This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI-First DevOps Engineer based in Canada. This role is designed for a DevOps professional who wants to shape the future of cloud infrastructure through automation, AI adoption, and modern engineering practices. You will take ownership of designing and optimizing secure, scalable AWS environments that support critical SaaS platforms. The position combines hands-on technical execution with strategic influence across engineering teams. You will drive infrastructure automation, CI/CD improvements, and operational excellence while integrating AI-powered solutions into daily workflows. Working in a remote and collaborative environment, you will help improve delivery speed, reliability, and engineering efficiency. This is an opportunity to make a meaningful impact by building systems that support innovative technology solutions used by organizations across North America. \n

Accountabilities

As an AI-First DevOps Engineer, you will own the evolution of cloud infrastructure, deployment practices, and operational processes while helping teams adopt AI-driven engineering workflows. You will collaborate closely with engineering and architecture teams to ensure reliable, secure, and scalable technology delivery. Lead the design, deployment, and automation of AWS cloud infrastructure. Build and maintain secure, reusable, and scalable infrastructure using Terraform and infrastructure-as-code best practices. Design, improve, and maintain CI/CD pipelines that enable efficient and reliable software delivery. Support production SaaS environments with a strong focus on availability, scalability, security, and maintainability. Establish best practices for monitoring, logging, alerting, access management, and operational readiness. Partner with engineering teams to align infrastructure solutions with broader platform and product goals. Identify opportunities to apply AI tools, agents, and MCP server integrations to improve DevOps workflows and reduce manual effort. Design AI-enabled automation workflows that accelerate engineering delivery and improve operational quality. Support troubleshooting, incident resolution, and continuous improvement initiatives. Communicate technical recommendations clearly with both technical and non-technical stakeholders. Promote accountability, quality standards, and delivery excellence across remote engineering teams.

Requirements

The ideal candidate is a technically strong DevOps professional with experience building cloud platforms, automating delivery processes, and improving engineering efficiency through modern technologies. You should be comfortable working independently while collaborating across distributed teams. Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent professional experience. 5+ years of experience in DevOps, Cloud Engineering, Platform Engineering, Site Reliability Engineering, or similar roles. Strong hands-on experience with AWS cloud services and infrastructure management. Deep knowledge of Terraform and infrastructure-as-code principles. Proven experience designing and managing CI/CD pipelines. Strong understanding of cloud security, secrets management, access control, monitoring, and deployment automation. Experience supporting production systems with a focus on uptime, reliability, and performance. Familiarity with modern application environments, including technologies such as C#/.NET, React, PostgreSQL, and AWS. Experience with observability, monitoring, and operational tooling. Knowledge of AI-driven engineering workflows, AI agents, or MCP server integrations is highly desirable. Strong technical judgment, problem-solving ability, and ownership mindset. Excellent written and verbal communication skills. Ability to thrive in a remote environment with strong organization, prioritization, and follow-through. Passion for technology, automation, innovation, and continuous improvement.

Benefits

Competitive base salary range of $155,000–$165,000 CAD depending on experience and qualifications. Fully remote work opportunity within Canada. Opportunity to work on innovative cloud, AI, and automation initiatives. Collaborative environment focused on learning, ownership, and professional growth. Exposure to modern technologies and large-scale SaaS platforms. Opportunity to contribute to solutions that create meaningful operational impact for organizations across North America. Supportive culture that values accountability, innovation, and continuous improvement. Career development opportunities within a growing technology organization.

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