Database Engineer

Title: Database Engineer Location: Los Angeles, CA Duration: Long Term 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 Software Development Life Cycle (SDLC) and is passionate about building scalable, secure, and high-performance applications. Key Responsibilitie • sDatabase Optimization: Design, implement, and optimize SQL Server databases for high availability, scalability, and performance • .Cloud Migration: Lead and support Azure migration efforts for legacy databases and data services • .Cloud Architecture: Develop and maintain cloud-native data solutions using Azure SQL, Azure Data Factory, Cosmos, and other relevant services • .AI-Driven SDLC Operations: Operate efficiently within an AI-driven development 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 • .Cross-Functional Collaboration: Partner with application engineers to ensure seamless integration between backend data systems and product features • .Monitoring & Security: Monitor and troubleshoot database performance, security, and compliance issues .Required Qualifications • :6+ years of experience in database engineering with a strong focus on SQL Server • .Core Database Expertise: Strong understanding of database design, indexing, query optimization, and stored procedures • .Data Modeling: Strong experience in Database Modeling using 3rd Normal Form (3NF) alongside solid data architecture experience • .NoSQL Experience: 3–5 years of experience with NoSQL databases, specifically Cosmos DB • .Azure & SQL Internals: Deep knowledge of SQL Internals within Azure SQL Database Hyperscale • .Performance Tuning: • Advanced experience optimizing database queries and stored procedures • .Proficiency in monitoring database performance from both a system and database standpoint • .Strong background utilizing SQL Server-side Trace • .Expertise in reviewing stored procedure performance, reading execution plans, and implementing optimizations • .Cloud Infrastructure: Proven experience with Azure SQL, Azure Data Factory, and cloud-native data architectures • .Query & Table Design: Expert skills in designing and writing high-performance SQL queries and table schemas • .AI Tooling: Familiarity with AI code assistants like GitHub Copilot or similar tools • .Preferred Plus: Knowledge of distributed databases, ELT tools, and data stream processing tools is a major plus .