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Вакансия опубликована 8 дн. назад - шансы на ответ снижаются.

9 дней назад

Software Development Engineer, Cloud Platform (AI)

150 000 - 190 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний

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Текст:
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TL;DR
Software Development Engineer, Cloud Platform (AI): Building secure cloud infrastructure for deploying, monitoring, and supporting AI vision software on customer robotic devices with an accent on connectivity, enterprise access control, and reliable device fleet management. Focus on designing secure device channels, migrating deployment systems to AWS, implementing RBAC and multi-tenant accounts, and connecting field telemetry with data pipelines for debugging and model training.

Location: Vancouver, British Columbia, Canada; on-site

Salary: $150,000–$190,000 per year

Company

Apera AI develops robotics, AI, and machine vision products that help manufacturers automate bin picking, sorting, packaging, and assembly.

What you will do

  • Build a secure connectivity layer for deployed robotic devices to support software deployment, telemetry, and customer support.
  • Design enterprise-scale account, permissions, authentication, authorization, and multi-tenant access models.
  • Move deployment and device-fleet infrastructure from on-premise hardware to the cloud, including versioning, distribution, authorization, and role-based access control.
  • Build data paths from field devices into internal systems for triage, labelling, debugging, and model training.
  • Implement infrastructure cost attribution, data lifecycle policies, development and production separation, and capacity planning.
  • Turn internal tools into documented, authenticated products with status tracking and failure alerts.

Requirements

  • 5+ years of production experience building backend or platform infrastructure with ownership of systems used by other engineers.
  • Strong cloud experience, preferably AWS, and fluency with infrastructure as code.
  • Practical experience with VPNs, tunnelling, NAT traversal, certificates, identity management, and secure enterprise connectivity.
  • Experience with authentication, authorization, and multi-tenant account models where access-control errors can affect physical systems.
  • Experience operating under SOC 2, ISO 27001, TISAX, or a similar compliance framework.
  • Python fluency, experience with job orchestration or data pipelines, and strong observability and cost-management skills.

Nice to have

  • Experience managing edge or embedded-device fleets, air-gapped or disconnected deployments, or containerized delivery to customer hardware.
  • Previous experience in robotics, manufacturing, or another industrial environment.

Culture & Benefits

  • High-ownership role with significant influence over architecture, sequencing, and roadmap decisions.
  • Generous stock option program.
  • Company-paid extended health and dental coverage.
  • Career growth in a fast-growing AI and robotics company.
  • Exposure to global manufacturing leaders and projects spanning cloud infrastructure, device connectivity, security, and data platforms.

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