Product Feed DevOps Engineer
Build and automate scalable cloud-based infrastructure and data pipelines for high-volume product catalogue and feed syndication platforms. Ensure reliable ingestion and distribution of product data while leveraging AI to improve feed quality.
- On-site
- Canada
- Posted Aug 19, 2026
- 1 position
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Job summary
Position Summary We are seeking a Product Feed DevOps Engineer to build, automate, and support scalable cloud-based infrastructure and data pipelines for high-volume product catalogue and feed syndication platforms. The ideal candidate will have strong experience with GCP and/or Azure, data pipeline automation, CI/CD, cloud-native technologies, and OpenAI integrations. The role will focus on ensuring reliable ingestion, transformation, processing, and distribution of product data across multiple commerce and marketplace channels while leveraging AI to improve product feed quality and automation. Required Skills 8+ years of experience in DevOps, Cloud Engineering, Data Engineering, or Platform Engineering. Strong hands-on experience with GCP and/or Azure. Experience building and managing data pipelines and ETL/ELT workflows. Strong knowledge of CI/CD, Git, Docker, and Kubernetes. Experience with Terraform or Infrastructure as Code. Experience with Python, Bash, or similar scripting languages. Strong understanding of cloud networking, IAM, secrets management, and security. Experience with monitoring and observability tools. Hands-on experience integrating OpenAI APIs/LLMs into applications or data workflows. Experience with Claude Code
What you’ll do
Build and automate scalable cloud-based infrastructure and data pipelines for high-volume product catalogue and feed syndication platforms. Ensure reliable ingestion and distribution of product data while leveraging AI to improve feed quality.
Requirements
Requires over 8 years of experience in DevOps or Data Engineering with strong proficiency in GCP, Azure, and Kubernetes. Candidates must have hands-on experience integrating OpenAI APIs and LLMs into data workflows.
Listed skills
- Microsoft AzurePreferred
- KubernetesPreferred
- CI/CDPreferred
- DockerPreferred
- Google CloudPreferred
- TerraformPreferred
- PythonPreferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- GCP
- Azure
- Data Pipeline Automation
- CI/CD
- Docker
- Kubernetes
- Terraform
- Python
- Bash
- OpenAI API
- LLM Integration
- Claude Code
- Infrastructure as Code
- Cloud Networking
- IAM
- Monitoring and Observability
Job areas
- Technology
- Engineering
- Data & Analytics
- Software
- Retail
Additional details
- Minimum experience
- 10+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available