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Mecka

Database Engineer

Remote, Canada

Remote

Full-time

Apply on jobs.ashbyhq.com About employer

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Job details

Job type: Full-time
Workplace: Remote
Remote eligibility: Canada listed. Check the posting for province restrictions.
Posting language: English
Posted: Nov 13, 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.

About the role

Our database layer sits under everything Mecka ships, and it's growing quickly. We're looking for someone to own it: learn what we've built, set the plan for where it goes next, and help us scale.

As part of our Platform Engineering & Infrastructure team, you'll work hands-on with MongoDB and ClickHouse at scale and take on challenges no one has solved for us yet. We need someone who brings both speed and quality, and who wants real ownership.

What you'll do

Own the database layer: Take full ownership of Mecka's MongoDB and ClickHouse, and make the decisions that keep them healthy.
Learn it, then own it: Get a real grasp of the current setup in your first months, including a short overlap with a MongoDB engineer on contract, and take it from there.
Design the schema path: Come in with a medium- and long-term plan for schema and database design.
Plan the scale-up: Map out what 2x to 10x data growth looks like, and how we avoid outages without a ton of compute and cost.
Solve what's new: Take on the unique problems that come with scaling, and find the path forward quickly without cutting corners.

What you'll need

3+ years owning databases in a growing, fast-paced environment.
Expert in MongoDB and ClickHouse, including advanced features at scale.
You've scaled databases through rapid growth before, and you bring those lessons with you.
You can ramp up, and you're ready to own the database layer.
You move quickly, and you have a point of view on how we should scale, avoid outages and keep this sustainable.

This posting is for an existing vacancy (a newly created role).

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 take full ownership of the database layer, managing MongoDB and ClickHouse instances to ensure health and scalability. You will design schema paths and plan for significant data growth while solving complex infrastructure challenges.

Requirements

The role requires 3+ years of experience in database management within a fast-paced environment. You must be an expert in MongoDB and ClickHouse with a proven track record of scaling databases through rapid growth.

Skills

Database Engineering
MongoDB
ClickHouse
Database Scaling
Schema Design
Infrastructure Management
Data Infrastructure
Platform Engineering
System Architecture
Performance Optimization
Capacity Planning
Database Maintenance

Benefits

Equity

Visa sponsorship

Not detected in the job text

Keywords

Database Engineer
MongoDB
ClickHouse
Data Infrastructure
Robotics
Embodied AI
Platform Engineering
Infrastructure
Schema Design
Scalability
Data Capture
Data Labeling
Hardware-enabled Workflows
System Architecture
Database Scaling
Performance Tuning
Cloud Infrastructure

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