Jobs in Manitoba

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Data & Infrastructure Engineer
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Remote, Canada
- $150,000 to $185,000 CAD / year
- Full-time
- Remote
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Mecka

Data & Infrastructure Engineer

Remote, Canada

Remote

$150,000 to $185,000 CAD / year · Full-time

Apply on jobs.ashbyhq.com About employer

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Job details

Pay: $150,000 to $185,000 CAD / year
Job type: Full-time
Workplace: Remote
Remote eligibility: Canada listed. Check the posting for province restrictions.
Posting language: English
Posted: Nov 11, 2026

Original job description

About Mecka AI

Mecka AI is building the data infrastructure layer for robotics and embodied AI. We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems. We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.

The role

Every hour our operators work produces hours of synchronized video, robot state, and actions, and that data is a core product. You'll own the path from robot site to a searchable, trustworthy dataset that our researchers train on and our customers buy. You'll also run the infrastructure that keeps a growing, geographically spread fleet updated, monitored, and healthy.

What you'll do

Own data storage and lifecycle: ingest from sites, object storage layout, retention, tiering, and cost.
Build the catalog: episode metadata, task labels, operator and robot info, quality flags, and search, so anyone can find "all successful pick-and-place episodes on arm model X last month."
Build automated quality checks: dropped frames, sync drift, missing streams, failed or truncated episodes.
Build dataset export and delivery: convert raw episodes into the formats training teams and customers expect, with versioning and provenance.
Handle data governance: access control, customer and site data agreements, privacy (faces, sensitive scenes on site), and audit trails for data we sell.
Run fleet infrastructure: provisioning edge machines at sites, remote software deploys and rollbacks, secrets, VPN/connectivity, monitoring, and alerting.
Keep cloud costs and bandwidth under control as data volume grows.
Build dashboards to monitor data collection status and progress

What we're looking for

4+ years as a data, platform, or infrastructure engineer owning production systems end to end.
Experience with large unstructured data (video, sensor logs, images) in object storage, not only tabular warehouses.
Strong Python and SQL; comfortable with infrastructure-as-code, containers, and CI/CD.
You've built pipelines with real failure handling: retries, idempotency, backfills, and monitoring.

Nice to have

Experience with robotics or autonomous-vehicle data, or ML training data pipelines.
Edge fleet management: deploying to many remote Linux devices on unreliable networks.
Experience packaging and delivering datasets to external customers.
Familiarity with data privacy rules across multiple countries.

If you don't check every box above but believe you can do the job, we encourage you to apply - we're looking for capability and trajectory, not a perfect checklist match.

We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, we will partner with you to meet your needs.

We may use AI-assisted tools to help evaluate applications against the requirements of this role. These tools support our recruiting team in identifying qualified candidates but do not replace human judgment or limit which applications may be reviewed or considered.

Apply on jobs.ashbyhq.com About employer

More about this job

Responsibilities

You will own the end-to-end data lifecycle, from ingestion and storage to cataloging and delivery for robotics training. Additionally, you will manage the infrastructure for a geographically distributed fleet of edge devices, ensuring system health and connectivity.

Requirements

Candidates should have 4+ years of experience in data, platform, or infrastructure engineering with a focus on large unstructured datasets. Proficiency in Python, SQL, and infrastructure-as-code is required, along with experience in building robust, scalable production pipelines.

Skills

Python
SQL
Infrastructure-as-code
Containers
CI/CD
Data storage
Data lifecycle management
Object storage
Fleet management
Linux
Data governance
Cloud infrastructure
Monitoring
Alerting
Data pipelines

Benefits

Equity
Health and wellness benefits

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Infrastructure Engineering
Robotics
Embodied AI
Python
SQL
Object Storage
CI/CD
Containers
Infrastructure-as-code
Fleet Management
Linux
Data Governance
Cloud Computing
Data Pipelines
Sensor Logs
Metadata
Edge Computing
VPN
Monitoring
Alerting
Data Privacy
Version Control
Provenance
Automation
Scalability
Unstructured Data
Machine Learning
Hardware-enabled workflows
System Architecture

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Jobs in Manitoba