Publié il y a 2 heures
Database Engineer
@ Mecka
Richmond Hill, Ontario
En bref
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.
Salaire :
160 000 $–195 000 $ par année
Responsabilités :
- 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
Résumé des exigences :
- 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
Outils et compétences
Source et dates
Site carrière / système de candidatures · ashby
- Date publiée par l’employeur
- 2026-11-13
- Première détection par notre source
- 2026-11-13
- Mise à jour du dossier source
- 2026-11-13
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Intermédiaire |
| Domaine | Développement logiciel |
| Expérience | 3 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Mecka
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
Data Layer for AI Robotics
Description complète de l’entreprise
Mecka create large scale human data for AI and robotics training
- Abonnés LinkedIn
- 980
- Personnes associées sur LinkedIn
- 38
- Catégories d’activité
- Robotics
- Analytics
- Artificial Intelligence (AI)
- Autres noms enregistrés
- Mecka
- Mecka AI
- Spécialités
- Robotics
- Artificial Intelligence
- and Data
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 68 000 000
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
Mecka create large scale human data for AI and robotics training
| Champ | Valeur |
|---|---|
| Secteur | Data Infrastructure and Analytics |
| Taille | 2-10 employees |
| Type d’organisation | Privately Held |
| Spécialités | RoboticsArtificial Intelligenceand Data |
| Offres sur Jobsy | 35 |
| Voir la 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.
Journal
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