Posted 6 days ago
Lead Middleware Platform Architect
@ Aarorn Technologies Inc
Montréal, Quebec
Overview
Aarorn Technologies Inc is hiring a Lead Middleware Platform Architect on contract in Montreal, onsite four days a week, at CAD$50/hr including benefits. The role leads design, automation and operationalization of an RDF and data platform for a global financial institution. Interviews are face-to-face onsite only.
Responsibilities:
- Lead RDF and middleware platform architecture and implementation
- Automate provisioning, deployment and monitoring
- Drive observability, logging and operational excellence
- Develop runbooks and disaster recovery procedures
- Mentor engineering teams on platform best practices
Requirements summary:
- 10+ years platform, middleware or infrastructure engineering
- Strong Linux administration
- Kubernetes or OpenShift experience
- Infrastructure as code with Terraform or Ansible
- Python or shell scripting
- Experience in mission-critical production environments
Tools & skills
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- 2026-11-04
- First seen by our source
- 2026-11-10
- Source record updated
- 2026-11-10
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Lead |
| Department | Software development |
| Experience | 10+ years |
| Travel | air: none · ground: none |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Aarorn Technologies Inc
| Field | Value |
|---|---|
| Open jobs on Jobsy | 5 |
Location: Montreal, QC (4x onsite a week)
Employment Type: Contract
Pay Rate: CAD$50/HR INC
Interview Type: Face 2 Face (Onsite Interview Only)
Job Description
We are looking for a Lead Middleware Platform Architect to lead the design, implementation, automation, and operationalization of a next-generation data and RDF platform for a global financial institution.
The ideal candidate will have strong experience building and managing enterprise platforms, driving production readiness, implementing infrastructure automation, and supporting highly regulated environments.
This role will play a critical part in designing and deploying middleware capabilities, enabling observability, resiliency, security, and platform scalability across multiple environments.
Key Responsibilities
Lead platform architecture and implementation activities for RDF and middleware platforms.
Design and implement automation for provisioning, deployment, monitoring, and support.
Partner with infrastructure, security, and development teams to onboard platforms.
Drive observability, logging, monitoring, and operational excellence initiatives.
Develop production runbooks, disaster recovery procedures, and support models.
Support production readiness reviews and go-live activities.
Collaborate with third-party vendors on configuration and optimization activities.
Mentor engineering teams on platform best practices.
Required Skills
10+ years of platform engineering, middleware engineering or infrastructure engineering experience.
Strong Linux administration experience.
Experience with Kubernetes/OpenShift or similar container platforms.
Infrastructure as Code experience using Terraform, Ansible, or equivalent.
Experience with monitoring and observability tools.
Strong scripting skills using Python, Shell, or similar technologies.
Experience supporting mission-critical production environments.
Strong understanding of security and resiliency principles.
Preferred Skills
RDF Triple Store experience.
Graph database technologies.
Financial Services or Banking domain experience.
Cloud platform exposure.
What Success Looks Like
Successfully delivers production-ready platform environments.
Establishes automation-first operational practices.
Implements observability and resiliency standards.
Enables development teams through stable platform services.
Disclaimer: AI tools may assist in the recruitment process; however, all hiring decisions are made by the recruitment team based on a comprehensive evaluation of candidates.
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