Software Engineer

## About the Role As a Software Engineer at Maneva, you will be part of a dynamic team that is revolutionizing manufacturing operations through cutting-edge AI solutions. Your role will involve the end-to-end development of AI-powered applications, working closely with cross-functional teams to ensure the seamless integration of AI capabilities into real-world industrial environments. The position requires a strong foundation in software engineering, a keen interest in AI and its applications, and excellent collaboration skills.

Day-to-day, you will design and build full-stack web applications, develop scalable backend services, and manage relational and NoSQL databases. Your work will have a direct impact on the efficiency, safety, and production capabilities of manufacturing operations, making this role both challenging and rewarding.

Maneva is committed to fostering a culture of innovation and continuous learning. As a member of the team, you will have the opportunity to work with world-class engineers and AI researchers, contributing to the development of solutions that are at the forefront of the manufacturing industry.

## What You Will Do - Design and build full-stack web applications, including user-facing dashboards and operational tooling 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 Are Looking For - Degree in Computer Science, Software Engineering, or equivalent industry experience.

• Strong frontend development skills, with 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 Have - 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).

## Benefits and Perks - The opportunity to build software powered by cutting-edge AI that runs in real factories, not just dashboards.

• Ownership of deployment-critical systems with direct customer impact.
• Collaboration with world-class engineers and AI researchers in a fast-growing startup.
• Flexible remote work arrangements, with the opportunity to work from anywhere in Canada.
• Access to cutting-edge technologies and tools.
• Professional development opportunities to enhance your skills in AI, software engineering, and cloud computing.
• Competitive compensation package, reflecting your skills and experience.
• Comprehensive health insurance and retirement savings plan.
• Generous paid time off and holidays, to ensure a healthy work-life balance.

- Tip: Ensure your portfolio highlights your proficiency in full-stack development, including examples of scalable backend services and database management.

• When applying, emphasize your experience with cloud infrastructure and containerization, as these are key skills for the role.
• To stand out, showcase projects or contributions that demonstrate your ability to integrate AI model outputs into production software.
• Prepare to discuss your approach to system reliability, uptime, and performance optimization, as these are critical aspects of the position.
• For salary negotiation, research the market average for software engineers in Canada, considering the remote aspect of the job and the specific skills required.
• Be ready to ask informed questions about the company culture, the team you'll be working with, and the opportunities for professional growth and development.