Senior Software Engineer, Platform & Integration - EN 362

Position overview

What you will do

• Design and integrate solutions across enterprise platforms and services for scalability, maintainability, and alignment with EDC standards.
• Own architectural integrity and integration decisions; evaluate technical trade-offs and guide automation versus human oversight.
• Ensure AI-enabled capabilities are implemented safely and responsibly, with accountability for outputs.
• Review and validate AI-assisted code, designs, and workflows for accuracy, reliability, and standards alignment.
• Develop secure, scalable, performant solutions, including APIs, cloud-native components, and integrations.
• Ensure reliability, support defect resolution, and proactively manage quality and risk.

Compensation

• Salary typically ranges from $96,557 to $128,743 annually, depending on qualifications and experience, plus a performance-based incentive.

Location and work arrangement

• Hybrid work environment with a current requirement of three days per week; this requirement may change.
• Role may be performed from the Ottawa headquarters or a Community Hub in Toronto, Mississauga, Montreal, Laval, or Brossard.
• Relocation assistance is available to candidates who meet eligibility criteria.

Team and organization

Benefits

• EDC describes a competitive compensation and benefits package, work-life balance, paid vacation, corporate closure period, summer early Fridays, learning opportunities, wellness programs, and community engagement.

Application deadline

• Application deadline: October 1, 2026, at 12:00 p.m. ET.

Requirements

• Senior-level software engineering capability for designing, integrating, and governing platform-based enterprise solutions.
• Ability to make and own technical and integration decisions, evaluate trade-offs, and align solutions with platform and business objectives.
• Ability to ensure solutions are scalable, secure, maintainable, reliable, and aligned with enterprise standards and risk controls.
• Ability to apply AI-enabled capabilities responsibly, with accountability and traceability for outputs.
• Ability to review and validate AI-assisted code, designs, and workflows for accuracy, reliability, and standards alignment.