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.

Key Responsibilities :

- 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.

Required Skills & Experience :

- 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)