Principal AI DevSecOps Engineer
Top Benefits
About the role
Job Description
What's the opportunity?
At RBC, you'll be joining a team of leading platform engineers and security specialists focused on implementing and optimizing our enterprise GenAI platform infrastructure. You will have access to cutting-edge GPU technologies, multi-cloud environments, and the computational resources to support novel AI/ML workload deployment alongside traditional enterprise applications.
We're looking for an exceptional Principal AI DevSecOps Engineer who's excited by the opportunity of being at the forefront of implementing secure, scalable infrastructure for next-generation AI applications and mission-critical enterprise systems. As a Principal AI DevSecOps Engineer, you'll be part of a collaborative group who aims to deliver end-to-end platform solutions – everything from Kubernetes cluster management and GPU optimization, to implementing enterprise-grade security frameworks, to deploying complex multi-cloud architectures. The goal is to understand the needs of our AI control plane team and platform architects and bring to life secure and efficient solutions that can only be achieved through deep expertise in both traditional application deployment and AI/ML workload management.
Your responsibilities include:
- AI/ML Platform Implementation: Executing deployment and management of GenAI platform components, implementing end-to-end ML model deployment pipelines, and optimizing GPU cluster management across Kubernetes environments;
- Enterprise Application & Infrastructure Operations: Building and maintaining highly available Kubernetes clusters for both traditional applications and GPU-intensive AI workloads, implementing advanced Kubernetes features, and managing multi-tenant environments;
- Multi-Cloud Platform Deployment: Deploying solutions across AWS SageMaker, Azure Machine Learning, and integrating OpenShift Container Platform with cloud-native AI services;
- Advanced Security & Networking Implementation: Designing comprehensive security controls across AI/ML pipelines, deploying advanced networking solutions including service mesh and network segmentation, and ensuring compliance with enterprise security policies;
- Platform Engineering & Automation: Building Infrastructure as Code for diverse platform components, developing automation tools for platform management, and implementing self-service capabilities for development teams; and
- Troubleshooting and Support: Resolving complex infrastructure issues across diverse application portfolios and maintaining comprehensive monitoring and alerting systems.
You're our ideal candidate if you have:
- 8+ years of hands-on experience with Kubernetes in production environments and 5+ years of experience with AI/ML infrastructure and model deployment;
- Expert-level knowledge of AWS SageMaker, Azure Machine Learning, and extensive experience with OpenShift Container Platform (OCP);
- Programming expertise in Python, Go, Bash, and Infrastructure as Code tools (Terraform, Helm, Kustomize);
- Advanced Kubernetes networking knowledge including CNI plugins, network policies, and service mesh implementations (Istio, Linkerd);
- Deep understanding of enterprise security frameworks including container security, vulnerability scanning, secrets management, and compliance standards (SOC2, PCI-DSS, GDPR);
- Experience with ML frameworks (TensorFlow, PyTorch, Hugging Face) and MLOps tools (MLflow, Kubeflow, Seldon, KServe);
- Proven experience managing GPU clusters, NVIDIA GPU Operator, and distributed training environments;
- Knowledge of professional software engineering best practices including GitOps methodologies, CI/CD pipeline implementation, and infrastructure automation; and
- Strong communication skills, collaborative attitude, and comfort working in complex multi-platform environments.
What's in it for you?
- Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
- A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
- Leaders who support your development through coaching and managing opportunities;
- Ability to make a difference and lasting impact from a local-to-global scale.
About RBC Borealis
RBC Borealis is the driving force behind Royal Bank of Canada’s AI and data innovation. As part of Canada’s largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through world-class research, solutions, and a resilient data platform. With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, we’re at the forefront of AI research and platform development. With a focus on cutting-edge research in areas like time series forecasting, causal machine learning, and responsible AI, we are seamlessly integrating AI research and data engineering, to solve critical challenges in the financial industry. We are building intelligent, and scalable, data-driven solutions that will help communities thrive and drive innovation for our customers across the bank.
