Cloud Tech Lead

Aarorn Technologies Inc; Toronto; Hybrid; CAD 68,880 - 89,544; Full time

Job summary

A tech company in Canada is seeking a Cloud Technology Lead to drive the design, development, and implementation of a Pricing Module within its cloud architecture. This role demands strong expertise in cloud platforms and the ability to mentor cross-functional teams. Candidates should have experience in microservices, API development, and CI/CD practices. This position is contract-based, offering competitive pay of CAD$50 - $65/HR and requires on-site presence in Toronto 3 times a week.

Qualifications

• Strong experience in cloud platforms (Azure, AWS, GCP).
• Proficiency in microservices architecture, API development, and containerization.
• Hands-on experience with CI/CD tools and Infrastructure as Code.

Responsibilities

• Lead the architecture and development of the Pricing Module on cloud platforms.
• Design microservices and APIs for pricing logic integration.
• Work closely with teams to translate requirements into technical solutions.

Skills

Cloud platforms (Azure, AWS, GCP)

Microservices architecture

API development

Containerization (Docker, Kubernetes)

CI/CD tools

DevOps practices

Infrastructure as Code (Terraform, CloudFormation)

Leadership

Communication skills

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Job description

Job Title: Cloud Technology Lead

Location: Toronto, ON (3x onsite a week)

Employment Type: Contract

Pay Rate: CAD$50 - $65/HR INCLUDING INSTRUCTIONS

Job Description

We are seeking an experienced Cloud Technology Lead to drive the design, development, and implementation of the Pricing Module within our cloud-based architecture. This role requires strong technical leadership, deep expertise in cloud platforms, and the ability to collaborate with cross‑functional teams to deliver scalable, secure, and high‑performing solutions.

Key Responsibilities

• Technical Leadership:
  • Lead the architecture and development of the Pricing Module on cloud platforms (Azure, AWS, GCP).
  • Define best practices for cloud‑native design, deployment, and optimization.
• Solution Design & Development:
  • Design microservices and APIs for pricing logic and integration with other modules.
  • Ensure high availability, scalability, and performance of the pricing engine.
• Collaboration & Stakeholder Management:
  • Work closely with product managers, business analysts, and engineering teams to translate business requirements into technical solutions.
  • Mentor and guide developers on cloud technologies and coding standards.
• Security & Compliance:
  • Implement robust security measures and ensure compliance with industry standards.
• Continuous Improvement:
  • Drive automation, CI/CD pipelines, and monitoring for cloud deployments.
  • Stay updated with emerging cloud technologies and recommend improvements.

Required Skills & Qualifications

• Technical Expertise:
  • Strong experience in cloud platforms (Azure, AWS, GCP).
  • Proficiency in microservices architecture, API development, and containerization (Docker, Kubernetes).
  • Hands‑on experience with CI/CD tools, DevOps practices, and Infrastructure as Code (Terraform, CloudFormation).
• Domain Knowledge:
  • Understanding of pricing models, financial calculations, and integration with ERP/CRM systems is a plus.
• Leadership & Communication:
  • Proven ability to lead technical teams and manage complex projects.
  • Excellent communication and stakeholder management skills.
• Education:
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Preferred Qualifications

• Experience with serverless architectures and event‑driven systems.
• Knowledge of data analytics and pricing optimization algorithms.
• Certifications in cloud technologies (AWS Certified Solutions Architect, Azure Solutions Architect, etc.).

Disclaimer

As part of our hiring process, we may use automated or AI‑based tools to support candidate screening and application review. These tools are used to assist decision‑making and do not replace human judgment.