Engineer resilient AI infrastructure with AWS or GCP, Docker, and Kubernetes at Pelmorex’s flexible 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, setting 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 (Oakville)
🏢 Pelmorex
📍 Oakville