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Added 2 months ago
C
Senior Data Engineer
CarePartners
London, ON · Waterloo, ON
- Full-time
Ensure data architecture supports future growth, advanced analytics, automation, and AI initiatives. DATA INTEGRATION, ENGINEERING AND MODELING
Added 3 months ago
T(
Principal AI/ML Engineer
Tilt (f.k.a. Delphia)
Remote, Canada
- $240,000 to $320,000 CAD / year
- Full-time
- Remote
…Investments (and more), working with major brokerages and financial data…
Added 3 months ago
L
Principal AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
The Enterprise Data & AI organization is a strategic and operational driver of growth for lululemon, owning and building the data and AI platforms and services that enable the enterprise to…
Added 3 months ago
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AI Tech Lead
BoomerangFX
Mississauga, ON
- $80,000 to $90,000 CAD / year
- Full-time
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, Information Technology, or a related technical field.
Added 3 months ago
A
AI and Automation Software Engineer
AMD
Markham, ON
- $187,200 to $280,800 CAD / year
- Full-time
Identify and prioritize opportunities where AI, automation, scripting, data processing, or workflow integration can materially improve engineering productivity and team efficiency.
Added 3 months ago
D
Staff Software Engineer
Dialpad
Vancouver, BC
- Full-time
…reusable services. Your impactful work helps improve Dialpad’s developer experience, productivity, security, and…
Added 4 months ago
A
Intermediate Full Stack Software Engineer
AltaML
Edmonton, AB
- $90,000 to $110,000 CAD / year
- Full-time
Use Claude Code and AI-assisted development tools (Cursor, GitHub Copilot, and similar) as a standard part of the engineering workflow - for prototyping, code generation, refactoring,…
Added 3 months ago
KS
Senior Lighting Artist | Artiste senior en éclairage - GameSim - Talent Pipeline
Keywords Studios
Canada
- Full-time
Build effective working relationships with Art Direction, Production, Technical Art, Environment Art, Design, Engineering, clients, and partner teams
Added 3 months ago
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Senior Director, Pricing
Financeit
Toronto, ON
- $175,000 to $195,000 CAD / year
- Full-time
Construct and maintain robust pricing models reflecting current data trends to help operationalize the pricing strategy and guide day-to-day tactical decisions
Added 3 months ago
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Staff API Engineer
Equinix
Toronto, ON
- Full-time
…MCP), SDK and documentation generation workflows, and docs/developer platform engineering (e.g., Docusaurus, Backstage, Confluence) including plugins, upgrades, light theming, and CI/CD.…
Added 3 months ago
A
Senior Platform Engineer
AutoTrader.ca
Toronto, ON
- Full-time
Join our Platform Engineering team at AutoScout24 Group / Trader Corporation. We build the internal platform that 600+ developers rely on to ship software quickly and safely: centralized…
Added 3 months ago
B
Director, Internal Audit Analytics & Artificial Intelligence
Brookfield
Toronto, ON
- Full-time
Provide technical direction for Power BI, Alteryx, SQL, Python and LLM tools (Microsoft Copilot, ChatGPT, Claude), including prompt engineering, automation and agents.
Added 3 months ago
GD
Data Scientist I
Groupe Dynamite, Inc Garage
Mont-Royal, QC · Ville Mont-Royal, Quebec
- Full-time
You are an experienced cloud developer with a passion for data science and data modeling.
Added 1 month ago
GS
Senior Systems Administrator
GlassHouse Systems
Toronto, ON
- Full-time
· Support data centre and server room operations, including hardware deployments, equipment lifecycle management, and infrastructure support activities.
Added 2 months ago
M
Senior Manager, Advanced Analytics
MNP
Edmonton, AB · AB · NS
- Full-time
Possessing a certification(s) in one of the following is a big plus - AWS/Azure/GCP data engineering
Added 2 months ago
C
Database developer Smartstream TLM SME Senior Programmer Assistant Vice President
Citi
Mississauga, ON
- Full-time
Oversee the full reconciliation lifecycle: data ingestion, validation, matching, exceptions, break investigation, ageing, workflow, reporting, and controls.
Added 2 months ago
PA
AI Infrastructure Engineer
Palona AI
Toronto, ON
- Full-time
Our current environment includes Python services, Docker, AWS and selected Azure services, ECS and Lambda workloads, API Gateway, load balancers, relational data systems,…
Added 2 months ago
PA
AI Modeling Engineer
Palona AI
Toronto, ON
- Full-time
…newest model. It requires disciplined evaluation, high-quality data, modeling judgment, experimentation, and production feedback…
Added 2 months ago
PA
AI Software Engineer, Product
Palona AI
Toronto, ON
- Full-time
Depth in either Python/backend engineering or TypeScript/React frontend engineering, plus the ability and desire to work effectively across the full stack.
Added 2 months ago
P
Software Developer - Talent Community
Portfolio+
Stouffville, ON · Canada - Stouffville, ON
- Full-time
As a Software Developer with Portfolio+, you will play a key role in shaping and enhancing our financial software solutions, empowering customers to achieve their goals. Leveraging your…
Added 2 months ago
Solutions Architect, AI Systems
Viral Nation Inc.
Canada
Collaborate with Data Engineering and AI teams to keep infrastructure aligned and data quality high as you build.
Added 1 month ago
CRM & IC Manager
Sun Pharmaceutical Industries Ltd
Brampton, ON
Collaborate with data engineering teams to design scalable data models and workflows
Added 2 months ago
Senior Full Stack API Engineer
Questrade Financial Group
Toronto, ON
This is a comprehensive role requiring deep full-stack engineering discipline. You will bridge the gap between frontend user experience (building self-serve developer portals and SDKs) and…
Added 4 months ago
SI
Staff R&D Engineer-17397
Synopsys Inc
Vancouver, BC
- Full-time
Synopsys is the leader in engineering solutions from silicon to systems, helping customers innovate AI-powered products faster through silicon design, IP, simulation, and analysis solutions.
Added 5 months ago
BA
Product Engineer (Pharma)
Basetwo AI
Toronto, ON
- Full-time
This is a highly cross-functional role that combines engineering expertise, customer engagement, data and simulation analysis, and technical problem-solving. You'll work directly with…

