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 doDesign, build and ship backend services, APIs and data pipelines that run in productionWork on real-time, high-throughput systems: streaming, decoding, storage and query layersOwn what you build, including monitoring, on-call, performance and costContribute to client engagements alongside senior CLR3 engineersTake part in architecture decisions, code review and technical planningImprove developer tooling, CI/CD and the reliability of our platformsWrite clear documentation and design notes that others can build on
What we are looking forStrong programming skills in at least one backend language (Go, Rust, TypeScript, Python or similar) and a willingness to learn othersExperience building and running APIs and services in productionWorking knowledge of databases, queues or streaming systems, and of testingSolid fundamentals in data structures, concurrency and system designClear written and spoken communication, and comfort working directly with clientsAble to work from our Toronto office part of the week
Nice to haveExperience with distributed, event-driven or low-latency systemsFamiliarity with gRPC, Kafka, NATS or similar messaging systemsExperience with Solana, Hyperliquid or other blockchain data and infrastructureHands-on time with Kubernetes, bare-metal or cloud infrastructure, and observability toolingExperience shipping AI-enabled product featuresOpen-source contributions or a technical blog
Who you areYou like building things and seeing them runYou take ownership without waiting to be toldYou care more about solving the problem than about which language you useYou ask questions early and share what you learnYou are comfortable being on call for the systems you build
How we hire1 Intro call with an engineer, about 30 minutes2 Short take-home assignment, scoped to around two hours3 Technical conversation about your assignment and past work4 Conversation with the founders5 Offer
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