Senior Database Operations Engineer
HybridHyderabad, Telangana, India
Job Summary
Drive deep application performance analysis by identifying, debugging, and eliminating query execution bottlenecks to maximize throughput and minimize latency. Design, scale, and evaluate schemas leveraging AWS-native database services including Amazon RDS, Aurora, and NoSQL engines while executing deep-dive performance forensics into memory structures, replication lag, and OS/hardware saturation metrics. Act as the strategic subject matter expert for database engine best practices, storage engines, and long-term data placement strategy across the engineering organization. Partner with internal application development teams to review data access patterns, optimize application-level database interaction layers, and establish organizational standards around indexing and schema configurations. Collaborate with Database SRE specialists to ensure highly optimized query layouts translate seamlessly into platform automation and IaC frameworks. This role is part of the Data Engineering team, which focuses on standardizing monitoring, alerting, and Infrastructure as Code practices to ensure the reliability and scalability of Crunchyroll's data infrastructure for over 100 million fans.
Required Qualifications
- Bachelor's degree in Computer Science, Information Technology, or a related field
- 8+ years of experience in database operations, or a related role with a focus on data platforms, data stores, data operations
- Deep experience in AWS RDS, Aurora and NoSQL
- 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
- Basic knowledge and some hands-on implementation of CI/CD pipelines and DatabaseOps 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
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