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 in Toronto (Hybrid)

Lead AWS networking, storage, and infrastructure for Mecka’s robotics data platform. Improve secure, reliable data movement and cloud operations for global AI workflows.

Description

  • Design, build, and operate Mecka’s AWS networking, storage, and IAM infrastructure
  • Build and maintain VPCs, subnets, routing, Transit Gateway, VPN or Direct Connect, DNS, and load balancing
  • Design and optimize S3-based storage for petabyte-scale video and sensor data
  • Increase the speed and consistency of data transfers from capture sites to customer datasets
  • Manage infrastructure as code through CI/CD pipelines
  • Support monitoring, alerting, on-call operations, incident response, and postmortems
  • Identify and implement savings across storage and data-transfer costs
  • Participate in infrastructure and system design reviews
  • Mentor fellow engineers on the team
  • Collaborate with machine learning, computer vision, and data teams

Requirements

  • At least six years of experience in infrastructure, platform, or cloud engineering
  • Experience building and operating production AWS environments at meaningful scale
  • Advanced AWS networking knowledge covering VPC design, 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 at scale, lifecycle policies, storage classes, replication, and performance tuning
  • Strong infrastructure-as-code experience, preferably with Terraform
  • Experience owning CI/CD systems and processes
  • Solid IAM and security fundamentals, including least-privilege access, 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
  • Authorization to work in the location where the role is posted

Benefits

  • Equity participation
  • Health and wellness benefits
  • Additional company programs
  • Inclusive and supportive candidate experience
  • Accommodations throughout the interview process
  • Equal treatment and opportunity in recruitment, selection, and employment

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