<h3><strong>Head of Engineering</strong></h3><p><strong>Position Type:</strong> Full-Time, Remote<br><strong>Working Hours:</strong> U.S. Business Hours<br><strong>Location:</strong> Remote (Pakistan, LATAM, Eastern Europe Preferred)</p><h3><strong>About the Role</strong></h3><p>We are hiring a highly technical and hands-on Head of Engineering to own the entire engineering function of a fast-growing SaaS platform. This role combines deep backend engineering, distributed systems architecture, AI infrastructure, and technical leadership in a fast-moving startup environment.</p><p>This is not a purely managerial role. You will actively write production code, make architectural decisions, oversee infrastructure reliability, and guide a lean engineering team while helping scale a platform operating across multiple services and AI-powered workflows.</p><p>The ideal candidate thrives in startup environments, takes ownership of systems end-to-end, and understands how to balance rapid product development with long-term scalability and reliability.</p><h3><strong>What You’ll Own</strong></h3><h3><strong>Backend Architecture &amp; Engineering</strong></h3><ul><li>Design, build, and maintain scalable backend systems using .NET 8.0, C#, ASP.NET Core, and Entity Framework Core<br> • Own system architecture across 14+ independently deployed microservices<br> • Implement Clean Architecture and Domain-Driven Design (DDD) principles<br> • Deliver new product features, optimize existing systems, and resolve performance bottlenecks<br> • Improve system scalability, maintainability, and engineering standards across the codebase</li> </ul><h3><strong>AI Systems &amp; LLM Infrastructure</strong></h3><ul><li>Design and manage production-grade AI and LLM pipelines across multiple providers<br> • Build scalable workflows for personalization, segmentation, automation, and AI-assisted features<br> • Optimize prompts, orchestration logic, failover systems, and provider routing strategies<br> • Monitor token usage, rate limits, latency, and cost efficiency across AI systems<br> • Integrate AI-assisted development workflows and tooling into engineering operations</li> </ul><h3><strong>Databases &amp; Data Infrastructure</strong></h3><ul><li>Manage and optimize MySQL, Redis, and MongoDB production environments<br> • Oversee caching strategies, analytics pipelines, event-driven systems, and bulk data operations<br> • Ensure strong performance, reliability, and data consistency across distributed services<br> • Improve database architecture, indexing, and query performance</li> </ul><h3><strong>Infrastructure, DevOps &amp; Reliability</strong></h3><ul><li>Own Linux-based infrastructure, CI/CD pipelines, deployments, and operational reliability<br> • Implement centralized monitoring, observability, alerting, and logging systems<br> • Proactively identify scalability, reliability, and performance risks before they impact users<br> • Maintain high platform uptime and deployment stab