Head of Engineering (Real-Time Data Platform)

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

Betstamp tracks odds from sportsbooks, exchanges, and prediction markets in real time. Our Go monorepo, Redis Streams and ClickHouse pipeline, API, and web app calculate and deliver line movement, edge, and expected value to bettors.

This role owns that engineering surface. You'll set technical direction, lead the team, and remain hands-on in the code. You'll also work directly with management to turn business and product priorities into scoped engineering work and report on progress and risks.

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

Technical direction: Set architecture and decide what should be built, improved, or retired across the monorepo, pro.betstamp.com, and supporting services.

Team leadership: Manage, mentor, and review engineers while helping hire and develop the team.

Hands-on delivery: Ship code regularly and take on work requiring senior judgment, including complex migrations and production incidents.

AI-enabled engineering: Set the standard for using coding agents and AI tools effectively. Improve team output without lowering the bar for correctness, security, or maintainability.

Planning and reporting: Define scope and timelines, communicate tradeoffs, and keep management informed of progress and risks.

Production reliability: Own uptime, alerting, incident response, and the operational practices behind our real-time data platform.

The role is approximately evenly split between leadership and individual contribution. You should want to lead a team while continuing to write and review code.

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 of experience building and operating production backend systems

Strong experience with a typed, compiled language

Experience managing engineers or serving as a technical lead

Experience owning critical systems and responding to production incidents

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

A forward-looking view of AI and the ability to help a team adopt new tools effectively

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

Strong current coding and code-review skills

Ability to communicate clearly with technical and non-technical stakeholders

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 building products or internal workflows with LLM APIs

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 growing an engineering team

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