Staff AI Production Engineer - Systems & Reliability

RBC; Toronto; On-site; CAD 100,000 - 120,000; Full time

Job summary

A leading financial services provider is seeking a Staff Software Engineer to lead technical initiatives within its innovation team. You will develop the infrastructure for AI and machine learning platforms, ensuring reliable and efficient operations. The ideal candidate has over 8 years of experience, proficiency in programming languages such as Python or Java, and expertise in cloud-native architectures. This role offers a dynamic work environment and opportunities for significant impact in financial technology.

Qualifications

• 8+ years of experience in production engineering or similar roles.
• Experience supporting large-scale distributed systems or AI/ML platforms.
• Proficiency in one of Python, Go, or Java.
• Strong experience with CI/CD and DevOps practices.
• Solid understanding of data engineering platforms.

Responsibilities

• Own and operate backend services for AI/ML platforms.
• Lead engineering initiatives and mentor team members.
• Participate in on-call rotations for critical incidents.
• Collaborate closely with data scientists and product teams.

Skills

Python

Go

Java

CI/CD pipelines

Container orchestration

Distributed systems

Cloud-native architectures

Observability tools

Data engineering

Networking fundamentals

Education

Bachelor's degree in Computer Science

Tools

Kubernetes

OpenShift

Terraform

Ansible

Prometheus

Grafana

PostgreSQL

MongoDB

Kafka

Redis

Job description

A leading financial services provider is seeking a Staff Software Engineer to lead technical initiatives within its innovation team. You will develop the infrastructure for AI and machine learning platforms, ensuring reliable and efficient operations. The ideal candidate has over 8 years of experience, proficiency in programming languages such as Python or Java, and expertise in cloud-native architectures. This role offers a dynamic work environment and opportunities for significant impact in financial technology.