The Leaflet

An independent platform for cutting-edge, progressive, legal, and political opinion.

Senior Backend Engineer – Quantitative Sports

Backend EngineerSoftware EngineerFull TimeRemoteTeam 11-50H1B No SponsorCompany SiteLinkedIn

Location

Florida

Posted

115 days ago

Salary

Not specified

Bachelor Degree8 yrs expEnglishAWSCloudKafkaMy SQLPostgresPythonRabbit MQ

Job Description

• Significantly contribute to efforts on a scalable platform designed to perform reliably under intense user and data load • Be a contributor in architecture discussions regarding the pricing platform • Be a contributor to the drive to reduce the latency within the system • Ensure a full testing structure is in place to create confidence and resilience in the system • Foster team collaboration and knowledge sharing • Work closely with the quantitative developers to ensure best practices and alignment within the wider department • Build operational tools and applications to support teams as required

Job Requirements

  • Minimum 8+ years of engineering experience
  • Deep proficiency in Python, especially around backend development
  • Experience working in a low-latency platform
  • Experience of working in a multi-feed ingestion architecture
  • Experience with Micro-Service and Service oriented architectures
  • Experience in deploying and managing cloud-based systems and infrastructure (AWS)
  • Experience with different databases: Relational (Postgres, MySQL, etc) Analytical (Snowflake, Clickhouse)
  • Strong knowledge of messaging systems (Kafka, RabbitMQ) and pipeline architecture
  • Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders
  • Self-driven, meticulous, and ability to prioritize in a complex and fast-paced environment
  • Bachelor’s Degree (or higher) in Engineering, Computer Science or other related scientific, technical or business discipline
  • Minimum of 8 years job related experience
  • Preferred: Experience within the sports betting industry
  • Understanding of pricing engines, trading algorithms, or live odds generation.
  • Strong interest in sports and sport analytics
  • Knowledge with game state feeds such-as Radar & Genius.

Benefits

  • Competitive pay and benefits
  • Flexible vacation allowance
  • