Jefferson Mañale
Software Engineer
Software Engineer specializing in scalable C#/.NET backend systems and multi-tenant cloud architectures. I own the end-to-end delivery lifecycle—from system design and CI/CD to observability and production support. By leveraging agentic AI and AI-assisted workflows, I act as a force multiplier for my team, accelerating how we build, debug, and ship highly reliable software.
Skills
Key skills that define my professional identity.
C#
Primary language for building robust, maintainable backend services and enterprise applications.
.NET 8 / 10
Build and migrate high-performance applications across modern .NET, including .NET Core and the .NET Framework.
ASP.NET Core
Design and ship scalable web applications and MVC solutions with a focus on performance and reliability.
REST APIs
Design and optimize RESTful endpoints with solid authentication, error handling, and data throughput.
SQL Server
Model relational databases and write tuned queries, stored procedures, and indexes for fast data access.
Git
Daily version control with branching strategies and code reviews across collaborative teams.
Experience
Professional journey and career timeline.
Own end-to-end delivery of features and production fixes across the web apps and backend services of a multi-tenant enterprise SaaS platform on AWS, from planning through release and incident response.
C# Developer
Backend development on an AI-powered cybersecurity SaaS platform, delivering the vendor integrations behind its AI recommendation engine and faster, regression-tested internal APIs.
Software Developer I - Full Stack
Full-stack development of enterprise systems used by public utility companies.
Projects
Showcasing impactful projects and technical achievements.
Vendor Integration Platform
Led five remote backend developers integrating 90+ security vendor APIs into an AI recommendation engine — where the hard problem is not any single integration, but keeping the system correct while some fraction of ninety upstreams is always degraded.
Billing Export Performance Rebuild
Restructured a row-by-row export pipeline in an enterprise billing system into a single set-based stored-procedure call, taking a routine 15-second operation to 0.135 seconds — a 99.1% reduction achieved by deleting thousands of database round trips rather than by tuning any one of them.