Inclusion and Equal Opportunity Employment
RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.
#TECHPJ
#Ll-POST
Job Skills
Big Data Analytics, Client Counseling, Coaching Others, Critical Thinking, Decision Making, Industry Knowledge, Machine Learning, Results-Oriented, Software Engineering, Software Product Design
Additional Job Details
Address:
RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO
City:
Toronto
Country:
Canada
Work hours/week:
37.5
Employment Type:
Full time
Platform:
TECHNOLOGY AND OPERATIONS
Job Type:
Regular
Pay Type:
Salaried
Posted Date:
2025-08-12
Application Deadline:
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Inclusion and Equal Opportunity Employment
At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.
About RBC
Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 94,000+ employees who leverage their imaginations and insights to bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada's biggest bank and one of the largest in the world, based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to our more than 17 million clients in Canada, the U.S. and 27 other countries. Learn more at rbc.com. We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at www.rbc.com/community-social-impact.
La Banque Royale du Canada est une institution financière mondiale définie par sa raison d'être, guidée par des principes et orientée vers l'excellence en matière de rendement. Notre succès est attribuable aux quelque 94 000+ employés qui mettent à profit leur créativité et leur savoir faire pour concrétiser notre vision, nos valeurs et notre stratégie afin que nous puissions contribuer à la prospérité de nos clients et au dynamisme des collectivités. Selon la capitalisation boursière, nous sommes la plus importante banque du Canada et l'une des plus grandes banques du monde. Nous avons adopté un modèle d'affaires diversifié axé sur l'innovation et l'offre d'expériences exceptionnelles à nos plus de 17 millions de clients au Canada, aux États Unis et dans 27 autres pays. Pour en savoir plus, visitez le site rbc.com/francais
Nous sommes fiers d'appuyer une grande diversité d'initiatives communautaires par des dons, des investissements dans la collectivité et le travail bénévole de nos employés. Pour de plus amples renseignements, visitez le site www.rbc.com/collectivite-impact-social.
Principal AI DevSecOps Engineer
Top Benefits
About the role
Job Description
What's the opportunity?
At RBC, you'll be joining a team of leading platform engineers and security specialists focused on implementing and optimizing our enterprise GenAI platform infrastructure. You will have access to cutting-edge GPU technologies, multi-cloud environments, and the computational resources to support novel AI/ML workload deployment alongside traditional enterprise applications.
We're looking for an exceptional Principal AI DevSecOps Engineer who's excited by the opportunity of being at the forefront of implementing secure, scalable infrastructure for next-generation AI applications and mission-critical enterprise systems. As a Principal AI DevSecOps Engineer, you'll be part of a collaborative group who aims to deliver end-to-end platform solutions – everything from Kubernetes cluster management and GPU optimization, to implementing enterprise-grade security frameworks, to deploying complex multi-cloud architectures. The goal is to understand the needs of our AI control plane team and platform architects and bring to life secure and efficient solutions that can only be achieved through deep expertise in both traditional application deployment and AI/ML workload management.
Your responsibilities include:
- AI/ML Platform Implementation: Executing deployment and management of GenAI platform components, implementing end-to-end ML model deployment pipelines, and optimizing GPU cluster management across Kubernetes environments;
- Enterprise Application & Infrastructure Operations: Building and maintaining highly available Kubernetes clusters for both traditional applications and GPU-intensive AI workloads, implementing advanced Kubernetes features, and managing multi-tenant environments;
- Multi-Cloud Platform Deployment: Deploying solutions across AWS SageMaker, Azure Machine Learning, and integrating OpenShift Container Platform with cloud-native AI services;
- Advanced Security & Networking Implementation: Designing comprehensive security controls across AI/ML pipelines, deploying advanced networking solutions including service mesh and network segmentation, and ensuring compliance with enterprise security policies;
- Platform Engineering & Automation: Building Infrastructure as Code for diverse platform components, developing automation tools for platform management, and implementing self-service capabilities for development teams; and
- Troubleshooting and Support: Resolving complex infrastructure issues across diverse application portfolios and maintaining comprehensive monitoring and alerting systems.
