Date Posted: 06/11/2026
Req ID: 48545
Faculty/Division: Faculty of Arts & Science
Department: Dept of Computer Science
Campus: St. George (Downtown Toronto)
Position Number: 59314, 59315
Existing Vacancy: Yes

Description:

Your opportunity:

The Matter Lab, led by Professor Alán Aspuru-Guzik and Professor Varinia Bernales at the University of Toronto, is preparing to launch El Agente - an LLM-powered multi-agent system that makes science accessible through natural language. El Agente enables researchers, students, and industry partners to run tasks such as complex quantum chemistry workflows, and drug development by simply describing what they need in plain English, removing the steep technical barriers that have historically limited access to these powerful tools.

We are hiring a Full Stack Software Engineer to develop a cloud infrastructure for El Agente's public platform (www.elagente.ca). This is a platform engineering role: you will be responsible for making El Agente reliably available to users worldwide. You will work alongside computational chemists, ML researchers, and HPC specialists in one of the world's leading scientific AI labs.

Note: we are recruiting for two (2) vacancies. These are one-year term opportunities with possibility for renewal.

Your responsibilities will include:

• Architect, deploy, and operate the cloud infrastructure that serves El Agente to users at scale, including multi-tenant access, secure compute provisioning, and auto-scaling
• Design and manage the interface between the cloud platform and HPC job scheduling systems (SLURM, PBS) that run quantum chemistry computations
• Build and maintain containerized deployment pipelines (Docker, Kubernetes) for reproducible, version-controlled environments
• Implement monitoring, logging, alerting, and incident response processes to ensure platform reliability
• Develop and maintain the web-facing application layer - user authentication, tiered access control, usage metering, and data management
• Build and operate data pipelines for computational results, including secure storage, retrieval, and IP protection for registered users
• Manage CI/CD pipelines and infrastructure-as-code for consistent, repeatable deployments
• Collaborate with researchers to integrate new agent capabilities and chemistry tools into the production environment as they are developed

Essential Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent combination of education and experience
• Minimum five (5) years' experience in cloud infrastructure, platform engineering, or DevOps/SRE roles
• Strong proficiency in Python and Linux systems administration
• Hands-on experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code (Terraform, CloudFormation)
• Working knowledge of containerization (Docker) and orchestration (Kubernetes)
• Experience with CI/CD pipelines and production monitoring/observability tools
• Familiarity with building or maintaining web applications (React, Vue.js, or similar)
• Strong problem-solving skills and ability to work in a fast-paced, research-driven environment
• Excellent communication skills, with ability to collaborate across disciplines

Assets (Nonessential):

• Experience with HPC environments and job scheduling systems (SLURM, PBS)
• Familiarity with computational chemistry software or scientific computing workflows
• Experience with LLM-based application deployment and serving infrastructure
• Knowledge of database systems (PostgreSQL, MongoDB, Redis) and scalable data architectures
• Experience with security best practices for multi-tenant SaaS platforms
• Familiarity with workflow management tools
• Track record of contributing to open-source projects
• Prior experience in multidisciplinary academic/industry teams

To be successful in this role you will be:

• Achievement oriented
• Cooperative
• Meticulous
• Resourceful

This role may be eligible for an Alternative Work Arrangement in accordance with the University of Toronto's Alternative Work Arrangements Guideline.

For internal staff, a copy of the detailed job description is available upon request from the Faculty of Arts and Science HR Office by emailing: [redacted].

Closing Date: 06/22/2026, 11:59PM ET
Employee Group: USW
Appointment Type: Grant - Term
Schedule: Full-Time
Pay Scale Group & Hiring Zone:
USW Pay Band 16 -- $103,367. with an annual step progression to a maximum of $132,188. Pay scale and job class assignment is subject to determination pursuant to the Job Evaluation/Pay Equity Maintenance Protocol.
Job Category: Information Technology (IT)

A job description is available upon request