Senior Software Engineer

Pentasia

United States

Remote

USD 120,000 - 160,000

Full time

14 days+
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Job summary

A leading market maker in prediction markets is seeking a remote Backend Engineer with extensive experience in C#/.NET. The role involves designing low-latency services, integrating with data platforms, and contributing to the development of exchange gateways. Ideal candidates will have over 7 years of backend engineering experience, solid Python skills, and domain knowledge in sports betting or financial markets. Join a dynamic team committed to building the next generation of trading systems.

Qualifications

  • 7+ years of backend engineering experience with C#/.NET in a production environment.
  • Solid Python skills for tooling and integration.
  • Experience with concurrent programming and data-intensive systems.

Responsibilities

  • Design and implement low-latency services for market data ingestion and order routing.
  • Integrate with platform primitives such as Kafka, Redis, and Postgres.
  • Build and evolve exchange gateways using FIX and WebSocket.

Skills

C#/.NET
Python
Kafka
Redis
Postgres
FIX Protocol
WebSocket
REST

Job description

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.

Mission

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

What You Will Do
  • 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, WebSocket 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.
What You Bring
  • 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), WebSocket (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.
Domain Knowledge (Required)
  • 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.
Nice to Have
  • 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.
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