Full-Stack Software Engineer

Maneva • Toronto, Ontario, Canada

No Relocation

Posted: March 25, 2026

Job Description

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.

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 gener...

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

Additional Content