Senior DevOps & Cloud Automation Engineer

Senior DevOps & Cloud Automation Engineer

• Location: Toronto, ON (Hybrid) or Calgary, AB (Onsite)

Duration: 6 Months Contract with high possibility of extension

Experience Required: 6+ years

Digital: Cloud DevOps

HiTech: Automation Testing

Digital: AWS Cloud Computing

Job Description

We are seeking an experienced Senior Cloud Engineer / DevOps Engineer with deep expertise in AWS cloud services and cloud infrastructure automation. The ideal candidate has strong hands‑on experience with AWS CDK (TypeScript), container orchestration, CI/CD tooling, networking, security best practices, and automation frameworks. This role is critical for designing, building, and optimizing scalable, secure, and high‑performance cloud environments.

Role Responsibilities

• Cloud Engineering & Architecture
• Design, implement, and optimize cloud architectures on AWS using best practices for reliability, scalability, and security.
• Work extensively across AWS services including:
• VPC, EC2, ECS/EKS, Lambda, S3, CloudWatch, IAM, RDS, DynamoDB.
• Apply strong understanding of networking, cloud security, access control, and architectural patterns.
• Infrastructure as Code (IaC) & Automation
• Develop and maintain cloud infrastructure using AWS CDK (TypeScript).
• Implement IaC pipelines for repeatable, secure, and automated provisioning.
• Drive automation initiatives across monitoring, performance tuning, and operational workflows.
• DevOps & CI/CD
• Build and maintain CI/CD pipelines using tools such as:
• GitHub Actions
• AWS CodePipeline
• Jenkins
• Support container-based deployments with ECS/EKS, Docker, and microservices patterns.

Observability & Performance Optimization

• Enhance observability through monitoring dashboards, alerts, log analysis, and system metrics.
• Optimize cloud workloads for cost, performance, and reliability.

Infrastructure Automation & DevOps

• Hands on experience with PowerShell/Bash/Python, ARM/Bicep/Terraform, CI/CD pipelines (Azure DevOps/GitLab).

GenAI / LLM Integration & Cloud based AI Workloads

• Experience building/shipping GenAI solutions, using Azure ML / AWS GPU workloads, Python (FastAPI, PyTorch).

Essential Skills

• 10 years of experience in cloud engineering, DevOps, or backend development.
• Strong hands-on expertise across core AWS services:
• VPC, EC2, ECS/EKS, Lambda, S3, CloudWatch, IAM, RDS, DynamoDB.
• Deep experience with AWS CDK (TypeScript) for infrastructure-as-code.
• Proficiency with CI/CD tools: GitHub Actions, CodePipeline, Jenkins.
• Strong understanding of networking concepts, cloud security principles, and AWS architectural best practices.
• Experience with automation, observability tools, and performance optimization.

Desirable Skills

• Exposure to cloud-based automation testing practices.
• Experience with data modeling or cloud-native application patterns is a plus.