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Software Engineer at Maneva. About Maneva . Maneva, a startup founded by an ex-Google Deepmind researcher, is an AI service provider revolutionizing manufacturing operations with cutting-edge AI solutions for autonomous factory operation and optimization. Our solution generates AI-powered actions and insights using off-the-shelf hardware or existing vision systems for real-impact manufacturing problems in products and equipment inspection, production efficiency, safety, and more. . What You'll Do . As a Software Engineer at Maneva, you will own the end-to-end development of AI-powered applications that serve our customers across frontend, backend, database, and cloud layers. You'll work closely with ML, Deployment, and Systems Design teams to build robust, scalable, and user-facing software that brings our AI capabilities to life in real-world industrial environments.. Key Responsibilities . Design and build full-stack web applications, including user-facing dashboards, operational tooling, and controls for deployed AI systems. Develop and maintain scalable backend services and REST APIs supporting real-time vision and AI workflows. Design and manage relational and/or NoSQL databases, including schema design, query optimization, and data integrity. Deploy and operate cloud infrastructure (AWS, GCP, or Azure), including compute, storage, networking, and managed services. Build and maintain CI/CD pipelines, containerized services (Docker/Kubernetes), and deployment automation. Collaborate with ML and Deployment teams to integrate AI model outputs into production software. Implement monitoring, logging, and observability across the full stack to ensure system reliability and uptime. Optimize application performance across frontend responsiveness, API throughput, and database efficiency. Support edge device fleet visibility, including health monitoring and deployment status across customer sites. Document architecture decisions, APIs, and deployment processes. What We're Looking For . Must-Haves . Degree in Computer Science, Software Engineering, or equivalent industry experience. Strong frontend development skills — proficiency in React, TypeScript, and modern CSS/UI frameworks. Solid backend development experience in Python, Node.js, or equivalent, with a track record of building production APIs and services. Hands-on experience with relational databases (PostgreSQL, MySQL) and/or NoSQL databases (MongoDB, Redis), including schema design and query optimization. Experience deploying and operating cloud infrastructure on AWS, GCP, or Azure (compute, storage, networking, managed services). Familiarity with containerization and orchestration tools: Docker, Kubernetes. Experience with CI/CD pipelines and DevOps practices: automated testing, configuration management, versioned releases. Ability to own features end-to-end, from UI to database, with strong debugging skills across the full stack. Strong collaboration skills across ML, deployment, and customer-facing teams. Willingness to travel to customer deployments in Canada and the United States as needed. Nice-to-Haves . Experience with real-time systems, WebSockets, or streaming data pipelines. Familiarity with edge computing environments and Linux-based systems. Exposure to computer vision libraries such as OpenCV or integration with ML inference services. Experience supporting industrial or manufacturing software deployments. Knowledge of observability tooling (Datadog, Grafana, Prometheus). Background in startup or fast-paced product environments. Company Location: Canada.