Database Engineer
- Remote, Canada
Remote
Full-time
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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
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.
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
Categories
- Technology
- Data & Analytics
- Software
- Engineering
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