Canada
TSMC
Mila - Institut québécois d'intelligence artificielle
Staff Platform Specialist, Sovereign AI Lab
Canada
Montreal, Quebec, Canada
PythonDockerKubernetes
Automatic translation. Check the original.
About Mila
Founded by Professor Yoshua Bengio of the Université de Montréal, Mila brings together researchers specializing in artificial intelligence, and more specifically in machine learning, deep learning and reinforcement learning. Recognized worldwide for its important contributions to the field of deep learning, Mila has particularly distinguished itself in language modeling, machine translation, object recognition and generative models. Since 2017, Mila has been the fruit of a collaboration between Université de Montréal and McGill University, with close links to Polytechnique Montréal and HEC Montréal.
Mila's mission is to be a global hub of scientific advances that inspires innovation and the rise of artificial intelligence (AI) for the benefit of all.
To find out more, please visit mila.quebec/
Founded by Professor Yoshua Bengio of the Université de Montréal, Mila brings together researchers specializing in artificial intelligence, and more specifically in machine learning, deep learning and reinforcement learning. Recognized worldwide for its important contributions to the field of deep learning, Mila has particularly distinguished itself in language modeling, machine translation, object recognition and generative models. Since 2017, Mila has been the fruit of a collaboration between Université de Montréal and McGill University, with close links to Polytechnique Montréal and HEC Montréal.
Mila's mission is to be a global hub of scientific advances that inspires innovation and the rise of artificial intelligence (AI) for the benefit of all.
To find out more, please visit mila.quebec/
Position Summary: Staff Platform Specialist, Sovereign AI Lab
The Sovereign AI Lab is a new Mila initiative to assemble an enterprise-ready, open-source AI inference stack that organizations can deploy and operate on infrastructure they control. It brings together functionalities such as model serving, retrieval, agent orchestration, observability, and a control plane to operate these components as one coherent product.
Position Summary: Staff Platform Specialist, Sovereign AI Lab
The Sovereign AI Lab is a new Mila initiative to assemble an enterprise-ready, open-source AI inference stack that organizations can deploy and operate on infrastructure they control. It brings together functionalities such as model serving, retrieval, agent orchestration, observability, and a control plane to operate these components as one coherent product.
We want to know you
At Mila, diversity is important to us. We value a work environment that is fair, open and respectful of differences. We encourage anyone who wants to work in an ecosystem that is constantly evolving and stimulated to contribute to the application and definition of a healthy and inclusive culture, to apply.
Nous voulons vous connaître
À Mila, la diversité nous tient à cœur. Nous valorisons un environnement de travail équitable, ouvert et respectueux des différences. Nous encourageons toute personne souhaitant œuvrer dans un écosystème en progression continue et stimulée à contribuer à l’application et la définition d’une culture saine et inclusive, à postuler.
Main Responsibilities
Reporting to the Senior Director of Engineering, you will build and maintain deployment packages and automation for the stack. The packages and automation let partners deploy, upgrade, and roll back the stack on their own infrastructure, from a single node to production Kubernetes clusters. You will work with the integration team to package their components and deploy them to reference environments through shared workflows. You will recommend platform technologies based on reproducible tests, operational requirements, and architecture fit. This role does not include on-call duty.
Success means partners can deploy, upgrade, roll back, and operate the stack independently in supported environments, using verified automation and runbooks.
- Build and maintain infrastructure-as-code for supported environments. Document hardware and infrastructure requirements.
- Evaluate open-source platform technologies through reproducible tests and benchmarks. Record methods, results, limitations, and maintenance risks. Recommend options.
- Build and maintain versioned deployment packages and shared workflows with the integration team. Automate installation, configuration, upgrades, rollback, backup, and restore.
- Build and run CI infrastructure and reproducible reference environments. Automate release tests across supported environments and record results.
- Build and test platform security controls and secure defaults. Test security updates before including them in releases. Provide tested playbooks for partners to connect their identity and access systems.
- Connect infrastructure telemetry to the stack's observability services. Package platform dashboards and alerts.
- Test platform reliability, performance, capacity, and resource use against agreed targets. Use results to improve deployment configuration, packages, and automation.
- Reproduce partner-reported deployment failures in reference environments. Release fixes to deployment packages and automation.
- Maintain and verify runbooks, sizing guides, and troubleshooting instructions so partners can deploy and operate the stack independently.
- Lead platform design and implementation. Set engineering standards, review technical work, and mentor engineers.
Reporting to the Senior Director of Engineering, you will build and maintain deployment packages and automation for the stack. The packages and automation let partners deploy, upgrade, and roll back the stack on their own infrastructure, from a single node to production Kubernetes clusters. You will work with the integration team to package their components and deploy them to reference environments through shared workflows. You will recommend platform technologies based on reproducible tests, operational requirements, and architecture fit. This role does not include on-call duty.
Success means partners can deploy, upgrade, roll back, and operate the stack independently in supported environments, using verified automation and runbooks.
- Build and maintain infrastructure-as-code for supported environments. Document hardware and infrastructure requirements.
- Evaluate open-source platform technologies through reproducible tests and benchmarks. Record methods, results, limitations, and maintenance risks. Recommend options.
- Build and maintain versioned deployment packages and shared workflows with the integration team. Automate installation, configuration, upgrades, rollback, backup, and restore.
