Posted:4 hours ago|
Platform:
Work from Office
Full Time
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.
• 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.
• 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. Internal Use
• 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.
• 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)
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