Staff Software Engineer, AI Compute Platform

DataRobot

Toronto

On-site

CAD 140,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Medical, Dental & Vision Insurance
Flexible Time Off Program
Paid Holidays
Paid Parental Leave
Global Employee Assistance Program

Job summary

A leading AI solutions provider in Toronto is seeking a Staff Software Engineer to join their AI Compute team. The successful candidate will lead technical initiatives, mentor engineers, and design systems that optimize performance and reliability. This role requires expertise in Kubernetes, CI/CD processes, and a passion for building scalable solutions. The company offers competitive benefits, including medical insurance and flexible time off. Join us to empower teams to govern AI efficiently and securely.

Qualifications

  • Proficiency in Kubernetes architecture, resource management, and performance monitoring.
  • Experienced in developing and mentoring technical teams to excel.
  • Strong aptitude for designing scalable cloud solutions and CI/CD processes.

Responsibilities

  • Lead system design to ensure micro-services are performant and reliable.
  • Collaborate with product and security teams to ensure processes are compliant.
  • Mentor engineers and support continuous improvement in development practices.

Skills

Kubernetes architecture
Python
CI/CD pipelines
Operational excellence
Mentoring engineers

Education

8+ years of experience
Expert in Python (5+ years)
Experience with Kubernetes environments

Tools

Harness.io
Golang
Terraform
Helm charts

Job description

A leading AI solutions provider in Toronto is seeking a Staff Software Engineer to join their AI Compute team. The successful candidate will lead technical initiatives, mentor engineers, and design systems that optimize performance and reliability. This role requires expertise in Kubernetes, CI/CD processes, and a passion for building scalable solutions. The company offers competitive benefits, including medical insurance and flexible time off. Join us to empower teams to govern AI efficiently and securely.
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