Staff AI Engineer

United States Digital Space LLC; Toronto; On-site; CAD 120,000 - 160,000; Full time

Benefits offered by this job

Bonuses

Flexible benefits

Stock options

Coaching and development

Job summary

Borealis is building the AI Agent Platform to power secure, scalable AI-powered applications across OpenShift, AWS, and Azure. You will design and operate core platform components, mentor engineers, and drive architectural decisions to enable teams to build and run AI-powered systems safely and efficiently.

The ideal Staff Software Developer collaborates with security and architecture teams, focuses on observability, identity, and runtime orchestration, and champions production readiness across

Qualifications

• 5+ years of infrastructure engineering experience with cloud, Kubernetes, and security.

Responsibilities

• Design, build, and maintain services for secure, scalable AI agent workloads.
• Collaborate with engineering, architecture, and security to define standards and APIs.
• Drive platform capabilities including identity, networking, observability, and orchestration.
• Mentor engineers through code reviews and design sessions.
• Improve developer experience and deployment automation via CI/CD and IaC.
• Plan milestones with engineering squads and ensure reliability and security.

Skills

Azure

AWS

Kubernetes

OpenShift

Terraform

Infra security

Agentic AI concepts

CI/CD

Observability

Tools

Prometheus

Grafana

Dynatrace

AI Foundry

Bedrock

Azure AI Search

Job description

Job Description

What is the opportunity?

At the company Borealis, we're building the AI Agent Platform that will redefine how financial services are developed, deployed, and run securely at scale. Our team is responsible for the platform that powers intelligent, autonomous agents across a diverse technology infrastructure spanning OpenShift, AWS, and Azure. As a Staff Software Developer, you'll play a critical role in designing, building, and operating core components of this platform. You'll work alongside Senior and Principal Developers, driving architectural decisions, mentoring engineers, and delivering high-quality, production-ready code. You'll contribute to shaping the platform that enables the company teams to build and run AI-powered systems safely and efficiently.

Responsibilities

• Design, build, and maintain services that enable secure, scalable, and observable AI agent workloads across multiple environments.
• Collaborate with engineering, architecture, and security teams to define and implement technical standards, APIs, and best practices.
• Drive the development of platform capabilities including identity, networking, observability, and runtime orchestration.
• Mentor and support engineers through code reviews, design sessions, and knowledge sharing.
• Contribute to improving developer experience and deployment automation through CI/CD, infrastructure-as-code, and testing frameworks.
• Participate in technical planning, helping to define milestones and deliverables across engineering squads.
• Ensure reliability, performance, and security are embedded into everything we build.

Ideal candidate if you:

Must-have

• 5+ years of infrastructure engineering with a strong understanding of technology infrastructure, including Cloud (Azure, AWS), Kubernetes (AKS, OpenShift), containerization, Terraform, and infrastructure security.
• Strong understanding of agentic development and core agentic AI concepts: MCP, A2A, Guardrails, Authentication, and Evaluation.
• Practical experience building and deploying containerized, cloud-native applications across diverse infrastructure environments.
• Hands-on experience with AI resources and services such as AI Foundry, Bedrock, and Azure AI Search.
• Experience with observability tools and monitoring systems such as Prometheus, Grafana, or Dynatrace.
• Proven track record of delivering high-quality, production systems end-to-end.
• Strong collaboration and communication skills, with experience influencing technical decisions across teams.

Nice-to-have

• Experience with AI frameworks such as LangChain, LlamaIndex, or similar.
• Familiarity with Azure Entra ID, workload identity, SPIFFE/SPIRE, or OIDC integration.
• Exposure to admission controllers, policy enforcement, or platform security tools.
• Interest in mentoring engineers and contributing to technical strategy discussions.

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 company Borealis

the company 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

the company 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.