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Data Warehouse System Engineer
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ON · Ontario, Canada
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Site Reliability Engineer- EDI
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ON · Ontario, Canada
- $70,000 to $110,000 CAD / year
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Global IT Support Engineer
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Senior Electrical Engineer
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- $120,000 to $145,000 CAD / year
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Technical Expert, Structures & Systems Design Integration (Contract)
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Technical Sales Intern- Mississauga
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Operations Technologist
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Tillsonburg, ON
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Added 30 mins ago
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Pelmorex

Software Engineer, AI - 12 month Contract

Oakville, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Dec 2, 2026
Posting language: English
Posted: Nov 2, 2026

Original job description

ARE YOU INTERESTED IN A WORKPLACE THAT HAS...

Flexible Hybrid Work Environment 💻

Retirement Savings Matching Plan (RRSP). Plan for your future with us! 💸

Personal Spending Account 💰

Up to $500 to spend on anything related to physical, mental or financial well-being (in addition to your Health Care Spending Account)

Summer Hours 🌞

Start your weekend earlier during the summer months!

17 Paid Days Off (in addition to 13 Personal Days) 🌅

This includes an extra day off during the month of your birthday 🍰- our gift to you!

An IDEAS (Inclusion, Diversity, Equity, Awareness, Solidarity) team ⚖️

Weather is inclusive, we will be too. Our IDEAS team is committed to making this happen!

📣HAVE WE GOT YOUR ATTENTION? WANT TO LEARN MORE?

Read about us here! (spoiler alert… we are the home of The Weather Network )📍

Proud to share that we ranked #5 Most Admired Company in Canada in Leger’s 2026 Reputation Study, among 334 organizations

WHY WE NEED YOU? GLAD YOU ASKED...

Pelmorex (The Weather Network / MétéoMédia) reaches millions of Canadians every day and operates one of the country's most trusted information services, including the Alert Ready emergency alerting system. Our newly formed AI & Data Solutions team exists to turn that scale, data, and trust into a competitive advantage across three fronts: empowering our workforce with AI, building custom AI solutions for the business, and monetizing our data. This is an early, ground-floor role on a small, high-leverage team. You'll have an unusually direct line of sight from the code you write to the business outcomes it drives, and the latitude to shape how AI gets built and shipped across the company.

Be part of the team that takes working prototypes to production quality. We are building active AI tools powering key workflows for both internal partners and external customers requiring robust, production-grade systems complete with resilient infrastructure, automated guardrails, enterprise fallbacks, and end-user support. You will own the end-to-end production path for approved products, shipping high-impact services one launch at a time by swapping demo shortcuts for reliable engineering standards that can scale.

This is a software development and infrastructure role that leverages multi-modal LLM APIs (text, image, and video). We expect you to leverage AI natively to architect, test, and ship modern production systems - identifying bottlenecks, setting higher benchmarks, and continuously raising the bar.

Please note, that is is a 12 month contract role and we are only considering candidates who are eligible to work in Canada and can work in a Hybrid model at our Oakville location.

WHAT'S THE DAY TO DAY LIKE?

Transition proof-of-concept prototypes to production-grade systems, managing auth, data persistence, CI/CD pipelines, infrastructure, test suites, and operational runbooks
Design, build, and maintain scalable backend services and RESTful APIs
Architect systems for high availability, reusability, and fault tolerance using retries, circuit breakers, timeouts, and automated fallback mechanisms
Establish strict guardrails to enforce response accuracy, catalog constraints, cost ceilings, and compliance with brand guidelines
Implement end-to-end LLM telemetry and observability (e.g., Langfuse) to track prompts, token usage, latency, spend, and user sessions
Develop multi-tier caching strategies across responses, embeddings, and media to minimize latency and redundant API expenditure
Integrate multimodal generative AI workflows into production pipelines, managing queues, rate limits, and graceful degradation paths
Deploy and optimize cloud infrastructure (AWS/GCP), overseeing secret management, storage, compute resources, and cost management
Drive code quality and reliability through automated unit and integration testing delivered via continuous integration pipelines
Maintain system health and production uptime through comprehensive logging, metrics, tracing, and on-call rotation support
Author and maintain operational documentation for deployment, incident recovery, and infrastructure spend
Leverage AI developer tools to accelerate delivery while maintaining rigorous engineering, review, and testing standards
Own feature lifecycles end-to-end, from initial release to ongoing post-launch production support

Roles, responsibilities and duties may evolve and change over time.

WE ARE HOPING YOU HAVE:

5+ years of demonstrated hands-on track record architecting, running, and maintaining production backend microservices and RESTful APIs
Proven experience hardening quick experimental prototypes into production-grade, highly available systems with robust authentication, storage, and reliability standards
End-to-end technical ownership over software quality, test coverage, and architecture, leveraging AI developer tools to accelerate output without sacrificing engineering rigour
Deep expertise deploying and managing cloud infrastructure on AWS or GCP, including identity management, compute, storage resources, and cost control
Production infrastructure fluency using Docker, CI/CD automated deployment pipelines, environment isolation, networking, and zero-downtime rollback strategies
Commitment to operational excellence and system uptime through strict performance thresholds, automated graceful degradation paths, and resilience design
Experience establishing operational guardrails, response validation schemas, rate limits, retries, multi-tier caching, and fallback mechanisms for external services
Direct experience integrating LLM model inference into live pipelines across text, image, or video multimodal workflows
Track record implementing comprehensive LLM telemetry (e.g., Langfuse) to track prompt metrics, token consumption, latency, and operational spend
Skill in architecting multi-tier caching architectures across memory and disk tiers to minimize API costs and drive down service latency
Readiness to participate in on-call rotation support and drive fast incident recovery for production systems
Hands-on mastery across core technical components of our engineering stack:
- High adaptability and agility when mastering new frameworks, technologies, and modern developer tooling
- Strong proficiency in Python or Node.js backend development (Go experience welcomed)
- Experience with relational databases (Postgres), vector search indexes, and caching systems (Redis)
- Building scalable API services using modern web frameworks like FastAPI
- Containerized deployments with Docker and orchestration platforms like Kubernetes
- Cloud platform operations across major ecosystems including AWS and GCP
- Delivering continuous integration and delivery pipelines via automated build tooling
- Driving software reliability through continuous automated unit, integration, and end-to-end testing
- Sufficient frontend expertise (React, JavaScript) to author and maintain internal tooling dashboards
- Solid comprehension of the generative AI application development lifecycle
- Familiarity serving open-source ML models via engines like vLLM or llama.cpp
Bachelor's degree in Computer Science, Software Engineering, or equivalent practical industry background

