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Software Engineer

2 hours, 53 minutes ago
Canada
Full-time
Mid Level
Software Engineer
Software Development
AWS Azure Computer Vision CSS Datadog Docker GCP Grafana Kubernetes Linux Machine Learning MongoDB MySQL Node.js OpenCV PostgreSQL Prometheus Python React Redis REST API TypeScript WebSockets
Apply Now

Maneva

Maneva builds Video-to-Action AI for manufacturing and factory operations. Its platform analyzes video feeds to help factories improve quality assurance, reduce downtime, increase productivity efficiency, and support health and safety through real-time actions.

Automation Machinery Manufacturing
11-50
Founded 2022
$10M raised
View All Jobs 3

Description

  • Design and build full-stack web applications, including customer dashboards, operational tooling, and controls for deployed AI systems.
  • Develop and maintain scalable backend services and REST APIs for real-time vision and AI workflows.
  • Design, manage, and optimize relational and/or NoSQL databases, including schema design and data integrity.
  • Deploy and operate cloud infrastructure on AWS, GCP, or Azure, including compute, storage, networking, and managed services.
  • Build and maintain CI/CD pipelines, containerized services, and deployment automation.
  • Collaborate with ML and Deployment teams to integrate AI model outputs into production software.
  • Implement monitoring, logging, and observability across the stack to ensure reliability and uptime.
  • Optimize application performance across the frontend, APIs, and databases.
  • Support edge device fleet visibility, including health monitoring and deployment status across customer sites.
  • Document architecture decisions, APIs, and deployment processes.

Requirements

  • Degree in Computer Science, Software Engineering, or equivalent industry experience.
  • Strong frontend development skills with React, TypeScript, and modern CSS/UI frameworks.
  • Solid backend development experience in Python, Node.js, or equivalent, with experience building production APIs and services.
  • Hands-on experience with relational databases such as PostgreSQL or MySQL and/or NoSQL databases such as MongoDB or Redis.
  • Experience deploying and operating cloud infrastructure on AWS, GCP, or Azure.
  • Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
  • Experience with CI/CD pipelines and DevOps practices, including automated testing, configuration management, and 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.
  • Experience with real-time systems, WebSockets, or streaming data pipelines is a plus.
  • Familiarity with edge computing environments and Linux-based systems is a plus.
  • Exposure to computer vision libraries such as OpenCV or integration with ML inference services is a plus.
  • Experience supporting industrial or manufacturing software deployments is a plus.
  • Knowledge of observability tools such as Datadog, Grafana, or Prometheus is a plus.
  • Background in a startup or fast-paced product environment is a plus.

Benefits

  • Opportunity to build software powered by cutting-edge AI that runs in real factories.
  • Ownership of deployment-critical systems with direct customer impact.
  • Work across edge, cloud, and real-time AI systems.
  • Collaboration with world-class engineers and AI researchers in a fast-growing startup.

Interested in this position?

Apply directly on the company website

Apply Now

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