Job Title

Job Opportunity We''re looking for an experienced Senior Site Reliability Engineer who will bring focus and subjectmatter expertise around designing and implementing reliable, scalable AI service infrastructure and automation systems. This is a unique opportunity to grow in the world of AI operations and work with a team of passionate individuals committed to bringing enterprisegrade reliability to our production AI services. At RBC Borealis, youll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. Responsibilities Designing, building, and optimizing AI service reliability infrastructure and automation systems that operate the business''s AI and ML applications. Designing and implementing best practices and standards for reliability, observability, and incident response across AI systems and ML pipelines. Collaborating with engineers and machine learning researchers to ensure continuous deployment, monitoring, and resilience of AI applications at scale. Supporting AI applications and projects with infrastructure design decisions, capacity planning, and comprehensive observability. Building highly scalable, resilient cloud and onpremise systems for hosting AI services using stateoftheart technologies. Ideal Candidate Strong and relevant experience designing and implementing distributed systems and reliability infrastructure for AI systems. Proven expertise in Site Reliability Engineering practices, including observability, alerting, and incident management. Experience building and maintaining CI/CD pipelines such as Jenkins, GitHub Actions, or similar tools. Indepth knowledge of Kubernetes and OpenShift Container Platform (OCP4) or similar container orchestration platforms. Handson experience with observability and monitoring platforms such as Dynatrace, Datadog, or similar solutions. Experience implementing logging and tracing solutions for distributed systems using platforms like Elasticsearch or similar tools. Experience optimizing containerized workloads and managing cloud infrastructure across hybrid environments. Handson experience building and deploying hybrid environments onprem and major cloud environments, such as AWS and Azure. Experience managing NoSQL databases such as MongoDB in production environments. Familiarity with machine learning model deployment, serving, and operational requirements. Experience or interest in exploring selfhosted machine learning model infrastructure and agentic workflow systems. Familiarity with programming languages such as Python, Bash, or JavaScript. Benefits 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 localtoglobal scale. About RBC Borealis RBC Borealis is the driving force behind Royal Bank of Canadas AI and data innovation. As part of Canadas largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through worldclass research, solutions, and a resilient data platform. With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, were at the forefront of AI research and platform development. 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 legallyprotected factors. Disabilityrelated accommodations during the application process are available upon request. Job Details Address: 407 8 AVE SW, CALGARY City: Calgary Country: Canada Work hours/week: 37.5 Employment Type: Full time Platform: TECHNOLOGY AND OPERATIONS Job Type: Regular Pay Type: Salaried Posted Date: 2026-04-23 Application Deadline: 2026-05-15 Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above. #J-18808-Ljbffr