Backend and APIs
Node.js, TypeScript and Go services with clean REST, GraphQL and gRPC APIs.
NestJS
Fastify
Go
PostgreSQL
KafkaBackend practice
Backend development and cloud engineering
APIs, payments, integrations and data platforms in Node.js, TypeScript and Go, running on infrastructure as code with monitoring from day one.
In short
We design and build the backend that carries the business, from REST, GraphQL and gRPC APIs to subscription billing and supplier integrations. Our lead engineer built core parts of Time Doctor’s billing migration for 280K+ active users, led the backend of Wego’s real-time hotel search across 40+ suppliers, and led database scaling at Zenius for 8M+ registered users.
- Languages
- Node.js, TypeScript, Go
- Data
- PostgreSQL, MongoDB, Redis, Elasticsearch
- Cloud
- AWS, Google Cloud, Azure, DigitalOcean
- Operations
- Terraform, Docker, Datadog, Sentry
- Starts with
- 1–2 week sprint, $1k–$2k
Backend, cloud and data
The systems that carry the business. APIs, payments, integrations and data, running on cloud infrastructure with monitoring from day one.
Proven at
Time Doctor
Wego
Zenius
Exporo
Suprema
NestJSFastifyGoPostgreSQLKafkaPayments and billing
Subscriptions, provider migrations, idempotent webhooks and auditable payment state machines.
Stripe
PaddleMangoPay
XStateIntegrations and data
Partner APIs, ETL pipelines, search and large data migrations with minimal disruption.
ETL
ElasticsearchWebhooks
Redis
ElasticsearchWebhooksRedisMigrations and modernization
Legacy services and large datasets moved onto new platforms with minimal disruption.
PostgreSQL
MariaDB
SQL ServerCloud infrastructure and DevOps
AWS, Google Cloud and DigitalOcean, built with Terraform and Docker and shipped through CI/CD.
AWS
GCP
DigitalOcean
Terraform
DockerMonitoring and reliability
Datadog and Sentry dashboards, tracing, error tracking and 24/7 alerts from launch day.
Datadog
SentryELK- 1CI/CDEvery change runs tests and builds in CI before it can ship.
- 2Docker imagesServices ship as versioned images, so every environment runs the same build.
- 3TerraformInfrastructure changes are planned, reviewed and applied like code.
- 4AWS, Google Cloud, DigitalOceanChosen for the workload and budget, from serverless to Kubernetes.
- 5Datadog and SentryErrors, slow requests and outages alert the team 24/7.
Built for Time Doctor, Wego, Exporo and Zenius.
AWSGoogle CloudDigitalOceanTerraformDocker
Kubernetes- 1Instrumented from day oneAPIs, workers and apps send metrics, traces, logs and errors.
- 2DatadogDashboards and APM show latency, throughput and failures across services.
- 3SentryErrors and crashes are grouped and tied to the release that caused them.
- 4Alerts and on-callAlert rules page an engineer, and support requests get a response within 24 hours.
- 5Fix and releaseFixes ship through CI, and every release is watched the same way.
24/7 production monitoring for Time Doctor’s payment and integration services.
DatadogSentryELKTerraformWhen to call us
Signs this is the right time
- Your API or database slows down as usage grows
- You are moving billing between providers or adding a new payment rail
- Partners and suppliers need reliable integrations and webhooks
- Infrastructure is hand built and every change feels risky
- Errors reach customers before your team hears about them
Questions
Common questions
Anything else is easier to answer on a short call.
Which backend languages and frameworks do you use?
Mostly Node.js and TypeScript with NestJS, Fastify and Express, and Go where throughput and latency matter. Data sits in PostgreSQL, MongoDB, Redis and Elasticsearch, with Kafka, NATS or Pub/Sub for events.
Can you migrate our billing from Stripe to Paddle, or between other providers?
Yes. We built core parts of Time Doctor’s move from Stripe to Paddle for 280K+ active users, with idempotent webhooks and an auditable event trail. It went live in about 9 months.
Which cloud platforms do you work with?
AWS, Google Cloud, Azure and DigitalOcean. Infrastructure is written in Terraform, services ship as Docker images, and monitoring runs in Datadog and Sentry.
Can you take over and scale an existing backend?
Yes. We start with an architecture review, then fix the bottlenecks that cost you most first. At Suprema we partitioned and indexed 1TB+ of access logs and moved the backend to async processing.
Tell us what you need to build or scale.
Engagements start with a 1–2 week discovery sprint, $1,000 to $2,000. Email [email protected]