Software Engineer

Role:

• Responsible for designing, implementing, and managing database solutions using MongoDB Atlas within the Google Cloud Platform ecosystem.
• This role involves ensuring data integrity, optimizing performance, and collaborating with cross-functional teams to enhance application functionality.
• Responsible for managing Redis caching solutions within the Google Cloud Platform. This role focuses on enhancing application performance through effective caching strategies, ensuring high availability and reliability of Redis instances.
• Collaborate with others team to integrate NOSQL DB s with applications.

• Bachelor s degree in Computer Science, Information Technology, or a related field.
• Proven experience with MongoDB Atlas, Redis and cloud database management.
• Strong understanding of NoSQL databases and data modelling concepts.
• Familiarity with Google Cloud Platform services, especially related to databases.
• Proficient in programming languages such as Python, Java, or Node. js.
• Experience with Docker for containerization of applications.
• Knowledge of OpenShift for managing containerized applications.
• Familiarity with CI/CD tools like Tekton and GitHub for automated deployments.
• Experience with Terraform for IaC and provisioning cloud infrastructure.
• Excellent problem-solving and communication skills.

• Design and implement scalable database solutions using MongoDB Atlas and Memorystore Redis in GCP.
• Optimize database performance and ensure high availability and security of data.
• Collaborate with Application team to integrate MongoDB Atlas and Redis with applications.
• Monitor and troubleshoot database issues and performance bottlenecks.
• Develop and maintain backup and recovery plans.
• Implement best practices for data modelling and database architecture.
• Provide technical support and guidance to team members on MongoDB and Redis related queries.
• Stay updated with the latest features and improvements in MongoDB Atlas and GCP Memorystore Redis.
• Ability to write scripts and automate repetitive jobs wherever required.
• Utilize tools like OpenShift for container orchestration and manage deployments.
• Implement CI/CD pipelines using Tekton and GitHub Actions for database-related applications.
• Use Terraform for infrastructure as code (IaC) to manage and provision cloud resources.