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Date Posted
Today
New!Remote Work Level
Hybrid Remote
Location
Hybrid Remote in Toronto, ON, Canada

Job Schedule
Full-Time
Salary
We're sorry, the employer did not include salary information for this job.
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About the Role
Title: Senior Software Engineer - Real-Time Edge & Cloud Systems
Location: Toronto ON CA
Workplace: Hybrid remote
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)
Requirements
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.
Benefits
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.