Teams at Kadel Labs

Analyze and reverse-engineer a complex legacy SQL Server platform, including application code, stored procedures, functions, and lookup tables. Build accurate production-safe data extracts, identify data-quality issues, support schema mapping and migration reconciliation, compare data against application screens, and document business rules. The role requires extensive T-SQL expertise, familiarity with C#/.NET data access, daily use of LLM coding tools, and rigorous validation of results.

Design, implement, and optimize scalable MongoDB data solutions for enterprise applications. Responsibilities include schema design, CRUD operations, indexing, query optimization, aggregation pipelines, .NET/C# integrations, replication, sharding, backup and recovery, monitoring, security, data lifecycle management, change streams, and search capabilities. The role also collaborates with backend teams on APIs and microservices.

Lead cross-functional engineering teams across front-end, back-end, QA, and integration. Drive technology strategy, architecture, scalable application development, SDLC execution, cloud adoption, AI initiatives, code quality, compliance, and innovation. Manage stakeholder communication, recruitment, mentoring, performance development, and technical roadmaps while overseeing secure, reliable, and high-quality solutions using Azure, .NET Core, React, Docker, and Kubernetes.