Senior Software Engineer

Our client is a new, fully remote market maker on prediction markets, funded by a tier 1 operator to build next-generation trading systems, leveraging huge industry IP & resources from the tier 1 operator. The founding team includes true industry veterans with a vision for the future. They are building a lean, fully remote, senior team focused on high-performance systems, pragmatic engineering, and rapid iteration.

Design and build exchange gateways, trading strategies, and supporting services that power the prediction market trading platform.

• Design and implement low-latency services in C#/.NET for market data ingestion, order routing, and risk controls.
• Use Python for non-hot-path components such as research tooling, data prep, or automation.
• Integrate with platform primitives and data stores (Kafka, Redis, Postgres) with an eye toward resilience and performance.
• Contribute to domain modeling for prediction markets (instruments, orders, fills, risk, P&L).
• Build and evolve exchange gateways using FIX for order entry, Web Socket for market data feeds, and REST for reference/static data — with robust fault tolerance throughout.
• Write clean, testable code; uphold code quality via reviews, automated tests, and thoughtful documentation.
• Collaborate closely with infra, trading, and front-end to iterate quickly and deliver measurable outcomes.
• Instrument services for observability and participate in on-call to own what you build.

• 7+ years of backend engineering with a strong focus on C#/.NET in production.
• Solid Python skills for tooling and integration (non-hot path).
• Proficiency in concurrent programming, streaming/event-driven designs, and data-intensive systems.
• Hands-on experience with Kafka (or similar), Redis, and relational databases (Postgres preferred).
• Protocol fluency: FIX (order entry — nearly all exchange gateways will be FIX-based), Web Socket (market data), and REST (reference data). Deep FIX experience is a significant plus though not a strict requirement.
• Ownership mindset, product sense, and the ability to navigate ambiguity in a startup environment.
• A genuine curiosity about and comfort with AI tools. You are already using AI to accelerate your work, you experiment on your own time, and you are energized — not intimidated — by how quickly this space is evolving. We are all learning together, and we want people who approach that with enthusiasm.

• Sports betting — You have hands‑on experience in the industry (trading, technology, risk, or operations) and are excited to bring that expertise to prediction markets.
• Financial markets / prediction markets — Exchange, derivatives, or prediction market background with a genuine interest in sports trading.
• Independent depth — Side projects, research, or self‑directed learning demonstrating real engagement with sports betting, financial exchanges, or prediction markets will be given serious consideration.

• Some exposure to front‑end systems and real‑time UI requirements.
• Experience with risk management, market‑making, or quantitative research workflows.
• Background in performance profiling and GC tuning for low‑latency services.