Engineer resilient AI infrastructure with AWS or GCP, Docker, and Kubernetes at Pelmorex’s adaptable hybrid Oakville workplace. This is a 12-month contract.
The Software Engineer, AI will harden experimental systems into highly available production platforms supporting The Weather Network, MétéoMédia, and business workflows. You will combine infrastructure operations, backend development, automated delivery, and reliability engineering. The position requires technical ownership across authentication, persistence, testing, deployment, observability, and post-launch support.
Key Responsibilities: Architect highly available systems with retries, timeouts, and circuit breakers
Manage Docker deployments, CI/CD pipelines, secrets, storage, and compute
Develop caching strategies across responses, embeddings, and media
Track prompts, tokens, latency, spend,



and sessions with telemetry
Document deployments, incident recovery, and infrastructure spend
Requirements: Five-plus years maintaining production backend microservices and RESTful APIs
Deep AWS or GCP expertise across identity, compute, storage, and costs
Experience with Kubernetes, networking, environment isolation, and rollback strategies
Operational excellence experience supporting uptime and incident recovery
Bachelor’s degree or equivalent practical industry background
Apply production infrastructure discipline to AI services through cloud operations, reliability design, observability, and automated delivery.

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📌 AI Platform Infrastructure Engineer (Ontario)
🏢 Pelmorex
📍 Ontario