Maneva

Software Engineer

Maneva

full-time

Posted on:

Location Type: Remote

Location: Canada

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Tech Stack

CloudDockerGrafanaKubernetesLinuxPrometheusPythonReactTypeScript

About the role

  • Focus on building, deploying, and supporting AI software systems that power customer-facing deployments
  • Work closely with Deployment Engineers, Systems Design, ML, and Infrastructure teams
  • Develop and maintain deployment-ready software stacks
  • Implement custom modules or services required for specific customer applications
  • Ensure systems meet performance, reliability, and operational requirements across edge and cloud environments

Requirements

  • Degree in Computer Science, Software Engineering, or equivalent industry experience
  • Strong experience supporting production software deployments and feature development
  • Experience with cloud and/or edge infrastructure, including Linux-based systems
  • Solid backend development skills in Python, C/C++, or equivalent
  • Experience with implementing image processing and computer vision applications with tools such as OpenCV
  • Familiarity with DevOps practices: CI/CD, containerization, configuration management
  • Ability to debug issues across application code, infrastructure, and runtime environments
  • Strong collaboration skills with hardware, deployment, and customer-facing teams
  • Willingness to travel to customer deployments in Canada and the United States as needed
  • Full-stack or frontend web development experience, particularly with TypeScript and React, to support user interfaces and operational tools for deployed AI applications
  • Prior experience working with fault-tolerant edge AI systems in production environments
  • Experience with edge fleet management, including device provisioning, lifecycle management, health monitoring, and remote updates
  • Familiarity with tracking edge device activities, telemetry, logs, and operational metrics across distributed deployments
  • Experience deploying and maintaining software on distributed, intermittently connected, or resource-constrained edge devices
  • Experience with real-time systems or low-latency applications
  • Expertise in inference optimization (model serving, performance tuning, hardware acceleration)
  • Familiarity with Docker, Kubernetes, or lightweight orchestration at the edge
  • Exposure to monitoring and observability tools (Prometheus, Grafana, ELK, etc.)
  • Experience working in industrial, robotics, or manufacturing environments
  • Prior work in startup or fast-paced customer-facing engineering teams
Benefits
  • Build software powered by cutting-edge AI that runs in real factories, not just dashboards
  • Own deployment-critical systems with direct customer impact
  • Work across edge, cloud, and real-time AI systems
  • Collaborate with world-class engineers and AI researchers in a fast-growing startup
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonC/C++OpenCVCI/CDcontainerizationconfiguration managementTypeScriptReactinference optimizationreal-time systems
Soft Skills
collaborationdebuggingproblem-solvingcommunicationadaptabilitycustomer-facingteamworkwillingness to travelorganizational skillsattention to detail