Head of Engineering

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

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Originally posted on Himalayas