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Senior Software Engineer - Real-Time Edge & Cloud Systems

Maneva

Toronto

On-site

CAD 90,000 - 120,000

Full time

Yesterday
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Job summary

An innovative AI solutions provider in Toronto is seeking a Senior Software Engineer to design and build fault-tolerant real-time systems. The ideal candidate will have 3-7 years of experience in software engineering, strong skills in C/C++, Python, and TypeScript/React, and a passion for optimizing distributed systems. This role offers travel opportunities and collaboration with world-class engineers in a dynamic environment.

Benefits

Work with cutting-edge AI solutions
Leadership opportunities in a fast-growing company
Travel opportunities
Collaboration with industry experts

Qualifications

  • 3–7 years of software engineering experience with production deployment.
  • Proven experience designing scaled production environments in IoT systems.
  • Strong programming skills in C/C++, Python, and TypeScript/React.
  • Hands-on experience with Linux-based environments.
  • Understanding of networking and compute resources.
  • Experience with low-latency systems and embedded hardware systems.
  • Expertise in monitoring and observability frameworks.
  • Strong skills in testing and performance optimization.

Responsibilities

  • Design and implement scalable, fault-tolerant software for real-time applications.
  • Deploy and debug production systems ensuring reliability and uptime.
  • Integrate with hardware interfaces and manage data pipelines.
  • Lead the design of resilient architectures.
  • Implement real-time monitoring tools.
  • Own incident response and drive reliability improvements.
  • Contribute to CI/CD, automated testing, and QA.
  • Collaborate with AI and infrastructure teams.

Skills

C/C++
Python
TypeScript/React
Linux-based development
Networking
Storage
Compute resources
Low-latency systems
Embedded hardware systems
Monitoring frameworks
CI/CD
Debugging
Performance optimization
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.

About the Role

We’re looking for a Senior Software Engineer to design, build, and sustain high-availability, fault-tolerant real-time systems that power connected industrial environments. You’ll work across both on-premise nodes and cloud backends, ensuring robust integration between hardware interfaces, data pipelines, and production infrastructure.

This role combines deep systems engineering with hands‑on development — ideal for someone who thrives on debugging in production, optimizing low‑latency performance, and building resilient distributed architectures that never go down.

What You’ll Do
  • Design and implement scalable, maintainable, and fault‑tolerant software for real‑time industrial applications.
  • Deploy and debug production systems, ensuring reliability and uptime across edge and cloud environments.
  • Integrate with hardware interfaces and manage data pipelines across hybrid environments.
  • Lead the design of resilient architectures, including circuit breakers, retries, and failover strategies.
  • Implement real‑time monitoring, alerting, and observability tools (e.g., Prometheus, Grafana, ELK).
  • Own incident response and post‑mortem processes, driving continuous reliability improvements.
  • Contribute to CI/CD, automated testing, and system‑level QA to ensure consistent deployments.
  • Collaborate with AI, hardware, and infrastructure teams to deliver performant, deterministic systems.


Travel: Up to 15% (primarily Quebec & Ontario, with regular opportunities for U.S. travel)

What You Bring
  • 3–7 years of software engineering experience, including production deployment and debugging (not just academic or research projects).
  • Proven experience designing and implementing scaled production environments, ideally within remote real‑time or IoT systems.
  • Strong programming skills in C/C++, Python, and TypeScript/React.
  • Hands‑on experience with Linux‑based development and production environments.
  • Solid understanding of networking, storage, and compute resources in on‑prem environments (bare metal, VMs, Kubernetes clusters).
  • Experience building low‑latency, deterministic systems with strict timing constraints.
  • Familiarity with embedded hardware systems and interfacing software with hardware components.
  • Expertise in monitoring, alerting, and observability frameworks (Prometheus, Grafana, ELK stack).
  • Strong skills in testing, CI/CD pipelines, debugging, and performance optimization.

Why Join Maneva?

  • Work with cutting‑edge Vision AI & IoT solutions that power autonomous manufacturing, robotics, and industrial automation.
  • Opportunity to lead in a fast‑growing AI company driving real‑world impact in industrial AI adoption.
  • Travel opportunities to customer sites across Quebec, Ontario, and the U.S., as well as industry events and conferences.
  • Collaborate with world‑class engineers, AI researchers, and customer success professionals in a dynamic, innovation‑driven environment.

Important Notice: Protecting Your Personal Information

We are committed to ensuring the security and privacy of all applicants. Please be aware that our company will never ask for sensitive personal information, via email, phone call or text message. We also do not require payment from applicants for any part of the hiring process.

If you are contacted by someone claiming to represent our company and asking for such information, please do not respond. Instead, report the incident to us immediately at IT-Security@Maneva.ai.

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