Head of Engineering

Head of Engineering (.NET, AI/LLM & Distributed Systems) – RemotePosition Type: Full-Time, Remote

Working Hours: U.S. Business Hours

Location: Remote — Pakistan, LATAM & Eastern Europe Preferred

About the RoleWe’re hiring a highly technical, hands-on Head of Engineering to own the engineering function for a fast-growing SaaS platform.

This is not a purely managerial role. You’ll remain deeply involved in production engineering while leading a lean technical team and owning architecture, infrastructure, reliability, and engineering standards.

You’ll work across:

• .NET / C# backend engineering

• Distributed systems and microservices

• AI & LLM infrastructure

• Databases and data pipelines

• DevOps, CI/CD and observability

• Third-party API integrations

• Engineering leadership and technical strategy

If you’re a senior engineering leader who still enjoys writing production code, solving difficult architecture problems, and owning systems end-to-end, this role is built for you.

What You’ll OwnBackend Engineering & Architecture

• Design, build, and maintain scalable backend systems using:

• .NET 8.0

• C#

• ASP.NET Core

• Entity Framework Core

Own architecture across 14+ independently deployed microservices

• Apply Clean Architecture and Domain-Driven Design (DDD) principles

• Ship new product capabilities while improving existing systems

• Diagnose and resolve performance bottlenecks

• Improve scalability, maintainability, and engineering standards

• Make pragmatic architectural decisions that balance speed with long-term reliability

AI & LLM Systems Design and operate production-grade AI/LLM pipelines

• Manage workflows spanning multiple AI providers

• Build scalable AI capabilities for:

• Personalization

• Segmentation

• Automation

• AI-assisted product features

• Optimize:

• Prompting

• Orchestration

• Provider routing

• Failover logic

• Monitor and improve:

• Token usage

• Rate limits

• Latency

• Reliability

• AI infrastructure costs

• Introduce effective AI-assisted development workflows across engineering

Databases & Data Infrastructure

• Manage production environments using:

• MySQL

• Redis

• MongoDB

• Design and improve caching strategies

• Support analytics pipelines and event-driven workflows

• Manage high-volume and bulk data operations

• Optimize database schemas, indexing, and queries

• Maintain data consistency and performance across distributed services

Infrastructure, DevOps & Reliability

• Own Linux-based production infrastructure

Maintain and improve CI/CD pipelines

• Oversee deployments and release reliability

• Implement centralized:

• Monitoring

• Logging

• Alerting

• Observability

• Identify infrastructure and scalability risks proactively

• Improve uptime, incident response, and deployment stability

• Strengthen engineering processes around production reliability

APIs, Integrations & Resilience Own 25+ production third-party API integrations

• Build resilient integration patterns including:

• Retry logic

• Provider failover

• Graceful degradation

• Fallback strategies

• Error handling

• Protect platform stability during third-party outages and degraded services

• Improve fault tolerance across external dependencies and distributed workflows

Engineering Leadership

• Lead and mentor a lean engineering team

• Conduct meaningful code reviews and architecture reviews

• Remain hands-on with production code

• Establish engineering standards for:

• Code quality

• Documentation

• Testing

• Deployment

• Architecture

• Guide developers through complex technical decisions

• Collaborate directly with founders and leadership on:

• Product roadmap

• Technical priorities

• Architecture

• Scalability

• Engineering investment

• Build a culture centered on ownership, execution, and engineering quality

**What Makes You a Strong Fi...