AEG Worldwide
Database Engineer II
About this role
AXS is hiring a Database Engineer II to design, build, and optimize scalable database solutions that support their ticketing platform serving millions of fans annually. You'll work on both relational and NoSQL databases in cloud environments, integrating them with CI/CD pipelines while ensuring high availability, security, and performance.
What you'll do
- Design and maintain relational and NoSQL databases (Oracle, SQL Server, PostgreSQL, Aurora, MongoDB)
- Integrate database deployments into CI/CD pipelines with automated schema migrations and testing
- Develop infrastructure-as-code solutions using Terraform and CloudFormation for database provisioning
- Implement monitoring, alerting, and logging to ensure database performance and security
- Optimize queries, indexes, and execution plans for cost and performance improvements
- Manage high availability, replication, backup, and disaster recovery strategies
What they're looking for
- PostgreSQL, Oracle, SQL Server, and Aurora databases
- CI/CD tools (GitHub Actions, Azure DevOps, Liquibase)
- Infrastructure-as-code (Terraform, CloudFormation)
- AWS cloud platform expertise
- Database security, encryption, and key management
- Kafka cluster experience
- Query optimization and performance tuning
- Troubleshooting and root cause analysis
Benefits
- Competitive salary: $100,000–$120,000
- Eligibility for bonus compensation
- Full-time position
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AEG Worldwide
AEG Worldwide operates a global sports and entertainment business encompassing ticketing platforms (AXS), entertainment venues, and enterprise technology infrastructure. The company is hiring software engineers, product developers, infrastructure engineers, facility engineers, and enterprise application developers to build AI-integrated ticketing and fan engagement solutions, maintain physical entertainment venues, and support global IT and enterprise systems.
- Website
- aegworldwide.com
Likely interview questions
- Walk us through your experience designing and optimizing a relational database (PostgreSQL, Oracle, or SQL Server) for a high-scale production system. What performance challenges did you face and how did you resolve them?
- Describe your hands-on experience with Infrastructure as Code tools like Terraform or CloudFormation. How have you used IaC to automate database provisioning and what benefits did it provide?