Flexible Work Workplace Start your weekend earlier during the summer months!

Paid Vacation Days

Off (in addition to Personal Days) An IDEAS (Inclusion, Diversity, Equity, Awareness, Solidarity) team ⚖️ spoiler alert… we are the home of The Weather Network ) The Infrastructure Engineer - Meteorological Development role combines infrastructure engineering, platform reliability, and software development to deliver highly available, scalable, and high-performance systems to support 4 billion global locations with high quality data. Working in a modern cloud-native environment, you will design and operate distributed systems on Kubernetes (AWS EKS & GCP GKE) with Istio service mesh and AWS ECS using Docker containers, infrastructure as code (Terraform & Terragrunt), and GitOps/CI/CD pipelines (on Jenkins). You will work across AWS and/or GCP services, manage application delivery with Helm, and support stateful and caching layers such as Redis (AWS Elasticache).

You will ensure system reliability through Linux-based operations and observability tooling including Prometheus, Grafana, Kibana, ElasticSearch,Jaeger and Kiali. Working closely with technical leads, developers, operations teams, and infrastructure administrators, this role helps modernize and standardize infrastructure through automation, observability, and cloud/platform engineering best practices.

The Infrastructure

Engineer plays a key role in ensuring platform stability, scalability, security, and operational excellence across critical meteorological systems and data pipelines. Provide support to Pelmorex’s meteorological infrastructure and platforms that powers The Weather Network, MeteoMedia, ElTiempo.Please note this is a contract role until February 2027 and w e are only considering candidates who are eligible to work in Canada and can work in a Hybrid model at our Oakville, ON, Canada location. Design and implementation of Meteorological infrastructure core services that are currently running under Kubernetes (AWS EKS) with Istio Service mesh, EC2 instances, ECS Clusters and deployed under Jenkins CI/CD pipeline via Helm, SSM and bash deployment scripts.

Core services run with AWS S3, SQS, SNS,



FSx, ECS, EC2, Elasticache and ALB/NLB resources. Improve monitoring system running under Prometheus, Grafana and Kibana. Use AI-assisted development tools and workflows to improve productivity, accelerate delivery, enhance code quality, support troubleshooting, and streamline operational tasks while maintaining quality and accountability.

Provide technical advice and produce effort estimates on the various work required; This includes the development and/or integration of monitoring systems. Work with Technology Operations team to ensure end-to-end data monitoring in software design, from data acquisition to delivery. Use knowledge of databases and database technology to create applications which are distributed, multi-tier, and able to service large volumes of data.

Degree or diploma in Computer Science, Engineering, Mathematics, or equivalent practical experience. Strong knowledge of cloud platforms and infrastructure technologies including AWS, GCP, CloudStack, and Proxmox.

Experience with core networking concepts including TCP/IP, NAT, DNS, load balancing, and firewalls. Strong experience building and supporting production-grade distributed systems in Linux environments.

Experience developing production applications in one or more of the following languages: Go, Python, C/C++, or Rust. Strong scripting and infrastructure automation experience using technologies such as Python, Bash, Terraform, Helm, Terragrunt, Groovy, or JavaScript. Understanding of data structures, algorithms, and performance optimization concepts.

Experience designing and supporting highly available, scalable systems handling large volumes of data.

Experience with relational and NoSQL databases, including caching technologies such as Redis or AWS ElastiCache.





Experience building and consuming REST-based APIs and services.

Experience with monitoring and observability tools such as Prometheus, Grafana, ElasticSearch, Kibana, Jaeger and Kiali. Understanding of cloud cost optimization, including balancing performance, reliability, scalability, and operational efficiency.

Experience with AI/ML infrastructure or platforms is considered an asset. Keen interest in data and data mining, problem solving Experience with spatiotemporal data sets and scientific data formats including netCDF, HDF, GRIB and BUFR would be a plus.

Education or experience in applying ML/AI to augment data analysis Bring curiosity and creative thinking to solving complex technical challenges. Can work independently with minimal supervision while consistently delivering on commitments. Are an engaged, collaborative team player who builds strong relationships and enjoys helping others succeed.

Have a natural curiosity about data: especially understanding source data such as meteorological data, what it means, and how it can create value. Frequent employee pulse surveys we value your feedback so we can continue to make Pelmorex a great place to work! We’re a team that enjoys learning new technologies and we’re open to trying new things With innovation at our core, we provide precision, speed, and unmatched reliability—safeguarding lives, powering decisions, and driving business success.

We welcome candidates using AI tools to prepare for interviews or to learn more about Pelmorex. 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. These tools assist our recruitment team but do not replace human judgment. If you would like more information about how your data is processed, please contact us.

📌 Infrastructure Engineer - Contract - Hybrid (Oakville)
🏢 Pelmorex
📍 Oakville