Posted 2 hours ago
Database Engineer
@ Mecka
Richmond Hill, Ontario
Overview
Mecka is hiring a Database Engineer to own its MongoDB and ClickHouse database layer that supports robotics and embodied AI data infrastructure. The role covers learning the current setup, designing schema and scale-up plans, and solving scaling problems. The posting asks for 3+ years owning databases in fast-growing environments and is a full-time position.
Pay:
$160,000–$195,000 a year
Responsibilities:
- Own MongoDB and ClickHouse databases
- Plan schema design over medium and long term
- Map 2x to 10x data growth and prevent outages
- Solve unique scaling problems quickly
Requirements summary:
- 3+ years owning databases in fast-paced growing environments
- Expert in MongoDB and ClickHouse, including advanced features at scale
- Experience scaling databases through rapid growth
- Ability to ramp up quickly and move fast
Tools & skills
Source and dates
Employer career site / ATS feed · ashby
- Employer posting date
- 2026-11-13
- First seen by our source
- 2026-11-13
- Source record updated
- 2026-11-13
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Mid level |
| Department | Software development |
| Experience | 3+ years |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Mecka
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Data Layer for AI Robotics
Full company description
Mecka create large scale human data for AI and robotics training
- LinkedIn followers
- 980
- People associated on LinkedIn
- 38
- Business categories
- Robotics
- Analytics
- Artificial Intelligence (AI)
- Other recorded names
- Mecka
- Mecka AI
- Specialties
- Robotics
- Artificial Intelligence
- and Data
- Profile identifies a recruitment agency
- No
- Reported total investment
- 68,000,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Mecka create large scale human data for AI and robotics training
| Field | Value |
|---|---|
| Industry | Data Infrastructure and Analytics |
| Company size | 2-10 employees |
| Organization type | Privately Held |
| Specialties | RoboticsArtificial Intelligenceand Data |
| Open jobs on Jobsy | 35 |
| View page |
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.
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