We're a handful of senior engineers, available for hire.
Senior nearshore and offshore engineers based across Brazil, the UK, and Europe. We've worked together for years, mostly on Go, AI, Node.js, React, full-stack, and CI/CD.
We're not an agency. Just a small group taking on work together.
What we do - What we build
Most of us split our time between backend systems, AI work, and the kind of full-stack glue that holds product teams together. Below is what comes up most often.
- Golang & backend. High-throughput services, microservices, and distributed systems. Several of us spend most of our time here.
- AI & LLM integration. Integrating LLMs into existing products — chat features, summarization, classification, structured extraction. We're builders, not AI researchers; we wire models into pipelines that ship.
- Node.js & React. APIs, full-stack web apps, real-time systems, and the TypeScript that holds it all together.
- Cloud & CI/CD. AWS, Terraform/CDK, deploy pipelines, observability — making sure what we build actually ships and stays up.
Where we tend to ship.
Pick a tab — these are the areas the group has the most reps in.
Golang backend
High-throughput services, microservices, distributed systems.
- Building a Go service that handles real production load — concurrency, careful memory use, and the boring observability work that keeps it running on a Sunday night.
- Breaking a monolith into a handful of services that actually make sense — not microservices for the sake of it, just where the team boundaries already exist.
AI & LLM integration
Wiring LLMs into products. Pipelines, integrations, real features.
- Adding an LLM-powered feature to an existing product — chat, summarization, classification, structured extraction — and making it reliable enough that you don't have to babysit it.
- Building the pipelines and integrations around the model: prompt management, queues, retries, cost monitoring, and the unglamorous plumbing that decides whether the feature lasts past launch week.
Node.js & TypeScript
APIs, real-time systems, server-side rendering.
- A Node API that talks to half a dozen third-party services without becoming a tangle — clear boundaries, real types, tests where they matter.
- Real-time features (chat, presence, collaborative editing) that hold up when more than ten people use them at once.
React & Next.js
Full-stack web apps, design-system work, performance.
- Next.js apps where the server / client boundary is thought through, not just whatever the tutorial happened to do.
- Picking apart a slow React app and making it fast — usually less glamorous than people expect, more about render counts and bundle splits than clever hooks.
Cloud & CI/CD
AWS, Terraform/CDK, deploy pipelines, observability.
- AWS setups that don't fall apart when someone leaves — Terraform or CDK, modular, with the boring runbook actually written down.
- Deploy pipelines that catch problems before production and roll back without a panic when they don't. Logs, traces, alerts that you'll actually look at.
Data & event streaming
Kafka, Postgres, DynamoDB, Cassandra, IoT/MQTT.
- Picking the right data store for the job (and pushing back when a NoSQL was clearly the wrong call) — Postgres, DynamoDB, Cassandra/ScyllaDB depending on the shape of the load.
- Kafka and MQTT pipelines for real-time and IoT — backpressure, retries, dead letters, the unglamorous things that decide whether the system holds up.
High-throughput services, microservices, distributed systems.
- Building a Go service that handles real production load — concurrency, careful memory use, and the boring observability work that keeps it running on a Sunday night.
- Breaking a monolith into a handful of services that actually make sense — not microservices for the sake of it, just where the team boundaries already exist.
Wiring LLMs into products. Pipelines, integrations, real features.
- Adding an LLM-powered feature to an existing product — chat, summarization, classification, structured extraction — and making it reliable enough that you don't have to babysit it.
- Building the pipelines and integrations around the model: prompt management, queues, retries, cost monitoring, and the unglamorous plumbing that decides whether the feature lasts past launch week.
APIs, real-time systems, server-side rendering.
- A Node API that talks to half a dozen third-party services without becoming a tangle — clear boundaries, real types, tests where they matter.
- Real-time features (chat, presence, collaborative editing) that hold up when more than ten people use them at once.
Full-stack web apps, design-system work, performance.
- Next.js apps where the server / client boundary is thought through, not just whatever the tutorial happened to do.
- Picking apart a slow React app and making it fast — usually less glamorous than people expect, more about render counts and bundle splits than clever hooks.
AWS, Terraform/CDK, deploy pipelines, observability.
- AWS setups that don't fall apart when someone leaves — Terraform or CDK, modular, with the boring runbook actually written down.
- Deploy pipelines that catch problems before production and roll back without a panic when they don't. Logs, traces, alerts that you'll actually look at.
Kafka, Postgres, DynamoDB, Cassandra, IoT/MQTT.
- Picking the right data store for the job (and pushing back when a NoSQL was clearly the wrong call) — Postgres, DynamoDB, Cassandra/ScyllaDB depending on the shape of the load.
- Kafka and MQTT pipelines for real-time and IoT — backpressure, retries, dead letters, the unglamorous things that decide whether the system holds up.
Frequently asked questions
Anything else? Book an intro call and ask.
How many of you are there?
A small group. We're keeping the exact number off the site on purpose — happy to walk through who's around on a call.
What stack do you work in?
Golang, Node.js, TypeScript, AI/LLMs, React, Next.js, AWS, Terraform/CDK, Serverless, Kafka, MQTT/IoT, Postgres, DynamoDB, Cassandra/ScyllaDB.
How does hiring us work?
Book a 20-minute intro call. We figure out what you need, who fits your time zone (nearshore from Brazil if you're in the US, offshore-friendly from the UK and Europe), and the shape of the engagement. You'll be talking to an engineer, not a salesperson.
How you can hire us.
Pricing depends on who, for how long, and the work. We'll scope it on the call.
Hire one of us
One senior engineer joins your team and gets to work.
- One of us, embedded in your sprint cadence
- Your stack, your tools
- Monthly engagement
- Async + sync collaboration
Hire a couple of us
Two or three of us, working together on your problem.
- We pair and review each other's work
- Faster iteration than a single engineer
- Mix of skills (e.g. backend + frontend)
- Monthly engagement
Hire most of us as a small team
The whole group, or close to it, on a focused build.
- A full small team for a focused build
- Dedicated Slack / Linear
- Quarterly engagement
- We bring our own collaboration rhythm