Senior Software Engineer

RBC

Toronto

On-site

CAD 120,000 - 190,000

Full time

23 hours ago

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Job summary

RBC is seeking a Senior Software Engineer in Toronto to design and build robust AI services and scalable systems for production AI workloads. You will collaborate with data scientists and infrastructure teams to deliver enterprise-grade software, balancing on-prem and cloud deployments.

The role emphasizes API design, distributed systems, and modern frameworks using Python and Golang, with performance tuning and observability across hybrid environments.

Qualifications

Experience designing distributed systems and AI service architectures.
Experience with code review, testing, design patterns, and software architecture.
Hands-on experience building scalable applications with modern frameworks.
Containerization with Docker and Kubernetes or OpenShift.
API, event-driven, microservices, and service-oriented architectures.
Proficiency in Python and Golang.
Experience with performance optimization and caching.
Experience deploying across hybrid on-prem and cloud (AWS/Azure).
Experience with SQL and NoSQL databases like MongoDB.
Familiarity with observability, monitoring, logging.

Responsibilities

Designing, building, and optimizing AI services that power the business’s AI and ML applications
Following software best practices and standards for code quality, performance, and scalability across AI applications
Collaborating with infrastructure engineers and machine learning researchers to support the integration, reliability, and performance of AI applications at scale
Contributing to technical design discussions and system architecture for AI applications and projects, including API design, data models, and integration patterns
Building scalable, resilient cloud and on-premise software systems for hosting AI services using state-of-the-art technologies

Skills

Distributed systems

APIs & microservices

Python

Golang

Cloud (AWS/Azure)

Observability

Performance optimization

Caching

Hybrid deployment

SQL/NoSQL

Tools

Docker

Kubernetes

OpenShift

MongoDB

Job description

What’s the opportunity?

We’re looking for a Senior Software Engineer who will help design and build robust, scalable AI services. This is a great opportunity to grow in the world of AI engineering and work with a team of passionate individuals committed to delivering enterprise-grade software solutions for our production AI services.

Job Description

Your responsibilities include:

Designing, building, and optimizing AI services that power the business’s AI and ML applications
Following software best practices and standards for code quality, performance, and scalability across AI applications
Collaborating with infrastructure engineers and machine learning researchers to support the integration, reliability, and performance of AI applications at scale
Contributing to technical design discussions and system architecture for AI applications and projects, including API design, data models, and integration patterns
Building scalable, resilient cloud and on-premise software systems for hosting AI services using state-of-the-art technologies

You’re our ideal candidate if you have:

Experience designing and implementing distributed systems and software architectures for AI services
Experience with software engineering practices, including code review, testing, design patterns, and software architecture
Hands‑on experience building and deploying scalable applications and services using modern frameworks and technologies
Working knowledge of containerization technologies such as Docker and Kubernetes or OpenShift Container Platform (OCP4)
Experience designing and implementing APIs, event‑driven, microservices, and service‑oriented architectures
Proficiency in Python and Golang
Experience with application performance optimization, caching strategies, and tuning distributed systemsi>
Experience building and deploying applications across hybrid environments on‑prem and major cloud environments, such as AWS and Azure
Experience designing data access layers and working with databases (both SQL and NoSQL such as MongoDB)
Basic understanding of machine learning model serving, inference optimization, and ML system design patterns
Exposure to deploying and managing agentic workflow systems and self‑hosted ML models
Familiarity with observability, monitoring, and logging practices to ensure visibility into system behaviour and performance

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 the AI Group:

RBC’s AI Group is the AI accelerator for RBC, with a focus on driving the shift from early‑stage AI projects to scaled, client outcomes that amplify the impact of RBC’s people. In addition to helping scale the biggest AI opportunities at RBC, the AI Group is responsible for advancing research into emerging use cases across generative and agentic AI, while maintaining expertise in security, responsible AI and regulatory expectations. The Business Enablement function within the AI Group partners with LOBs and Functions to set AI ambition, originate transformation opportunities, and frame programs for delivery — ensuring RBC remains at the frontier of AI‑enabled value creation.

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

Job Skills

Active Learning, Agile Methodology, Application Integrations, Collaboration, Decision Making, Detail‑Oriented, Enterprise Application Delivery, Group Problem Solving, Programming Languages, Software Development, Software Development Life Cycle (SDLC), Software Solutions, Technical Knowledge

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: 2026-07-30

Application Deadline: 2026-09-25

Note

Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One 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.

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