BUT WHAT MAKES YOU REALLY STAND OUT IS...

Demonstrated passion for hardening production-grade services serving active end users beyond initial experimental prototypes
Rigorous commitment to test coverage prior to deployment, with proven experience executing zero-downtime, stress-free rollback strategies if necessary
Ability to demonstrate full technical ownership moving local proofs-of-concept into live RESTful APIs with auth, multi-tier caching, telemetry, fallbacks, and runbooks
Proven capability optimizing multimodal text and video generative workflows to satisfy strict cost ceilings and latency thresholds via queues, caching, and timeouts
Exceptional cross-functional communication skills, fostering seamless collaboration across engineering and product stakeholders
Pragmatic, hands-on orientation combined with an uncompromising commitment to engineering standards and complete code ownership
High energy, collaborative spirit, and a relentless focus on shipping impactful business results

DON’T MEET ALL THE REQUIREMENTS? DON’T WORRY…
Not all applicants will have skills that match a job description exactly. Pelmorex values and welcomes diverse experiences. While having “desired” qualifications makes for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Pelmorex. We are always looking for people who will be a culture add (yup, that's right, we don’t subscribe to culture fit, we want you to add to what we think is an amazing culture and work environment

INTERESTED? IT GETS BETTER….

Course Reimbursement Program 📚 We want you to keep learning, so we can too
Open and transparent communication, including All Hands Meetings with our CEO
Pelmorex Learning Academy 🏫
Your mental health is important to us! 🧠 We partner with our benefits provider for virtual counseling sessions
Frequent employee pulse surveys 📝 we value your feedback so we can continue to make Pelmorex a great place to work!
Free online doctor visits 👩‍⚕️ with Maple Online Healthcare
While we encourage 1:1 conversations, we recognize that not everyone is comfortable with speaking up 🗣 We have an anonymous reporting platform to ensure everyone’s voice is heard

OUR PROMISE TO YOU...

We’re highly focused on doing the right thing.

We’ll discuss issues and timelines professionally, so you have the time you need to do the best work you can

You will see the result of your work pushed out to real users quickly

We’re a team that enjoys learning new technologies and we’re open to trying new things

We’ll try our best not to bog you down with boring meetings

Weather inspires, protects, and transforms. For 35+ years, Pelmorex has led the way with trusted forecasts and alerts. With innovation at our core, we provide precision, speed, and unmatched reliability - safeguarding lives, powering decisions, and driving business success. Whatever the weather, we turn its potential into action. We’re Pelmorex. Imagine it and we’ll deliver it.

Fair and Authentic Interview Experience

We welcome candidates using AI tools to prepare for interviews or to learn more about Pelmorex. During the interviews themselves, we expect responses to come from your own experience and thinking.

We ask that candidates not use real-time AI assistance, live answer prompts, or automated response tools during interviews. This helps ensure a fair process for everyone and allows us to evaluate how you approach problems and communicate in your own voice.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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More about this job

Responsibilities

Turn AI prototypes into production-grade services by building and maintaining scalable backend systems, REST APIs, cloud infrastructure, CI/CD pipelines, and multimodal AI workflows. Establish reliability, security, cost, and quality controls, monitor production systems, support incident recovery, and own features through launch and ongoing support.

Requirements

Candidates should have 5+ years of hands-on experience building and operating production backend microservices and REST APIs, with strong proficiency in Python or Node.js and cloud platforms such as AWS or GCP. They should also have experience with Docker, CI/CD, automated testing, databases and caching, production LLM integrations and telemetry, and operational reliability; a bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience is specified.

Skills

Python
Node.js
Backend Development
RESTful APIs
Cloud Infrastructure
AWS
GCP
Docker
Kubernetes
CI/CD
PostgreSQL
Redis
Vector Search
Multimodal Generative AI
LLM Telemetry and Observability
Automated Testing

Benefits

Flexible Hybrid Work Environment
Retirement Savings Matching Plan (RRSP)
Personal Spending Account
Health Care Spending Account
Summer Hours
Paid Days Off
Personal Days
Birthday Day Off
Course Reimbursement Program
Learning Academy
Virtual Counseling Sessions
Free Online Doctor Visits

Visa sponsorship

Not detected in the job text

Keywords

Python
Node.js
Go
FastAPI
React
JavaScript
RESTful APIs
Backend Microservices
AWS
GCP
Docker
Kubernetes
CI/CD
PostgreSQL
Redis
Vector Search Indexes
Multimodal LLM APIs
Generative AI
Text, Image, and Video Workflows
Langfuse
LLM Telemetry
Observability
Caching
Authentication
Automated Testing
High Availability
Fault Tolerance
Rate Limiting
Retries and Circuit Breakers
vLLM

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