Palona AI

AI Infrastructure Engineer

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: 3+ years industrial experience in relevant technical domain.
Posting language: English
Posted: Aug 11, 2026

Original job description

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.

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.

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.

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More about this job

Responsibilities

You will design, build, and maintain secure, scalable cloud infrastructure to support real-time AI services and customer-facing applications. Additionally, you will improve service reliability through observability, failure testing, and the development of automated deployment systems.

Requirements

Candidates must have at least 3 years of industrial experience in distributed systems and cloud platforms, specifically AWS. Strong software engineering fundamentals, proficiency in Python, and experience with infrastructure as code and containerization are required.

Skills

Python
AWS
Docker
Infrastructure as Code
Terraform
OpenTofu
CI/CD
Datadog
Distributed Systems
Cloud Infrastructure
Observability
System Reliability
API Gateway
Azure
Security Foundations
Automation

Benefits

Competitive Salary
Stock Option Plan
Medical Insurance
Dental Insurance
Vision Insurance
Retirement Benefits
Family Leave
Short Term Disability
Long Term Disability
Paid Time Off
Company Holidays
Learning and Development Support

Visa sponsorship

Not detected in the job text

Keywords

AI Infrastructure
Cloud Computing
Python
AWS
Azure
Docker
ECS
Lambda
API Gateway
OpenTofu
Terraform
Datadog
CI/CD
Distributed Systems
Reliability Engineering
Observability
SLOs
Capacity Planning
Infrastructure as Code
Secrets Management
Vulnerability Management
LLM
Agent-powered Systems
Production Engineering
Automation
System Architecture
Performance Tuning
Incident Response
Scalability
Software Engineering

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