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Posted 1w ago

Cloud Full Stack MLOps Engineer

@ Ontario Brain Institute
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Toronto, Ontario, Canada
$92k-$119k/yrOnsiteFull Time
Responsibilities:design cloud, deploy models, monitor pipelines
Requirements Summary:Bachelor’s degree or equivalent; 5+ years software engineering; web apps; Python/React/Vue.js; cloud MLOps; ETL pipelines; Azure; Agile; CI/CD; security.
Technical Tools Mentioned:Python, React, Vue.js, Azure, GitHub, CI/CD, Docker, ETL/ELT
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Job Description

Make a difference in brain research and innovation in Ontario  

 

Ontario Brain Institute (OBI) is a provincially funded, not-for-profit research organization driving discovery and innovation to improve brain health. Through collaborative research, data sharing, commercialization, and community engagement, OBI accelerates the translation of knowledge into real-world impact.  

 

OBI is passionate about the outcomes of its work, the people and organizations with whom it partners, and the opportunity to play a role in shaping the future. Its members are united in the common goal to improve brain health. The culture is inclusive, supportive and rewarding.  

 

To learn more about our organization and achievements to date visit our website. 

 

Cloud Full Stack MLOps Engineer (1 vacancy) 


OBI is seeking a Cloud Full Stack MLOps Engineer to design, develop, deploy, and support cloud-based web applications and machine learning operations (MLOps) capabilities that enable Centre for Analytics (CfA) products and services. Reporting to the Head, Centre for Analytics, this role partners with cross-functional stakeholders to deliver secure, scalable solutions, automate data/model pipelines, and maintain production readiness through documentation, monitoring, and operational support.


Role and Responsibilities

  • Design, develop, enhance, and maintain CfA cloud-based web applications software and supporting services.
  • Support the productization of CfA applications and services for third-party use, including deployment and operational readiness.
  • Implement and support MLOps capabilities, including data pipelines, model packaging, deployment, monitoring, and versioning.
  • Support federated learning (FL) data and model deployment workflows and associated web applications, as applicable.
  • Provide timely technical support to application users; triage issues, resolve incidents, and coordinate fixes with the development team.
  • Develop and maintain technical documentation, including architecture, runbooks, and user guidance.
  • Participate in application security audits, access reviews, and incident-response drills; implement remediation actions as needed.
  • Work closely with other cloud team members to ensure secure and robust cloud resources are configured and and managed with high standards.


Qualifications

  • Bachelor’s degree in computer science, software engineering, data science, or a related field, or an equivalent combination of education and experience.
  • 5+ years of professional experience in software engineering, including delivery of production web applications and services.
  • Demonstrated experience developing modern web applications (Python; React and/or Vue.js preferred).
  • Proficiency with front-end user interface development and back-end services, including database integration.
  • Hands-on experience deploying and operating ML models in production, including versioning and containerization.
  • Experience developing data ingestion and processing pipelines (ETL/ELT), including custom data loaders.
  • Experience working in cloud environments with CPU/GPU and distributed/grid computing (Microsoft Azure preferred).
  • Experience delivering software in an Agile/Scrum environment, with strong collaboration and communication skills.
  • Demonstrated experience supporting cloud MLOps deployments and operations for model lifecycle management (e.g., CI/CD for ML, model registries, experiment tracking, and monitoring).
  • Experience applying engineering best practices, including source control, code review, automated testing, and CI/CD (GitHub experience preferred).
  • Experience with Azure services (e.g., compute, storage, networking, identity) and deploying production workloads to Azure.
  • Familiarity with security, privacy, and compliance practices for cloud applications (e.g., secure SDLC, threat modeling, vulnerability management).
  • Experience supporting regulated or research environments requiring auditability and traceability.


We are a diverse, highly energized, passionate, collaborative, professional and committed team. We offer an exciting workplace and many opportunities for learning and collaboration. Interested and qualified candidates are invited to submit a resume and cover letter no later than May 10, 2026. 

 

We thank all applicants for their interest; however, only those selected for an interview will be contacted. OBI is proud to be an equal opportunity employer. 

 

Ontario Brain Institute is committed to providing accommodations for applicants at any stage of the recruitment and hiring process in accordance with Ontario Brain Institute policy, the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code. Should you require accommodation, please notify us and we will work with you to provide appropriate accommodations. 

 

The Ontario Brain Institute is an independent, not-for-profit corporation funded in part by the Government of Ontario.