C2C Job Opening for - Database Engineer - West los Angeles, CA

Job Title Database Engineer Location Requirement West Los Angeles, CA Job Summary We are looking for a Database Engineer with deep expertise in SQL Server and Azure cloud technologies to join our product engineering team. This role is ideal for someone who thrives in a fast-paced, AI-enhanced SDLC and is passionate about building scalable, secure, and high-performance applications. Key Responsibilities Design, implement, and optimize SQL Server databases for high availability, scalability, and performance. Lead and support Azure migration efforts for legacy databases and data services. Develop and maintain cloud-native data solutions using Azure SQL, Azure DataFactory, Cosmos, and other relevant services. Operate in an AI-driven SDLC environment: Collaborate with AI copilots to convert stakeholder requirements into structured data models and specs. Use generative AI tools to iterate on database architectures and performance strategies. Pair program with AI assistants (e.g., GitHub Copilot, Claude) to write, refactor, and validate SQL in real time. Implement tools for automated validation, bug prediction, and self-healing data pipelines. Collaborate with application engineers to ensure seamless integration between backend data systems and product features. Monitor and troubleshoot database performance, security, and compliance issues. Required Qualifications 6+ years of experience in database engineering with a focus on SQL Server. Strong understanding of database design, indexing, query optimization, and stored procedures. Strong experience in database modeling using 3rd Normal Form and data architecture. 3-5 years of experience in NoSQL technologies such as Cosmos. Solid knowledge of SQL internals in Azure SQL Database Hyperscale. Experience optimizing database queries and stored procedures, including monitoring performance for system and database endpoints. Experience using SQL Server side Trace. Proven experience with Azure SQL, Azure Data Factory, and cloud-native data architectures. Expertise reviewing stored procedure performance, reading execution plans, and making optimizations. Designing and writing high-performance SQL queries and table designs. Familiarity with AI code assistants like GitHub Copilot or similar tools. Knowledge of distributed databases and ELT tools, data stream processing tools is a big plus. #J-18808-Ljbffr Tech Mirrors