Senior Software Engineer

Role overview

Responsibilities

• Provide technical leadership and drive an area from design through production.
• Build features across client and service components for workbook understanding, task completion, and result validation.
• Address performance, scale, resiliency, disaster recovery, security, and cost.
• Establish evaluation, telemetry, monitoring, and guardrails for quality and reliability.
• Plan and run unit, integration, regression, and security testing; improve coverage through automation.
• Lead or participate in incident response, mitigation, reviews, root-cause analysis, and reliability work.
• Validate AI-generated engineering artifacts and promote disciplined AI-assisted development.
• Collaborate across product, design, applied science, engineering, security, and privacy.
• Break down complex work and deliver secure, tested, maintainable code.
• Support deployment automation and safe rollouts with feature flags, metrics, monitoring, and rollback plans.
• Coordinate shared components and patterns with other teams; mentor engineers and improve engineering standards.

Required qualifications

• Bachelor's degree in Computer Science or a related technical field and 4+ years of technical engineering experience coding in one or more listed languages, or equivalent experience.
• Must pass the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter.

Preferred qualifications

• Master's degree in Computer Science or related field and 6+ years of engineering experience, or bachelor's degree and 8+ years, or equivalent experience.
• Experience with AI/LLM-assisted software development and agentic systems, such as tool use, orchestration, planning, evaluation, or multi-agent patterns.
• Experience with high-scale services, distributed systems, microservices, event-driven systems, or production observability.
• Experience in applied science or data-driven product development, including experimentation or model evaluation.
• Experience leading technical designs, mentoring, cross-team alignment, and improving AI or production-service quality and reliability.
• Effective communication and cross-functional collaboration experience.

Compensation

• Typical base pay range across Canada is CAD 114,400–203,900 per year.

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