Pavago

Staffing and Recruiting

HeadofEngineering

₹100–180L ~AI est. Remote FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Executive candidates.

The Brief

“Head of Engineering at Pavago. Skills: Backend Engineering, Distributed Systems, AI/LLM Infrastructure, DevOps. Design backend systems. Build backend systems”

What You'll Achieve.

System uptime; Platform reliability; AI pipeline stability; Operational efficiency; Deployment reliability; Engineering velocity; Backend performance improvements; Scalability improvements; Code quality; Reduction in technical debt; Team delivery consistency; Engineering execution quality; Infrastructure stability; Incident reduction

Industry & Context.

Staffing and Recruiting
Problems you'll solve

Problem-solving instincts; Analytical

What They're Looking For.

Must Have

Deep expertise in .NET 8.0, C# expertise, ASP.NET Core expertise, Entity Framework Core expertise, Designing distributed systems experience, Microservice architectures experience, MySQL production experience, Redis production experience, MongoDB production experience, Event-driven systems production experience, Linux infrastructure hands-on experience, CI/CD pipelines hands-on experience, Large-scale API integrations experience, Distributed workflows experience, Building AI/LLM systems experience, Operating AI/LLM systems experience, Monitoring engineering understanding, Observability engineering understanding, Scalability engineering understanding, Reliability engineering understanding, Leading small engineering teams experience, Mentoring developers experience, English communication skills

Nice to Have

Startup experience, High-growth SaaS experience, Scaling AI-powered platforms experience, Scaling automation systems experience, Kubernetes familiarity, Docker familiarity, Terraform familiarity, Infrastructure-as-code tooling familiarity, Optimizing AI cost efficiency experience, Optimizing inference performance experience, Event streaming knowledge, Asynchronous processing knowledge, High-throughput architectures knowledge, AI-assisted software development workflows familiarity

What You'll Do.

Design backend systems

Build backend systems

Maintain backend systems

Own system architecture

Implement Clean Architecture

Implement Domain-Driven Design

Deliver new product features

Optimize existing systems

Resolve performance bottlenecks

Improve system scalability

Improve system maintainability

Improve engineering standards

Build scalable workflows

Optimize orchestration logic

Optimize failover systems

Optimize provider routing

Monitor cost efficiency

Integrate AI workflows

Manage MySQL environments

Optimize MySQL environments

Manage Redis environments

Optimize Redis environments

Manage MongoDB environments

Optimize MongoDB environments

Oversee caching strategies

Oversee analytics pipelines

Oversee event-driven systems

Oversee bulk data operations

Ensure data consistency

Improve database architecture

Improve query performance

Own Linux infrastructure

Own operational reliability

Implement centralized monitoring

Implement observability

Implement logging systems

Identify scalability risks

Identify reliability risks

Identify performance risks

Maintain platform uptime

Maintain deployment stability

Manage third-party API integrations

Maintain third-party API integrations

Design graceful degradation systems

Design fallback strategies

Design provider failover handling

Ensure platform stability

Improve fault tolerance

Lead engineering team

Mentor engineering team

Provide architecture guidance

Provide technical feedback

Establish engineering best practices

Enforce engineering best practices

Establish documentation standards

Enforce documentation standards

Establish deployment processes

Enforce deployment processes

Collaborate with leadership

Collaborate with founders

Create culture of ownership

Create culture of execution quality

Create culture of engineering excellence

How You'll Work.

Team & Collaboration

Leadership collaboration; Founder collaboration

Communication Scope

English communication

Process & Methodology

Roadmap planning

Full Job 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** • Man

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