About EAIGLE EAIGLE is a leader in AI-driven solutions for the supply chain and logistics industry, helping our clients unlock efficiency and innovation in complex operational environments. As a rapidly growing B2B company, we rely on high-impact events, conferences, and exhibitions to connect with our audience and expand our influence. We’re looking for a talented, detail-oriented Marketing and Events Coordinator who thrives in a dynamic environment, excels in coordination, and is ready to bring their event and marketing expertise to a close-knit, hardworking team. We are seeking a highly skilled Senior Software Engineer to join our dynamic R&D software team as a Cloud Software Technical Lead. This is a pivotal role in designing, building, and maintaining a scalable, secure, cloud native system to process, distribute and archive the results of our on-premise “edge” computer vision systems. As the cloud technical lead, you will work closely with product managers and the computer vision team to ensure the end-to-end system is robust, efficient, and future-ready. You’ll bring expertise and experience in architecting cloud systems that support computer vision data while adhering to security, scalability, and reliability standards. What you'll do: ● Design, develop, and maintain the architecture for a cloud hosted backend supporting edge hosted computer vision pipelines. ● Define and optimize secure, high-performance REST APIs for integration with internal and external services, data analysis tools, and web interfaces. ● Optimize database, API, and backend system performance to ensure suitable latency and scalability. ● Ensure robust fault tolerance, monitoring, and recovery mechanisms to meet availability requirements. ● Own and maintain the deployment toolchain using Infrastructure-as-Code (IaC) tools like BiCEP and Terraform. Automate CI/CD pipelines to streamline development-to-production workflows. ● Work closely with cross-functional teams, including computer vision engineers, software engineers, and product managers, to align system design with business and technical needs. ● Provide mentorship, guidance, and technical expertise to team members in areas of system design, software engineering best practices, and ML operations technology. What you need: ● Bachelor’s Degree in Computer Science, Engineering, or other relevant technical fields ● 10+ years of software engineering experience, including designing and maintaining cloud systems. ● 3+ years of experience as a software engineer supporting ML powered systems. ● Proven experience with secure, scalable REST API design and implementation. ● Hands-on experience with on-premise hardware, including NVIDIA GPUs, and edge devices for real-time data processing. ● Strong programming skills in Python with expertise in designing efficient, high-performance systems. ● Deep understanding of cloud platforms (e.g., Azure) and cloud-native application development. ● Experience with server-less architectures and containerization tools (e.g., Docker, Kubernetes). ● Proficiency with IaC tools such as BiCEP or Terraform for infrastructure automation. ● Strong knowledge of CI/CD pipelines and backend deployment processes. ● Solid understanding of secure system design and software engineering best practices. ● Ability to work effectively with multidisciplinary teams and communicate complex technical concepts clearly. Preferred Qualifications: ● Experience with video processing, streaming, or encoding pipelines. ● Familiarity with edge computing and ML processors. ● Understanding of the ML R&D lifecycle, including the training and deployment of neural networks for computer vision. ● Prior experience with real-time systems operating under tight SLA constraints. What we offer: ● A competitive compensation package, including base salary and stock options. ● An opportunity to work in a high-impact role at the forefront of innovation in computer vision and ML-driven logistics. ● A remote-first work environment. Job Type: Full-time Benefits: Dental care Extended health care Paid time off Work from home Education: Bachelor's Degree (preferred) Language: English (preferred) Work Location: Hybrid remote in Markham, ON L3R 9Z7