Mecka
Mecka

Mecka builds infrastructure for Physical AI, helping robotics and embodied-AI teams turn real-world human activity into systems that can learn, be evaluated, and operate reliably outside the lab. Its Egoverse platform combines large-scale egocentric datasets with telemetry across vision, depth, tactile sensing, motion, and localization.

Through developer tools, APIs, and enterprise services, Mecka supports the evaluation and deployment of task-specific robotic systems. The company works with hardware OEMs, model developers, and commercial partners, providing the data and operational layer for robotics without manufacturing robots itself.

Senior Cloud Infrastructure Engineer (Hybrid, Canada)

Lead AWS networking, storage, security, and reliability for Mecka’s robotics and embodied AI data infrastructure. Optimize large-scale data movement and cloud costs while partnering across engineering teams.

Description

  • Own the design, delivery, and operation of AWS networking, storage, and IAM infrastructure
  • Build and maintain VPCs, subnets, routing, Transit Gateway, VPN or Direct Connect, DNS, and load-balancing systems
  • Design and optimize S3 and related storage for petabyte-scale video and sensor datasets
  • Improve data pipelines from capture locations through customer dataset delivery
  • Maintain infrastructure as code and its supporting CI/CD workflows
  • Operate monitoring, alerting, on-call support, incident response, and postmortem processes
  • Find and implement savings across storage and data-transfer costs
  • Participate in infrastructure and systems design reviews
  • Coach and support fellow engineers
  • Partner with machine learning, computer vision, and data teams

Requirements

  • At least six years of experience in infrastructure, platform, or cloud engineering
  • Background building and operating production AWS environments at meaningful scale
  • Advanced AWS networking knowledge spanning VPC architecture, routing, Transit Gateway or peering, VPN or Direct Connect, Route 53, load balancing, and connectivity troubleshooting
  • Practical experience designing and operating large AWS storage systems, including S3, lifecycle policies, storage classes, replication, and performance optimization
  • Strong infrastructure-as-code experience, preferably with Terraform
  • Experience owning CI/CD systems and processes
  • Understanding of IAM and security practices, including least privilege, encryption, network segmentation, and audit readiness
  • Proficiency in Python, Go, or a comparable automation and tooling language
  • AWS certifications are helpful but do not replace production experience
  • Ability to work in the posted location and hold authorization to work there

Benefits

  • Equity participation
  • Health and wellness coverage
  • Inclusive, supportive candidate experience
  • Interview accommodations are available
  • Equal treatment and opportunity throughout recruitment, selection, and employment

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