Software Engineer, Annotation Systems

🔥 0 minutes ago

🇨🇦 Canada – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Obvio

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🏛️ Government

☁️ SaaS

Artificial Intelligence • Government • SaaS

Obvio is a traffic-safety technology company that uses context-aware artificial intelligence to help cities and law enforcement track reckless driving, educate drivers, and enforce traffic laws. Their mission is to curb reckless driving and reduce crashes by detecting behaviors such as school zone violations, failure to yield, distracted driving, and stop sign violations. Obvio positions its product as a city-focused solution trusted by municipal police chiefs and town managers to reduce violations and improve roadway safety.

📋 Description

• Design and build distributed systems supporting high-throughput data review and annotation pipelines • Build systems prioritizing performance and reliability under real-world load • Apply security and privacy practices, including fine-grained access control, secure data handling, and auditable workflows • Translate cross-functional requirements into clean APIs and backend abstractions • Collaborate with product, ML, and operations teams to streamline efficiency and feedback loops • Participate in design reviews and contribute to architectural decisions • Write clean, well-tested, maintainable code • Provide thoughtful code review feedback to peers

🎯 Requirements

• 3–5 years of backend engineering experience • Experience building and maintaining production distributed systems • Operational practices including observability, alerting, and failure recovery • Working knowledge of security principles, including least privilege and secure transport/storage • Ability to translate reasonably well-scoped requirements into solid designs and interfaces • Familiarity with human-in-the-loop systems, labeling tools, or ML data pipelines is a bonus • Experience working in a fast-paced startup environment is a bonus • Must be legally authorized to work in the United States

🏖️ Benefits

• Competitive compensation • Early-stage equity • Meaningful ownership • Opportunity to grow quickly and work closely with senior engineers