by our control systems. Providing such simplified management for customers comes with the challenge of building sophisticated and reliable control systems. The systems we build manage huge numbers of databases and vast amounts of storage across multiple data-centers world-wide, and our service is growing rapidly, requiring constant innovations in our systems in order to handle the next order of magnitude in service scale.

RDS provides customers with databases that have multiple-nines of durability and availability. Achieving this level of reliability requires building control and monitoring systems that automatically detect and handle many types of failures within seconds, and data replication options that accommodate various geographical distribution and disaster recovery objectives. The challenge is further heightened by needing to handle huge numbers of databases, multiple database engines (RDS supports MySQL, Oracle, PostgreSQL, SQL Server, MariaDB, and Amazon Aurora), and a wide variety of customer workloads.

To achieve our goals in this area, we are looking for a Database Engineer who loves to dive in and solve fundamental database and systems problems around performance, timing, state machine logic and distributed systems algorithms. Candidates need to have a strong sense of ownership, passion to provide a great customer experience and excellent troubleshooting skills even when in high-pressure situations. If you'd like to be a part of creating always-on databases in the AWS cloud, this is the job for you!

For more information on RDS, please visit:

Basic Qualifications

· Deep knowledge and experience designing and maintaining relational databases including MySQL, Oracle, Postgres or SQL Server
· Systems engineering experience, including Linux performance, memory management, I/O tuning, configuration, security, networking, clusters and troubleshooting
· Experience building and maintaining complex mission-critical production database systems
· Storage engineering experience, including NAS, SAN, SSD, multi-pathing and caching
· Broad awareness of customer workloads and use cases, including performance, availability and scalability
· Experience analyzing issues holistically, from the application tier through the database, down to the storage
· Experience working directly with customers, resolving database, systems and infrastructure-related issues and also providing systems architecture leadership
· Working knowledge of relational database internals (locking, consistency, serialization, recovery paths)
· Working knowledge of at least one scripting language (Bash, Python, Perl, etc.).
· Coding skills in the procedural language for at least one database engine a must (PL/SQL, T-SQL etc.)
· Proven track record of automating tasks
· Strong verbal and written communication skills

Preferred Qualifications

· 5+ years of experience engineering, administering and managing multiple relational database flavors (e.g. Oracle, MySQL, SQL Server, PostgreSQL)
· Familiarity with at least one compiled language (Java, C, C++ )
· Familiarity with Amazon Web Services (EC2, EBS, S3, etc.)
· Experience building and operating large-scale online services and fault-tolerant distributed systems
· Knowledge of OS and Database engine internals
· Understanding of networking, network programming, network-oriented design patterns, and distributed computing
· Proficient in Ruby, Python, PowerShell, or similar scripting language