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Backend & Platform

Backend & API Engineering

Fast APIs, clean data models, and systems built to be extended — not rewritten in 18 months.

12

Stack tools

11

Deliverables

Production

Focus

Focus

Backend & Platform

Production-ready delivery

Tech

GoGinFastAPIPydanticPostgreSQLMongoDBDynamoDBRedisNeo4jApache AGEpgvectorAlembic

What we build

REST APIs (FastAPI, Go/Gin) with OpenAPI specs
GraphQL APIs with nested resolvers and dataloader batching
gRPC services for internal microservice communication
Async task queues and background job processing
Webhook systems — reliable delivery with retries, dead-letter queues, signature verification
Rate limiting, API key management, and quota enforcement
JWT, OAuth 2.0, and SAML 2.0 authentication
Database design — PostgreSQL, MongoDB, DynamoDB, Redis — schema, indexes, migrations
Vector database setup (pgvector, Qdrant, Weaviate) for AI workloads
Graph database modelling (Neo4j, Apache AGE) for relationship-heavy data
Query optimisation, connection pooling, zero-downtime migrations

Technology stack

GoGinFastAPIPydanticPostgreSQLMongoDBDynamoDBRedisNeo4jApache AGEpgvectorAlembic

Delivery

Production API with OpenAPI docs, test suite, and a Postman/Bruno collection.

Next step

Need this service scoped for your project?

We can map the implementation, estimate the work, and show where the technical risk sits before you commit.