# Technical Lead, Backend Engineering

**Company:** [Wafr Technologies LTD.](http://jobs.workable.com/companies/rrUoxnpV78u4Xso6LaGPCr.md)
**Location:** Vancouver, Canada
**Workplace:** on site
**Employment type:** Full-time

[Apply for this job](http://jobs.workable.com/view/41b9332a-3bfb-4171-b5e5-5b7d2e0edbc8)

## Description

### The Role

**We're hiring a hands-on Technical Lead to take our AI-driven data centre infrastructure platform from prototype to production. This isn't a maintenance role,  you'll architect, build, deploy, and scale the backend, own critical infrastructure decisions, and stay hands-on in implementation. Startup pace, high ownership, wearing multiple hats.**

### Key Responsibilities

-   Own platform architecture and lead the transition from prototype to production-grade deployment
-   Design and run cloud infrastructure, CI/CD, and DevOps automation for reliable operations
-   Build and maintain backend systems, APIs, orchestration services, and operational tooling
-   Translate thermal, power, and closed-loop control requirements into platform architecture (no direct OT/industrial-systems engineering required)
-   Support optimization and ML systems involving multi-objective decision-making
-   Set the bar for security, uptime, observability, and incident response
-   Give realistic estimates and flag risks or scope changes early, not after they've become a problem
-   As we grow: mentor, weigh in on hiring, and help set technical standards

## Requirements

-   6+ years in backend, infrastructure, or platform engineering, with real product experience (no formal "lead" title required if you're ready to act like one)
-   Track record taking a product from MVP to production
-   Strong hands-on cloud experience (AWS, Azure, or GCP), plus CI/CD, infrastructure automation, and Docker/Kubernetes
-   Solid backend/API development and experience running high-uptime production systems
-   Security and infrastructure-hardening fluency
-   Startup experience — comfortable operating independently with ambiguity
-   Realistic scoping/estimation, and a habit of surfacing risk early
-   Depth in at least one of: optimization/ML infrastructure, multi-objective decision systems, or telemetry/monitoring at scale

### Nice to Have

-   Background in AI infrastructure, data centers, energy systems, or industrial automation
-   Real-time orchestration, distributed systems, or edge computing
-   MILP solvers or operational AI/optimization frameworks
-   Liquid cooling, thermal optimization, or power-aware infrastructure
-   Battery management, power electronics, or energy dispatch systems
-   Founding engineer / early-stage technical leadership experience
-   SOC 2, ISO 27001, or similar compliance framework familiarity

## Benefits

-   Milestone-based performance bonus
-   Stock options
-   Extended health and dental
-   Real room to grow as the engineering org scale