Software Engineer

Build and run the real-time data, infrastructure and AI products CLR3 operates in production, and ship client systems alongside a small senior team.

CLR3 is a software consulting, advisory and product development company. We build production systems for clients and we run our own products (eeze, NoLimitNodes, datastore, HyperliquidRPC, OpenInfra, RobinhoodRPC and swqos) on infrastructure we own and operate.

We are growing our Toronto engineering team. You will work directly with the founders and senior engineers on systems where latency, throughput and reliability matter: streaming pipelines, RPC infrastructure, data platforms and the products built on top of them.

What you will do

Design, build and ship backend services, APIs and data pipelines that run in production

Work on real-time, high-throughput systems: streaming, decoding, storage and query layers

Own what you build, including monitoring, on-call, performance and cost

Contribute to client engagements alongside senior CLR3 engineers

Take part in architecture decisions, code review and technical planning

Improve developer tooling, CI/CD and the reliability of our platforms

Write clear documentation and design notes that others can build on

What we are looking for

Strong programming skills in at least one backend language (Go, Rust, TypeScript, Python or similar) and a willingness to learn others

Experience building and running APIs and services in production

Working knowledge of databases, queues or streaming systems, and of testing

Solid fundamentals in data structures, concurrency and system design

Clear written and spoken communication, and comfort working directly with clients

Able to work from our Toronto office part of the week

Nice to have

Experience with distributed, event-driven or low-latency systems

Familiarity with gRPC, Kafka, NATS or similar messaging systems

Experience with Solana, Hyperliquid or other blockchain data and infrastructure

Hands-on time with Kubernetes, bare-metal or cloud infrastructure, and observability tooling

Experience shipping AI-enabled product features

Open-source contributions or a technical blog

Who you are

You like building things and seeing them run

You take ownership without waiting to be told

You care more about solving the problem than about which language you use

You ask questions early and share what you learn

You are comfortable being on call for the systems you build

How we hire

1 Intro call with an engineer, about 30 minutes

2 Short take-home assignment, scoped to around two hours

3 Technical conversation about your assignment and past work

4 Conversation with the founders

5 Offer

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