Tech Lead

Chefman is one of North America’s leading brands of small kitchen appliances. We are on a mission to exceed expectations with our commitment to building best‑in‑class products to cook the food we all love. We are hard at work to realize our vision of crafting the world’s most desired kitchen appliances. We know what it's like to grow a business and hit walls you didn't see coming. In 2017, one of those walls was supply chain — and we realized we weren't alone. So, we built SAYDAR: software designed from the ground up to make supply chain simple, autonomous, and within reach for hardworking businesses of every size. Our team of software developers, and design experts have worked tirelessly to create an unparalleled supply chain solution, it's not a finished product — it's a commitment we keep improving alongside our customers. We are seeking a highly technical, AI forward Tech Lead for our supply chain software, SAYDAR, to drive the evolution of our platform, infrastructure, and intelligent systems. This role is ideal for someone who thrives at the intersection of software engineering, scalable architecture, cloud infrastructure, and applied AI. You will lead the technical direction for backend systems, DevOps, and platform performance while identifying opportunities to leverage AI, automation, and modern engineering practices to improve efficiency, scalability, and user experience. Responsibilities Define and lead the technical strategy across backend architecture, infrastructure, DevOps, and AI enabled engineering initiatives Architect scalable, secure, and high performance systems capable of supporting increasing traffic, connected device ecosystems, and future platform growth Identify opportunities to integrate AI driven solutions, automation, and intelligent tooling into both customer facing products and internal operations Lead initiatives focused on platform optimisation, reliability, observability, and operational efficiency Drive infrastructure modernization across cloud environments, CI/CD pipelines, monitoring systems, logging frameworks, and deployment automation Oversee backend services, APIs, integrations, databases, and frontend infrastructure to ensure long term scalability and maintainability Evaluate emerging technologies, frameworks, AI platforms, and engineering tools that can improve developer productivity and system performance Establish engineering standards, code quality expectations, architectural best practices, and scalable development processes Implement proactive monitoring, alerting, analytics, and AI assisted diagnostics to reduce downtime and improve system health visibility Partner cross functionally with product, engineering, and leadership teams to align technical strategy with business objectives Mentor engineers while serving as a hands‑on technical leader deeply involved in architecture and execution Drive infrastructure and cloud cost optimisation strategies while balancing scalability, reliability, and speed Qualifications 5–10 years of experience in software engineering with deep expertise in backend systems, cloud infrastructure, and scalable application architecture Strong experience with DevOps, CI/CD, automation, observability, and infrastructure reliability Proven ability to optimise application performance and architect systems designed for scale Experience evaluating or implementing AI driven tools, workflows, or platform capabilities within engineering environments Strong understanding of APIs, distributed systems, databases, frontend infrastructure, and cloud native technologies Comfortable operating in fast paced Agile environments with strong cross functional collaboration Strong leadership, communication, strategic thinking, and problem solving capabilities Bonus: experience building internal platforms, operational tools, or AI enabled systems that improve business efficiency and decision making Salary Range (commensurate with experience)

$140,000 - $160,000 USD