Staff Software Engineer — Edge AI, IoT & SaaS (Hybrid)

Xtract One; Toronto; Hybrid; CAD 119,000 - 161,000; Full time

Benefits offered by this job

Benefits

Sick days

Bonus

Stock options

Job summary

Xtract One is seeking a Staff Software Engineer in Toronto to lead software and firmware initiatives for SaaS and hardware security products. You will influence architecture, drive technical strategy, and mentor engineers across teams in a hybrid office model.

The role emphasizes edge processing, AI integration, and secure, scalable deliveries with IoT hardware, STM32 firmware, and cloud data ingestion using AWS.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• 8+ years of experience with influence across teams and architecture.
• Experience with infrastructure-as-code and serverless technologies.
• Strong leadership and communication abilities.
• Delivery of complex, scalable software solutions with business impact.
• Familiarity with SOC 2 Type II and security practices.
• Mentoring and developing engineering talent.
• Expertise in AWS Cloud focusing on data ingestion, BI, and security.

Responsibilities

• Own delivery of systems you architect from start to finish; ensure quality and scalable production.
• Lead key software projects, including firmware/OS integration and edge processing optimization.
• Contribute to AI adoption within the software landscape.
• Set and enforce high standards of code quality, testing, and best practices across hardware and software.
• Stay at the forefront of industry trends to drive continuous improvement and innovation.

Skills

Leadership

8+ years

IaC & Serverless

AWS Cloud

STM32 firmware

IoT hardware

AI-driven development

Security best practices

Mentoring

Communication

Education

Bachelor’s degree in Computer Science or Software Engineering

Job description

Xtract One is seeking a Staff Software Engineer in Toronto to lead software and firmware initiatives for SaaS and hardware security products. You will influence architecture, drive technical strategy, and mentor engineers across teams in a hybrid office model.

The role emphasizes edge processing, AI integration, and secure, scalable deliveries with IoT hardware, STM32 firmware, and cloud data ingestion using AWS.