# Head of Engineering > Pavago · Pakistan (Remote) · — · Posted 2026-05-08 **Workplace:** remote **Department:** Candidate Sourcing ## Description ### **Head of Engineering** **Position Type:** Full-Time, Remote **Working Hours:** U.S. Business Hours **Location:** Remote (Pakistan, LATAM, Eastern Europe Preferred) ### **About the Role** 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. 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. 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. ### **What You’ll Own** ### **Backend Architecture & Engineering** • Design, build, and maintain scalable backend systems using .NET 8.0, C#, ASP.NET Core, and Entity Framework Core • Own system architecture across 14+ independently deployed microservices • Implement Clean Architecture and Domain-Driven Design (DDD) principles • Deliver new product features, optimize existing systems, and resolve performance bottlenecks • Improve system scalability, maintainability, and engineering standards across the codebase ### **AI Systems & LLM Infrastructure** • Design and manage production-grade AI and LLM pipelines across multiple providers • Build scalable workflows for personalization, segmentation, automation, and AI-assisted features • Optimize prompts, orchestration logic, failover systems, and provider routing strategies • Monitor token usage, rate limits, latency, and cost efficiency across AI systems • Integrate AI-assisted development workflows and tooling into engineering operations ### **Databases & Data Infrastructure** • Manage and optimize MySQL, Redis, and MongoDB production environments • Oversee caching strategies, analytics pipelines, event-driven systems, and bulk data operations • Ensure strong performance, reliability, and data consistency across distributed services • Improve database architecture, indexing, and query performance ### **Infrastructure, DevOps & Reliability** • Own Linux-based infrastructure, CI/CD pipelines, deployments, and operational reliability • Implement centralized monitoring, observability, alerting, and logging systems • Proactively identify scalability, reliability, and performance risks before they impact users • Maintain high platform uptime and deployment stability across environments ### **API Integrations & System Resilience** • Manage and maintain 25+ third-party API integrations in production • Design retry logic, graceful degradation systems, fallback strategies, and provider failover handling • Ensure platform stability during outages, API failures, or degraded external services • Improve resilience and fault tolerance across all external dependencies ### **Team Leadership & Engineering Standards** • Lead and mentor a small engineering team through code reviews, architecture guidance, and technical feedback • Establish and enforce engineering best practices, workflows, documentation standards, and deployment processes • Collaborate directly with leadership and founders on product direction and technical roadmap planning • Create a culture of ownership, execution quality, and engineering excellence ### **What Makes You a Great Fit** • Senior-level engineer comfortable owning systems end-to-end • Strong architectural thinker who still enjoys hands-on coding daily • Calm under pressure and highly capable in fast-moving startup environments • Deeply analytical with strong problem-solving instincts • Strong communicator capable of aligning engineering decisions with business goals • Passionate about scalability, reliability, AI systems, and engineering excellence ### **Required Experience & Skills** • Deep expertise in .NET 8.0, C#, ASP.NET Core, and Entity Framework Core • Strong experience designing distributed systems and microservice architectures • Production experience with MySQL, Redis, MongoDB, and event-driven systems • Hands-on DevOps experience with Linux infrastructure and CI/CD pipelines • Experience managing large-scale API integrations and distributed workflows • Proven experience building and operating AI/LLM systems in production environments • Strong understanding of monitoring, observability, scalability, and reliability engineering • Experience leading small engineering teams and mentoring developers • Strong English communication skills ### **Preferred Experience** • Startup or high-growth SaaS experience • Experience scaling AI-powered platforms or automation systems • Familiarity with Kubernetes, Docker, Terraform, or infrastructure-as-code tooling • Experience optimizing AI cost efficiency and inference performance • Knowledge of event streaming, asynchronous processing, and high-throughput architectures • Familiarity with AI-assisted software development workflows ### **What a Typical Day Looks Like** A Head of Engineering’s day revolves around balancing architecture, execution, reliability, and leadership. You will: • Write and review production backend code • Make architectural decisions across services, infrastructure, and AI systems • Monitor production systems and resolve scalability or reliability issues • Guide developers through code reviews and technical implementation decisions • Collaborate with leadership on roadmap planning and technical prioritization • Improve deployment reliability, observability, and engineering workflows • Optimize AI systems for performance, stability, and cost efficiency In essence: you own the technical foundation of the platform and ensure the engineering organization can scale reliably while moving quickly. ### **Key Metrics for Success (KPIs)** • System uptime and platform reliability • AI pipeline stability and operational efficiency • Deployment reliability and engineering velocity • Backend performance and scalability improvements • Code quality and reduction in technical debt • Team delivery consistency and engineering execution quality • Infrastructure stability and incident reduction ### **Interview Process** • Initial Screening Call • Technical Interview with Pavago Recruiter • Technical / Architecture Interview with Client • Final Leadership Interview • Offer & Onboarding #HeadOfEngineering #EngineeringLeadership #DotNet #AIEngineering #LLM #SaaS #Microservices #BackendEngineering #RemoteJobs #TechLeadership #SoftwareEngineering #DevOps #CloudInfrastructure #RemoteWork ## Apply [Apply at Pavago](https://apply.workable.com/pavago/j/020DF4CCE3/apply) --- Powered by [Workable](https://www.workable.com)