Job Description

We are looking for an experienced Senior Database Administrator to manage and optimize production OLTP databases, ensuring high availability, performance, and security. The role involves proactive performance tuning, database migrations, upgrades, and close collaboration with stakeholders to support business-critical data requirements. Key Responsibilities: Ensure OLTP databases remain stable, secure, and high-performing Proactively investigate and resolve database performance issues Maintain backup policies and routine administrative tasks such as indexing and statistics updates Identify high-consumption queries and work with users to improve efficiency Manage database access controls and ensure security compliance with IT policies Build dashboards to identify performance gaps and support incident triage workflows Collaborate end-to-end with stakeholders to deliver required data outcomes Develop Python scripts to process and prepare data for consumption Lead migrations and upgrades of production-critical MySQL databases and Percona Clusters Plan and execute controlled upgrades with rollback and rollout strategies Perform version migrations with detailed risk assessment Manage partitioning and storage strategies aligned with log shipping use cases. Create and manage clustering and de-clustering for MySQL and MS SQL environments Requirements Strong hands-on experience with MySQL, MS SQL Server, and PostgreSQL Proven expertise in database performance tuning, indexing, and execution plan analysis Experience setting up and managing backups, restores, and replication Solid understanding of database security, roles, and permissions Hands-on experience with high-availability database systems Experience with production database migrations and upgrades is mandatory

7-10 years
Agentic AI, Python, Retrieval-Augmented Generation (RAG), Information Retrieval (IR), Large Language Models (LLMs), Generative AI, Prompt Engineering, Model Evaluation & Experimentation, TensorFlow, PyTorch, Scikit-learn, AutoML, AWS (SageMaker, EC2, S3), GCP, Cloud-Based Model Deployment, Performance Optimization

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