Technology Engineer

7 days ago

Bengaluru, India GSSTech Group Full time

We are looking for an experienced Technology Engineer with strong expertise in Microsoft SQL Server (MSSQL) and hands-on experience with Vector Databases . The ideal candidate will be responsible for designing, implementing, and optimizing database solutions that support high-performance, large-scale applications, while also leveraging vector databases for AI/ML-driven workloads. Requirements Key Responsibilities Design, implement, and maintain MSSQL databases to ensure high availability, performance, and security. Develop and optimize complex queries, stored procedures, triggers, and functions. Implement backup, recovery, and disaster recovery strategies. Work with Vector Databases (such as Pinecone, Weaviate, Milvus, Chroma, or similar) to support AI/ML and semantic search use cases. Optimize data pipelines and indexing strategies for high-performance data retrieval. Collaborate with application development teams to design scalable and efficient database solutions. Monitor, troubleshoot, and resolve database performance issues. Ensure compliance with security, regulatory, and data governance policies. Stay updated on emerging trends in database technologies, particularly in vector search and AI-driven data management. Required Skills & Experience 5 to 7 years of professional experience in database engineering/administration. Strong expertise in MSSQL Server (installation, configuration, optimization, replication, clustering, performance tuning). Hands-on experience with at least one Vector Database (e.g., Pinecone, Weaviate, Milvus, Chroma, Vespa, Qdrant). Proficiency in SQL programming and database design principles. Strong knowledge of ETL processes , data pipelines , and integration with applications. Experience with cloud environments (Azure, AWS, or GCP) and managed database services. Familiarity with AI/ML workloads , semantic search, and embeddings-based data retrieval is a plus. Excellent problem-solving, analytical, and communication skills. Good to Have Knowledge of NoSQL databases (MongoDB, Cassandra, etc.). Exposure to Python or Java for integration with vector DBs. Experience with Kubernetes and containerized database deployments .

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