Scala is the
only thing we do.

Scala is the only thing we do. Every engineer at Scala Teams works in it exclusively, which changes what you get when something in your system gets hard. This page covers what that looks like in practice: how engagements work, what we cover technically, and who it's for.

payments-service — main
def acquire[F[_]: Sync]: F[Connection] =
  Sync[F].delay(pool.getConnection())
  // connection never released
Build status PASSED 0 errors
Memory (1h) 640MB → 2.1GB
Open connections 340 climbing
Uptime before OOM 6h 12m
[warn] connection pool exhausted after 6h 12m
payments-service — main
def acquire[F[_]: Sync]: Resource[F, Connection] =
  Resource.make(Sync[F].delay(pool.getConnection()))(
    c => Sync[F].delay(c.close())
  )
Build status PASSED 0 errors
Memory (1h) 412MB → 418MB
Open connections 12 stable
Uptime 30d+
Resources released cleanly — 0 leaks detected

Scala is all we do

Scala rewards judgment as much as syntax: knowing when to reach for Cats Effect versus ZIO, how a given effect chain behaves under real load, where a type signature is hiding a bug nobody's noticed yet. That judgment comes from doing this category of work over and over.

Every engineer at Scala Teams works in Scala, every day. Learn more about how that depth plays out in practice.

Mistakes Caught Early

Type errors and effect-system mistakes get caught in review by people who've seen the failure mode before, not discovered in production.

No Language Ramp-Up

Every engineer already thinks in Scala. Ramp-up time goes into learning your codebase, not learning the language.

Shipped Together Before

Engineers who've worked side by side on Scala systems before, building shared context project after project.

Architecture That Holds Up

Decisions on concurrency, JVM tuning, and system boundaries made by people who live in this ecosystem daily.

Two ways to work with us

Dedicated Team

Scala Teams owns delivery end to end. You set direction, we run the engineering, including the on-call rotation when something breaks.

See the full comparison →

Staff Augmentation

Our engineers slot into your team and your process. Your tech lead stays in charge, we fill the skill or capacity gap.

See the full comparison →

Scala Teams expertise

We build production-grade Scala systems using typed effects, functional architecture, and the JVM's proven runtime characteristics. If a project is deciding between Scala and something else entirely, that's a different conversation, but this is the ecosystem we live in every day.

Scala's type safety and JVM performance earn their keep hardest in systems where correctness and low latency aren't optional: fintechlarge-scale data platformsAI and ML infrastructure, and high-throughput backend systems.

Typed Functional Programming

Every engineer works across Scala 2 and Scala 3, using Cats Effect and ZIO for typed effects, async work, and resilience.

Concurrency At Scale

We build with Akka and Pekko for systems where correctness under concurrent load isn't optional.

Backend Services

Our engineers build with http4s for typed, functional HTTP services and APIs.

Data & Streaming

We work in Apache Spark and FS2 for large-scale data pipelines, drawing on the broader Typelevel ecosystem.

Industries we serve

Whatever your stack looks like within it, someone on our team has already worked in it at a senior level and can contribute without a ramp-up period.

Still hiring for that Scala role?

Tell us what you're building and what your timeline looks like. We'll tell you honestly whether we're the right fit and how fast we can get moving.

No sales pitch. Just a real conversation.