Staff Engineer — AI Platform at Scale (Canada)

MongoDB Inc.

Toronto

Remote

CAD 187,000 - 260,000

Full time

12 days ago

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Benefits offered by this job

Equity
Employee stock purchase program
Flexible PTO
Parental leave 20 weeks
Fertility assistance
RRSP with employer match
Mental health support
Child and elder care
Health, dental, vision benefits

Job summary

MongoDB is seeking a Staff Engineer to provide technical direction for a new AI platform. You will lead teams delivering core platform components, shaping architecture, and driving high-scale distributed systems infrastructure in the AI era.

You will mentor engineers, collaborate with product and design, and contribute to engineering practices to ensure reliability and performance in a fast-growing product area.

Qualifications

  • 8+ years of building distributed systems or foundational cloud services at scale.
  • Experience leading 15–20 person projects with distributed systems infrastructure.
  • Strong design, testing, debugging and performance tuning skills in large codebases.
  • Experience with Python, Go and Java; containerization and orchestration is a plus.
  • Excellent verbal and written technical communication; collaborative mindset.

Responsibilities

  • Define the first version and future evolution of the service with PM and design teams.
  • Design, build and deliver core platform components with other teams.
  • Contribute to shaping architecture, code reviews and development practices.
  • Mentor engineers and take ownership of projects.

Skills

Distributed systems
Cloud services
Python
Go
Java
Technical leadership
Communication
Mentoring
Team leadership
Learning mindset

Tools

Kubernetes

Job description

MongoDB is seeking a Staff Engineer to provide technical direction for a new AI platform. You will lead teams delivering core platform components, shaping architecture, and driving high-scale distributed systems infrastructure in the AI era.

You will mentor engineers, collaborate with product and design, and contribute to engineering practices to ensure reliability and performance in a fast-growing product area.

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