Job
Description
About the role Crunchyroll is growing and changing, presenting unique challenges and opportunities to support millions of anime fans around the world. The Data Engineering team provides seamless help to our internal stakeholders, ensuring an exceptional experience for all Crunchyroll fans. As a Sr. Database Engineer for the Data Engineering team, you will be responsible for maintaining and enhancing the reliability of our data infrastructure. Your work will directly impact the availability and performance of our data services, enabling the organization to make data-driven decisions. You will collaborate closely with data engineers, and software engineers to develop and drive 100% automation, best practices for deep monitoring and alerting. About You We get excited about candidates, like you, because... Bachelors degree in Computer Science, Information Technology, or a related field. 8+ years of experience in site reliability engineering, database operations, or a related role with a focus on data platforms, data stores, data operations. Extensive experience with AWS cloud platform and their data-related services. Proficiency in monitoring tools (e.g., Datadog, CloudWatch, DevOps Guru, DB Performance Insights). Proficiency in one or more programming languages (e.g. Python, Java) Strong understanding of various performance metrics both at a high level and at a low level like Disk/IO saturation. Experience in identifying and eliminating the bottlenecks in the system. Strong understanding of database internals like types of indexes, schemas, query plans. Strong understanding of database systems (e.g., SQL, NoSQL) and experience in managing large-scale data infrastructures. At least basic knowledge in automation frameworks (e.g., Terraform, Cloud Formation). At least basic knowledge and some hands-on implementation of CI/CD pipelines and DataOps practices. Experience with data governance, compliance, and lifecycle management. Strong problem-solving skills and a proactive approach to identifying and addressing issues. Ability to independently own and execute projects while effectively collaborating with the team to influence and shape the vision of the data engineering organization. Strong communication skills and the ability to mentor and guide junior engineers.
