Senior DevOps Engineer chez Accommodations Plus International
Accommodations Plus International · Markham, Canada · Onsite
- Senior
- Bureau à Markham
Senior DevOps Engineer / Senior Cloud Infrastructure Engineer (AWS / Linux)
Location: Markham, Canada
Employment Type: Full-Time
About the Role
We’re seeking a hands-on Senior DevOps Engineer to manage and improve our AWS infrastructure and deployment processes. You’ll work in a small, production-critical environment (20–30 servers), collaborating with the development team while also owning key operational responsibilities.
This role offers autonomy to improve and automate deployment pipelines and influence how we scale and manage our infrastructure. While not on-call, you will be expected to respond to production incidents when they occur.
Key Responsibilities
Manage AWS resources — EC2, S3, ECS, Load Balancers, and Cognito.
Administer Linux servers — patching, tuning, and troubleshooting.
Oversee deployments — Java (TomEE), Node.js applications, and legacy components.
Work with databases — Oracle DB, AWS Aurora, Postgres, MySQL, MS SQL Server.
Implement and maintain infrastructure as code — using Terraform and Ansible.
Improve CI/CD pipelines — automate and streamline deployments.
Monitor and optimize system performance using AWS CloudWatch and Datadog.
Collaborate with development teams to resolve production issues and ensure consistent environments.
Required Skills & Experience
5+ years managing production environments.
Deep understanding of AWS, particularly EC2, ECS, S3, LBs, Lambda, IAM, and Cognito.
Strong Linux administration skills.
Experience deploying and maintaining Java (TomEE) and Node.js applications.
Experience with Oracle DB, AWS Aurora, Postgres, MySQL, MS SQL Server.
Proficiency with Terraform and Ansible.
Familiarity with CI/CD tools (Jenkins, AWS CodePipeline).
Strong scripting skills (Bash, Python, or similar).
Ability to work independently and take ownership of infrastructure and pipelines.
Highly Preferred
Hands-on experience with monitoring and alerting using AWS CloudWatch and Datadog.
Experience with Docker or containerized deployments.
Deep understanding of AWS IAM and security best practices.
Exposure to cost optimization and performance tuning in AWS.