- Build and run CI infrastructure and reproducible reference environments. Automate release tests across supported environments and record results.
- Build and test platform security controls and secure defaults. Test security updates before including them in releases. Provide tested playbooks for partners to connect their identity and access systems.
- Connect infrastructure telemetry to the stack's observability services. Package platform dashboards and alerts.
- Test platform reliability, performance, capacity, and resource use against agreed targets. Use results to improve deployment configuration, packages, and automation.
- Reproduce partner-reported deployment failures in reference environments. Release fixes to deployment packages and automation.
- Maintain and verify runbooks, sizing guides, and troubleshooting instructions so partners can deploy and operate the stack independently.
- Lead platform design and implementation. Set engineering standards, review technical work, and mentor engineers.
Required Qualifications
- 7+ years of experience building and operating production infrastructure.
- Experience leading the design, delivery, and operation of production platforms, including technical reviews, engineering standards, and mentoring.
- Deep experience deploying, operating, and troubleshooting Linux, containers, Kubernetes, and Docker, including networking and persistent storage.
- Experience managing infrastructure as code and using tools like Helm to package and deploy multi-service systems across environments and hardware, with access controls and secrets management.
- Experience building and operating CI infrastructure and release workflows that test deployment, upgrades, rollback, backup, and restore.
- Experience managing OpenTelemetry-based infrastructure telemetry from integration to analysis with the Grafana LGTM stack or equivalent.
- Experience with Ansible and open-source infrastructure-as-code tools, plus strong shell scripting and programming skills in Python or a similar language to automate platforms and build services and tools.
- Strong written and spoken English and French; explain technical tradeoffs and write clear runbooks and troubleshooting guides enabling partners’ independent stack deployment and operation.
- 7+ years of experience building and operating production infrastructure.
- Experience leading the design, delivery, and operation of production platforms, including technical reviews, engineering standards, and mentoring.
- Deep experience deploying, operating, and troubleshooting Linux, containers, Kubernetes, and Docker, including networking and persistent storage.
- Experience managing infrastructure as code and using tools like Helm to package and deploy multi-service systems across environments and hardware, with access controls and secrets management.
- Experience building and operating CI infrastructure and release workflows that test deployment, upgrades, rollback, backup, and restore.
- Experience managing OpenTelemetry-based infrastructure telemetry from integration to analysis with the Grafana LGTM stack or equivalent.
- Experience with Ansible and open-source infrastructure-as-code tools, plus strong shell scripting and programming skills in Python or a similar language to automate platforms and build services and tools.
- Strong written and spoken English and French; explain technical tradeoffs and write clear runbooks and troubleshooting guides enabling partners’ independent stack deployment and operation.
Useful Experience
- Operating GPUs or other accelerators and AI inference workloads in production.
- Deploying software on infrastructure that customers or partners operate.
- Deploying to air-gapped, regulated, or sovereign environments.
- Maintaining or contributing to open-source infrastructure projects.
- Integrating deployments with external identity services.
- Operating GPUs or other accelerators and AI inference workloads in production.
- Deploying software on infrastructure that customers or partners operate.
- Deploying to air-gapped, regulated, or sovereign environments.
- Maintaining or contributing to open-source infrastructure projects.
- Integrating deployments with external identity services.
Good reasons to work in Mila
- The opportunity to contribute to a unique mission with a major impact;
- A comprehensive group insurance program (health, dental, disability, life, travel and extended benefits);
- An employee and family assistance program;
- Access to a telemedicine service;
- A vacation policy offering a base of 20 days' vacation upon hiring;
- A retirement savings plan with a minimum employer contribution of 4%;
- A generous flexible package allowing you to tailor your benefits to what contributes to your well-being. You can select and combine options to suit your needs, including lifestyle credits, enhanced insurance, extra vacation days and enriched pension contributions;
- Flexible working hours, a summer schedule and the possibility of telecommuting;
- A work environment in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation;
- A team of passionate experts in their field;
- A collaborative and inclusive work environment.
De bonnes raisons de travailler chez Mila
- L’occasion de contribuer à une mission unique avec un impact important;
- Un programme d’assurance collective complet (maladie, dentaire, invalidité, vie, assurance voyage et garanties complémentaires);
- Un programme d’aide aux employés et à la famille;
- Un accès à service de télémédecine;
- Une politique de congés annuels offrant une base de 20 jours de vacances dès l’embauche;
- Un régime d’épargne retraite avec contribution de l’employeur minimale de 4%;
- Une généreuse enveloppe flexible vous permettant de personnaliser vos avantages sociaux en fonction de ce qui contribue à votre bien-être. Vous pouvez sélectionner et combiner les options qui correspondent à vos besoins parmi les crédits style de vie, une assurance bonifiée, des journées de vacances supplémentaires et une contribution enrichie au régime de retraite;
- Un horaire flexible, un horaire d’été et une possibilité de télétravail;
- Un milieu de travail au cœur de la Petite Italie, dans le quartier branché Mile-Ex, à proximité des transports en commun;
- Une équipe d’experts de leur domaine, des gens passionnés et passionnants;
- Une ambiance de travail collaborative et inclusive.
Please note that only selected candidates will be contacted.
mila.quebec/fr/protection-de-la-vie-privee
Veuillez noter que seules les personnes sélectionnées seront contactées.
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