Staff Full-Stack Engineer in Toronto

Staff Full-Stack Engineer in Toronto

Toronto Full-Time 121500 - 148500 $ / year (est.) On-site
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At a Glance

  • Tasks: Lead the development of a secure web platform using Go and React/TypeScript.
  • Company: Mattermost, a leader in AI-driven architecture for critical sectors.
  • Benefits: Competitive salary, mentorship opportunities, and a chance to work on impactful projects.
  • Other info: Join a dynamic team focused on innovation and open-source contributions.
  • Why this job: Shape the future of technology while ensuring security and reliability in critical infrastructure.
  • Qualifications: Experience in full-stack development and a passion for mentoring others.

The predicted salary is between 121500 - 148500 $ per year.

Mattermost is seeking a Staff Full Stack Engineer to set technical direction and scale its core web platform for defense and critical infrastructure sectors. You will drive architecture across Go backend and React/TypeScript frontend, collaborating with teams to deliver features under strict security and reliability requirements.

You will mentor engineers, shape AI-enabled workflows, and contribute to the open-source codebase while aligning with government/enterprise customer needs and security.

Staff Full-Stack Engineer in Toronto employer: Mattermost, Inc.

At Mattermost, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through mentorship opportunities and the chance to work on cutting-edge AI-driven projects in a secure environment, making a meaningful impact in the defense and critical infrastructure sectors. Located in a vibrant tech hub, we provide our team with the resources and support needed to thrive both personally and professionally.

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Contact Details:

Mattermost, Inc. Recruitment Team

We think you need these skills to ace Staff Full-Stack Engineer in Toronto

Go
React
TypeScript
Architecture Design
Mentorship
AI-Enabled Workflows
Open-Source Contribution