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Salary: USD 90,000 - 115,000 / annual
Webull is a cloud-native fintech leader and digital brokerage platform serving over 20 million users across 16 regions worldwide. The company is built on next-generation global infrastructure powered by AWS, providing low-fee trading, robust market data, and advanced analytical tools to individual investors.
In this Database Administrator role, you will be a key technical contributor to Webull's infrastructure team, working closely with development teams to design, implement, and optimize highly scalable and reliable database solutions. You will play a critical role in ensuring our systems can support the demands of a high-volume, real-time trading environment with sub-millisecond latencies and 99.99% availability during peak trading hours.
Key Responsibilities:
- Collaborate with developers to design and deploy data-intensive OLTP applications leveraging AWS RDS (MySQL/Aurora) and Amazon DocumentDB
- Act as Subject Matter Expert (SME) for query optimization, advanced indexing, and schema design
- Lead evaluation and implementation of purpose-built databases (Amazon Neptune for graph data, Elasticsearch/OpenSearch for search) based on business needs
- Partner with performance engineers to conduct stress tests and "Game Day" scenarios to ensure system reliability
- Work within a DevOps culture to standardize database deployments, security protocols, and access patterns using automation tools
- Design and maintain real-time data pipelines using Apache Flink or AWS-native streaming services for live data processing and Change Data Capture (CDC)
- Proactively monitor and resolve database-level issues in non-production environments
You will bring deep database expertise and a strong understanding of cloud-native technologies, with a self-starter mindset and ability to rapidly master new AWS services and emerging data technologies.
Requirements:
- Bachelor's or Master's degree in Computer Science or related technical field
- 4-6 years of professional experience with MySQL, including deep knowledge of storage engines, locking, and transaction isolation levels
- 3+ years of experience with MongoDB or DocumentDB, with solid understanding of sharding, indexing, and consistency models
- Proven experience managing database workloads in an AWS environment; deep familiarity with Amazon RDS, Aurora, and DocumentDB is essential
- Strong mastery of data modeling, normalization, and ability to translate complex business logic into efficient technical tasks
- Advanced skills in analyzing execution plans and optimizing complex SQL/NoSQL queries
- Experience with high-concurrency transactional data in a brokerage or electronic trading environment is preferred
Desirable Skills:
- Practical experience with Apache Flink for real-time stream processing and data integration
- Experience with Amazon Neptune (Graph Database) or Time-Series databases
- Proficiency in Python, Go, or Terraform/CloudFormation for database automation and Infrastructure as Code
- AWS Certification: AWS Certified Database – Specialty or AWS Certified Solutions Architect
