Full Stack Developer

About SAPSOL Technologies Inc. SAPSOL Technologies Inc. is a global innovation leader operating at the intersection of SAP, AI, and Quantum Computing . We develop SR&ED-compliant, future-ready products such as Trace. Secure.ai , Hire. Rig.ai , and Robo. Cart.ai , combining automation, analytics, and intelligence into one powerful enterprise ecosystem.

Our mission is to drive the next generation of digital transformation using AI-driven, cloud-native, and quantum-enabled technologies . Role Overview We’re hiring a deadline-driven Full-Stack Developer to work onsite in Mississauga on next-generation AI and SAP-integrated platforms. You’ll design, build, and deploy AI-enabled enterprise systems using our internal tech stack — Laravel MVC, Java, JavaScript, Progress Database, Docker, and Kubernetes — while maintaining full SR&ED compliance and delivering under tight timelines.

Key Responsibilities

Build and enhance modules for Trace. Secure.ai , Hire. Rig.ai , and Quantum-ready prototypes. Integrate AI frameworks (OpenAI, Anthropic, Lang. Chain, Gemini, etc.) into live systems. Develop and maintain services using Laravel MVC , Java , and JavaScript (Node/Vue/React) . Manage and optimize Progress Database for speed and scalability.

Deploy solutions through Docker containers and Kubernetes orchestration . Document all R&D activity for SR&ED compliance (uncertainties, experiments, results). Consistently meet strict project deadlines with production-ready deliverables. Collaborate with cross-functional teams, including AI and SAP consultants.

Required Skills

Expert in Laravel MVC Proficient in Java and JavaScript (Node.js / Vue.js / React) Experience with Progress Database or equivalent RDBMS Strong knowledge of Docker & Kubernetes Integration of AI APIs (OpenAI, Gemini, Lang. Chain, etc.) Understanding of RESTful APIs, CI/CD, and microservice architecture Proven record of on-time delivery under demanding schedules Familiarity with SR&ED documentation requirements Preferred / Asset Skills Any SAP knowledge is a strong asset (BTP, S/4HANA, Fiori, integration experience) AI-driven microservices and vector databases (Pinecone, Weaviate, etc.)

Exposure to Quantum frameworks (Qiskit, Pennylane, D-Wave QUBO) DevOps automation (Terraform, Helm, Jenkins)