Remote Software Engineer - Architecture, Code Review & Docs

Crossing Hurdles; Canada; On-site; CAD 90,000 - 130,000; Full time

Job summary

Crossing Hurdles is seeking an experienced software architect to lead design reviews, ensure quality standards, and mentor teams across distributed environments.

You will develop and maintain comprehensive technical documentation, shape software architecture, and drive best practices for long‑term stability and scalability, while contributing concrete examples for AI training datasets.

This role emphasizes clear communication and practical solutions in a remote, collaborative setting.

Qualifications

• Experience designing and reviewing complex software architectures.
• Proven ability to produce high-quality technical documentation.
• Strong code review background with constructive feedback.
• Excellent written and verbal communication skills.
• Experience collaborating with distributed teams remotely.

Responsibilities

• Conduct detailed code reviews, providing actionable feedback to ensure functionality, performance, and adherence to standards.
• Develop and maintain comprehensive technical documentation to support architectural decisions and ongoing maintenance.
• Collaborate in shaping software architecture and recommending industry best practices for long-term stability and scalability.
• Participate in the analysis of requirements to deliver efficient, high-quality deliverables meeting client and project needs.
• Contribute real-world programming examples, explanations, and problem-solving approaches as foundational input for AI training datasets.

Skills

Software architecture design

Code review

Technical documentation

Written and verbal communication

Remote collaboration

Tools

Documentation tools

Job description

Crossing Hurdles is seeking an experienced software architect to lead design reviews, ensure quality standards, and mentor teams across distributed environments.

You will develop and maintain comprehensive technical documentation, shape software architecture, and drive best practices for long‑term stability and scalability, while contributing concrete examples for AI training datasets.

This role emphasizes clear communication and practical solutions in a remote, collaborative setting.