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We are seeking a Sr. Database Developer with strong expertise in Aurora MySQL , AWS, and MongoDB. The ideal candidate will have hands-on experience designing, optimizing, and scaling databases in cloud environments, while collaborating closely with development teams and production DBAs to ensure high availability, performance, and reliability.
Job Responsibility:
Design, implement, and maintain MySQL Aurora databases in AWS environments
Manage and optimize AWS RDS instances, ensuring security, scalability, and cost efficiency
Work with EKS (Kubernetes) for database deployments and orchestration
Collaborate with development teams to design efficient data models and queries
Manage version control of database schemas and scripts using GitHub and Flyway
Support developers with high-performance MongoDB design and implementation for demanding workloads
Monitor database performance using AWS and Datadog, and proactively resolve bottlenecks
Ensure data integrity, security, and compliance with industry best practices
Requirements:
7+ years of experience with MySQL architecture and development
3+ years of experience with AWS RDS and/or Aurora
2+ years of experience with MongoDB
1+ year of experience with EKS, GitHub, and Datadog
Proven experience as a Development DBA in fast-paced environments
Hands-on experience with EKS (Kubernetes) and containerized deployments
Familiarity with GitHub CI/CD workflows
Extensive experience with MongoDB architecture, design, and optimization
Proficiency in database performance tuning, troubleshooting, and query optimization
Strong understanding of cloud security, scalability, and automation
Familiarity with the full software development life cycle (SDLC)
Strong communication and collaboration skills in cross-functional teams
Experience in database security, disaster recovery (DR) design, and data migration between environments and across different RDBMS platforms
Nice to have:
Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation)
Experience with CI/CD pipelines for database changes
Experience with automated monitoring, self-healing systems, and container orchestration (e.g., Kubernetes, Docker)
Exposure to additional AWS services (e.g., Lambda, CloudWatch, IAM)