Technical Lead, Backend Engineering

Wafr Technologies Ltd

Vancouver, CAonsitePosted Jul 21, 2026
Posting intelligenceActively listedReposted 3×, possible evergreen/ghost posting

Skills

kubernetesdockerazurecicdgooglecloudawsml

About the role

Job Summary

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, lead a small team of engineers, and stay hands-on in implementation yourself. You'll own critical infrastructure decisions across modern frameworks, cloud platforms, and languages, and help shape our technical strategy as we scale. Startup pace, high ownership, wearing multiple hats.

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

Skills

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

Pay: From $100,000.00 per year

Benefits:

Dental care

Extended health care

Work Location: In person

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