Hire MongoDB developers in 48 hours.
MongoDB works best when the document model genuinely fits the data shape. Our engineers design schemas that play to MongoDB's strengths, write efficient aggregation pipelines, and know when a different database is a better choice.
- 48h
- 4–8y
- Full-time
- Replace
What our MongoDB engineers deliver.
Document-first data models
Schema design for flexible, hierarchical data — product catalogs, CMS content, user profiles.
Aggregation pipelines
Complex reporting and analytics queries using the aggregation framework.
Atlas Search integration
Full-text and vector search using MongoDB Atlas Search and Vector Search.
Real-time features
Change streams for event-driven architectures and real-time notifications.
Work our MongoDB team has shipped.
Product catalog and inventory service for a marketplace with 3M SKUs
Sub-50ms search across 3M documents, zero schema migrations needed
Time-series sensor data ingestion and dashboard for a smart building platform
Ingests 2M events/hour with 12-month hot data retention
CMS content model and aggregation layer for a multi-brand publisher
Supports 15 brands from one cluster, editorial team onboarded in a week
Engineers you'll work with.
Representative profiles from our MongoDB pool. Every engineer is CTO-reviewed before being presented to a client.
- Designed a sharded MongoDB Atlas cluster for a high-write IoT platform — 1B+ documents, no schema rewrites
- Built an Atlas Vector Search semantic search feature for a content platform, replacing a costly Elasticsearch cluster
- Led a team of 6 to migrate a legacy monolith to microservices — zero-downtime over 4 months
- Cut TTFB by 60% on a MongoDB platform serving 500k MAU via caching and code-splitting
* Representative composites. We send you 3 real profiles with CVs and GitHub within 24h of your request.
20+ years shipping production software. Built Kuyil AI (our AI assistant platform) and Garuda (clinic management SaaS) — along with 500+ client projects across SaaS, HealthTech, FinTech, Logistics and eCommerce.
Personally reviews every engagement’s first sprint: architecture, code quality, delivery discipline. Not a sales handoff. The CTO stays in the room.
Demonstrating Kuyil AI · Dubai Tech Summit
Tell us what you need. We send you 3 hand-picked MongoDB profiles within 24 hours.
No commitment until you choose to onboard. Interview and test before you decide.
- 1Tell us your requirementsStack specifics, seniority, timezone needs, and what you're building with MongoDB.
- 23 profiles within 24hHand-picked engineers matched to your requirements — with CVs, GitHub profiles and sample work.
- 3Interview & testTechnical interview and optional paid test sprint before any commitment.
- 4Onboarded in 7 daysInto your standups, repos and sprint structure.
- ✓ No sales pressure✓ Reply in 24h✓ NDA available
The three pillars our pods plug into.
Hire engineers in adjacent stacks.
Frequently asked questions
Can I interview developers before hiring?
Absolutely. You interview, optionally run a paid test sprint, and only commit when you're satisfied. No pressure.
What pricing models do you offer for MongoDB engineers?
Monthly retainer for ongoing work, starting at $10k/month for a single senior engineer. Hourly for short engagements. Fixed-price for project-scoped work.
What tools do your MongoDB developers use?
Jira, GitHub, GitLab, Linear, Slack, Notion — we adapt to your stack, not the other way around.
Are developers full-time on our project?
Yes — dedicated full-time, not shared across clients.
Can we scale up or down?
Scale up with new engineers onboarded in 48h. Scale down with two weeks notice. No contractual lock-in.
When should I use MongoDB vs PostgreSQL?
MongoDB works well for flexible document shapes, high write throughput and horizontal scaling. PostgreSQL is usually better for relational data, complex queries and ACID transactions. We'll advise on the right choice — we aren't biased toward either.
Do you work with MongoDB Atlas?
Yes — Atlas is our default deployment target for MongoDB. We configure replication, backups, Atlas Search, and performance monitoring.