DevOps Engineer

Globant; Toronto; On-site; CAD 72,000 - 128,000; Full time

Job summary

A leading technology company in Toronto is searching for a DevOps Engineer to design and maintain backend systems for generative AI applications. Responsibilities include managing CI/CD pipelines, optimizing cloud resources, and implementing infrastructure as code. The ideal candidate has experience in backend development, database technologies, and cloud platforms. Competitive salary between $72,000 and $128,000 CAD annually, plus additional benefits.

Benefits

Equity

Benefits

Variable compensation

Responsibilities

• Design, develop, and maintain backend systems for generative AI applications.
• Implement and manage CI/CD pipelines tailored to AI platforms.
• Collaborate with cross-functional teams to integrate backend solutions.
• Monitor system performance and troubleshoot issues.
• Implement infrastructure as code using tools like Terraform.
• Optimize cloud resources and manage configurations.
• Maintain security best practices across backend and DevOps processes.
• Drive automation and process improvements.

Skills

Backend development (Python, Java, Node.js)

Database technologies (SQL, NoSQL)

CI/CD tools (Jenkins, GitHub Actions, Azure DevOps)

Scripting (Python, Bash, PowerShell)

Containerization (Docker)

Orchestration (Kubernetes)

Cloud infrastructure (Azure, AWS)

Infrastructure as code (Terraform, Azure Resource Manager)

Problem-solving skills

Strong communication skills

Job description

About Globant

At Globant, we are reinventing businesses through innovative technology and human-centric solutions. We leverage cutting-edge technologies, including AI, Cloud, Data, and Digital Platforms, to help our clients thrive in rapidly evolving markets. As part of our continued growth, we are seeking an experienced DevOps Engineer.

Position Summary

• Work in a fast growing and exciting organization with professionals who are eminent in their respective field

  • Have challenging and interesting work in a team environment
  • Continue your development throughout your career to reinforce and expand your chosen career path

Role Specific Responsibilities

• Design, develop, and maintain backend systems for generative AI applications, optimizing data storage, retrieval, and processing for peak performance.
• Implement and manage CI/CD pipelines tailored to AI platforms (e.g., Microsoft CoPilot Studio), enabling rapid and reliable deployment of backend services.
• Collaborate with cross-functional teams to integrate backend solutions with frontend components and streamline development and deployment workflows.
• Monitor system performance, troubleshoot issues, and ensure high availability and reliability of backend infrastructure and AI services.
• Implement infrastructure as code using tools like Terraform or Azure Resource Manager to create scalable, efficient, and secure environments.
• Optimize cloud resources and manage configurations to support dynamic business needs, leveraging platforms such as Azure and AWS.
• Maintain and enforce security best practices and compliance standards across backend and DevOps processes.
• Drive automation and process improvements to boost productivity and reduce manual tasks.
• Contribute to the continuous improvement of development and deployment processes, tools, and best practices.

Enough about us, let’s talk about you

• Proven experience in backend development (Python, Java, Node.js) for AI applications.
• Strong proficiency with database technologies (SQL, NoSQL, data warehousing).
• Hands-on experience with CI/CD tools (Jenkins, GitHub Actions, Azure DevOps).
• Scripting skills (Python, Bash, PowerShell).
• Familiarity with containerization (Docker) and orchestration (Kubernetes).
• Experience with cloud infrastructure and services (Azure, AWS).
• Infrastructure as code expertise (Terraform, Azure Resource Manager).
• Excellent problem-solving skills and a proactive approach to learning new technologies.
• Strong communication skills for effective collaboration.

The base salary range for this position in Canada is $72,000 - $128,000 per year + variable/incentive compensation + equity + benefits. A candidate's salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location.

We are interested in hard-working, fast-learning talents and we have the know-how and scale to help you make your own career path. If you seek an entrepreneurial, flexible and team-oriented culture, come join us.

We are ready!