Staff Engineer / Tech Lead — Real-Time Trading Data

Learn more at https://betstamp.com/careers

You'll take technical ownership of our real-time data platform — a Go monorepo with 100+ source integrations, a Redis Streams and ClickHouse pipeline, and the API and web app that deliver line movement, edge, and expected value at sub-second refresh. This is a senior role for someone who wants their hands in the code and their judgment on the architecture: roughly half technical leadership (direction, review, mentoring, planning), half building.

AI is central to how we expect the team to operate. You'll use AI tools heavily in your own work, set the standard for the team, and continually evaluate how new capabilities can improve our development process and products.

Architecture: Decide what gets built, improved, or retired across the monorepo, pro.betstamp.com, and supporting services.

Hands-on delivery: Ship code regularly, including the work that requires senior judgment — complex migrations, production incidents, irreversible changes.

Technical mentoring: Review code, raise the bar, and help develop the engineers around you.

AI-enabled engineering: Improve team output without lowering the bar for correctness, security, or maintainability.

Production reliability: Uptime, alerting, incident response, and the operational practices behind a feed people trade on.

Planning: Scope work, set timelines, communicate tradeoffs to technical and non-technical stakeholders.

Go 1.25 monorepo

PostgreSQL 18, Atlas, and ClickHouse

Redis/Dragonfly, Redis Streams, and RabbitMQ

Kubernetes, Docker, and GitHub Actions

Prometheus and Grafana

React 19, Vite, TypeScript, and Tailwind

Playwright, gRPC, and rotating proxy infrastructure

Several years building and operating production backend systems

Strong experience with a typed, compiled language

Experience owning critical systems and responding to production incidents

Technical leadership experience — as a lead, staff engineer, or the person everyone actually asked

Heavy, practical use of AI coding tools, combined with strong technical judgment

Strong current coding and code-review skills

Ability to scope work, set timelines, and communicate when plans change

Based in Toronto or willing to relocate

Go experience isn't required, but you should become productive in it quickly and be able to review it confidently within a few months.

Experience with Go, Kubernetes, ClickHouse, or high-throughput streaming systems

Experience with odds, market data, trading systems, or other real-time financial products

Experience owning the full technical stack at a small company

Experience with scraping at scale, including anti-bot systems, proxy rotation, or browser automation

Experience building products or internal workflows with LLM APIs

Competitive salary & raises — share in the upside you build

Autonomy & influence — real scope early, not tickets

Gear & learning stipend, plus free rein testing and spending on the AI tools of the future

World-class betting tools — the same tools professional bettors pay for, free

Sports-centric culture — team watch parties, office prop pools, and the inside scoop on sharp bets

45-min intro call — meet the team, swap questions

Lightweight take-home (under 2 hours) — a real problem from this codebase, not a LeetCode exercise

Systems design interview — a real architecture problem together, no whiteboard algorithms

Final interview — meet the founders, hear the vision for the role

Offer → onboarding → shipping