You're our ideal candidate if you have:
- 8+ years of hands-on experience with Kubernetes in production environments and 5+ years of experience with AI/ML infrastructure and model deployment;
- Expert-level knowledge of AWS SageMaker, Azure Machine Learning, and extensive experience with OpenShift Container Platform (OCP);
- Programming expertise in Python, Go, Bash, and Infrastructure as Code tools (Terraform, Helm, Kustomize);
- Advanced Kubernetes networking knowledge including CNI plugins, network policies, and service mesh implementations (Istio, Linkerd);
- Deep understanding of enterprise security frameworks including container security, vulnerability scanning, secrets management, and compliance standards (SOC2, PCI-DSS, GDPR);
- Experience with ML frameworks (TensorFlow, PyTorch, Hugging Face) and MLOps tools (MLflow, Kubeflow, Seldon, KServe);
- Proven experience managing GPU clusters, NVIDIA GPU Operator, and distributed training environments;
- Knowledge of professional software engineering best practices including GitOps methodologies, CI/CD pipeline implementation, and infrastructure automation; and
- Strong communication skills, collaborative attitude, and comfort working in complex multi-platform environments.
What's in it for you?
- Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
- A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
- Leaders who support your development through coaching and managing opportunities;
- Ability to make a difference and lasting impact from a local-to-global scale.
About RBC Borealis
RBC Borealis is the driving force behind Royal Bank of Canada’s AI and data innovation. As part of Canada’s largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through world-class research, solutions, and a resilient data platform. With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, we’re at the forefront of AI research and platform development. With a focus on cutting-edge research in areas like time series forecasting, causal machine learning, and responsible AI, we are seamlessly integrating AI research and data engineering, to solve critical challenges in the financial industry. We are building intelligent, and scalable, data-driven solutions that will help communities thrive and drive innovation for our customers across the bank.
Inclusion and Equal Opportunity Employment
RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.
#TECHPJ
#Ll-POST
Job Skills
Big Data Analytics, Client Counseling, Coaching Others, Critical Thinking, Decision Making, Industry Knowledge, Machine Learning, Results-Oriented, Software Engineering, Software Product Design
Additional Job Details
Address:
RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO
City:
Toronto
Country:
Canada
Work hours/week:
37.5
Employment Type:
Full time
Platform:
TECHNOLOGY AND OPERATIONS
Job Type:
Regular
Pay Type:
Salaried
Posted Date:
2025-08-12
Application Deadline:
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Inclusion and Equal Opportunity Employment
At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.
About RBC
Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 94,000+ employees who leverage their imaginations and insights to bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada's biggest bank and one of the largest in the world, based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to our more than 17 million clients in Canada, the U.S. and 27 other countries. Learn more at rbc.com. We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at www.rbc.com/community-social-impact.
La Banque Royale du Canada est une institution financière mondiale définie par sa raison d'être, guidée par des principes et orientée vers l'excellence en matière de rendement. Notre succès est attribuable aux quelque 94 000+ employés qui mettent à profit leur créativité et leur savoir faire pour concrétiser notre vision, nos valeurs et notre stratégie afin que nous puissions contribuer à la prospérité de nos clients et au dynamisme des collectivités. Selon la capitalisation boursière, nous sommes la plus importante banque du Canada et l'une des plus grandes banques du monde. Nous avons adopté un modèle d'affaires diversifié axé sur l'innovation et l'offre d'expériences exceptionnelles à nos plus de 17 millions de clients au Canada, aux États Unis et dans 27 autres pays. Pour en savoir plus, visitez le site rbc.com/francais
Nous sommes fiers d'appuyer une grande diversité d'initiatives communautaires par des dons, des investissements dans la collectivité et le travail bénévole de nos employés. Pour de plus amples renseignements, visitez le site www.rbc.com/collectivite-impact-social.