Sports Operations Engineer at Kalshi

New York, New York, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

FinTech, SportsIndustries

Requirements

Deep sports knowledge across major leagues (NFL, NBA, MLB, NHL, MLS, NCAA, and international competitions)
Strong engineering skills, particularly in Python for automation scripts
Experience designing and building scalable automation systems for market listing, monitoring, and settlement
Ability to architect robust data pipelines for ingesting, processing, and structuring large volumes of sports data from multiple feeds with low latency and data integrity
Expertise in DAG & workflow orchestration for complex, fault-tolerant systems handling dependencies
Proficiency in scheduled job management (e.g., cron jobs) for reliable execution during high-volume periods
Skills in building internal tooling with intuitive interfaces for operational teams
Capability to implement complex sports logic, including rules for overtime, tiebreakers, playoffs, postponements, suspensions, protests, and stat corrections
Experience with real-time processing systems for live game feeds, monitoring, and alerting
Knowledge of automated settlement systems with verification across multiple data sources

Responsibilities

Design and build Python automation scripts to list, update, and determine sports markets at scale for pre-game, in-play, and futures markets without manual intervention
Build robust data pipelines that ingest, process, and structure large volumes of sports data (real-time game data, player statistics, injury reports, weather updates, official sources)
Implement and maintain complex DAGs for orchestrating market operations workflows across thousands of concurrent events
Develop and maintain cron jobs and scheduled tasks to automatically list markets, update odds, and settle markets
Own and evolve internal tools for the Market Operations team, including interfaces for market management, settlement verification, and monitoring; gather requirements and improve efficiency
Translate complex sports rules and edge cases into code for handling sport-specific nuances across leagues
Create real-time processing systems for live game feeds, triggering market actions, with monitoring and alerting for anomalies
Develop automated settlement systems that determine outcomes based on official results, with verification layers and discrepancy flagging

Skills

Python

Automation Scripts

Data Pipelines

Sports Markets

Market Listing

Market Monitoring

Market Settlement

Kalshi

Regulated exchange for event contracts trading

About Kalshi

Kalshi operates as a regulated exchange where traders can speculate on the outcomes of various events through a unique product called 'event contracts.' These contracts allow investors to bet on whether specific future events will happen, such as changes in Covid-19 statistics or legislative decisions in Congress. The platform expands the traditional futures market by addressing new economic risks, making it accessible to both individual investors and institutional traders who want to hedge or speculate on significant events. Kalshi earns revenue by charging transaction fees on trades made on its platform. What sets Kalshi apart from its competitors is its regulatory approval from the Commodity Futures Trading Commission (CFTC), which allows it to offer this new asset class in a compliant manner.

New York City, New YorkHeadquarters

2019Year Founded

$29.3MTotal Funding

DEBTCompany Stage

Fintech, Financial ServicesIndustries

201-500Employees