Publié il y a 3 mois
AI Infrastructure Engineer
@ Palona AI
Toronto, Ontario
En bref
Palona AI is hiring an AI Infrastructure Engineer, a full-time role to build and operate the cloud platform beneath its real-time AI agent products. The work covers scalable AWS infrastructure, reliability, deployment safety, observability, security, and cost, alongside writing production code. The posting states competitive salary with stock options, medical, dental, vision, retirement, leave and disability benefits, and paid time off.
Responsabilités :
- Design and operate secure, scalable cloud infrastructure for real-time AI services
- Improve reliability through SLOs, observability, and capacity planning
- Build deployment and release systems that are fast and safe
- Own infrastructure as code and reusable platform patterns
- Diagnose complex distributed-system failures and respond to incidents
Résumé des exigences :
- 3+ years of relevant industry experience
- Strong software engineering fundamentals and production distributed systems experience
- Hands-on experience with a major cloud platform, AWS preferred
- Experience with containers, infrastructure as code, CI/CD, and monitoring
- Ability to write reliable automation in Python or another modern language
Outils et compétences
Avantages mentionnés
Source et dates
Site carrière / système de candidatures · workable
- Date publiée par l’employeur
- 2026-08-10
- Première détection par notre source
- 2026-10-09
- Mise à jour du dossier source
- 2026-10-09
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Intermédiaire |
| Domaine | Développement logiciel |
| Expérience | 3 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau, Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Avantages mentionnés | Congés payés généreux, Régime de retraite |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Palona AI
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
Bring your brand to life. Make your customers fall in love.
Description complète de l’entreprise
We are building a new, completely proprietary AI system with multi-agents, multimodal-to-action models, combined with unrivaled emotional intelligence language models to empower businesses to scale by delivering a high-touch customer experience, automation and efficiency. Our AI Agents will supercharge the core of your business.
- Abonnés LinkedIn
- 3 005
- Personnes associées sur LinkedIn
- 31
- Bureaux déclarés
- Menlo Park, CA 94025, US
- Catégories d’activité
- Brand Marketing
- Software
- Artificial Intelligence (AI)
- Autres noms enregistrés
- Palona AI
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 10 000 000
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
We are building a new, completely proprietary AI system with multi-agents, multimodal-to-action models, combined with unrivaled emotional intelligence language models to empower businesses to scale by delivering a high-touch customer experience, automation and efficiency. Our AI Agents will supercharge the core of your business.
| Champ | Valeur |
|---|---|
| Secteur | Software Development |
| Taille | 11-50 employees |
| Siège social | Menlo Park, CA |
| Type d’organisation | Privately Held |
| Fondée en | 2024 |
| Offres sur Jobsy | 5 |
| Voir la page |
Palona’s AI agents operate continuously in production, handle real-time guest interactions, integrate with restaurant systems, and face sharp traffic peaks. Infrastructure is therefore part of the product: latency, reliability, deployment safety, observability, security, and cost directly shape the guest and operator experience.
We are looking for an Infrastructure Engineer who combines cloud and reliability depth with strong software engineering judgment. You will build and operate the platform beneath Palona’s AI products, improve how engineers ship, and turn production signals into durable system improvements. This is not a ticket-driven IT or operations role. You will write production code, design systems, automate repetitive work, and own outcomes across the full service lifecycle.
Our current environment includes Python services, Docker, AWS and selected Azure services, ECS and Lambda workloads, API Gateway, load balancers, relational data systems, OpenTofu/Terraform, Datadog, and CI/CD automation. We value the ability to learn and make sound tradeoffs more than exact tool-for-tool matching.
What you will own:
- Design, build, and evolve secure, scalable cloud infrastructure for real-time AI services and customer-facing applications.
- Improve service reliability through clear SLOs, actionable observability, capacity planning, failure testing, and pragmatic incident prevention.
- Build deployment and release systems that make production changes fast, repeatable, auditable, and safe.
- Own infrastructure as code, environment consistency, and reusable platform patterns across development, staging, and production.
- Partner with product and AI engineers on architecture, performance, data flows, and operational readiness for new capabilities.
- Diagnose complex distributed-system failures across application, network, database, model-provider, and third-party integration boundaries.
- Reduce infrastructure and model-serving cost without compromising customer experience or engineering velocity.
- Strengthen secrets management, access controls, backup and recovery, vulnerability management, and other practical security foundations.
- Build internal tooling and paved paths that let engineers ship and operate services with less manual work.
- Participate in incident response and turn incidents into better systems, automation, documentation, and engineering judgment.
Requirements
- 3+ years industrial experience in relevant technical domain.
- Strong software engineering fundamentals and experience building or operating production distributed systems.
- Hands-on experience with a major cloud platform; AWS experience is especially relevant.
- Experience with containers, infrastructure as code, CI/CD, monitoring, alerting, and production debugging.
- Ability to write reliable automation and services in Python or another modern programming language.
- Sound judgment around availability, latency, scalability, security, and cost tradeoffs.
- A track record of taking ambiguous operational problems from diagnosis through durable resolution.
- Clear communication during architecture reviews, launches, and incidents.
- AI-native working habits and curiosity about the operational behavior of LLM- and agent-powered systems.
Benefits
- Competitive Salary and Stock Option Plan.
- Medical, dental, vision, retirement, leave, and disability benefits as applicable.
- Family Leave
- Short Term & Long Term Disability
- Paid time off and company holidays.
- Learning and development support.
Journal
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