Technology Engineer

2 weeks ago


Bengaluru, Karnataka, India GSSTech Group Full time ₹ 15,00,000 - ₹ 25,00,000 per year

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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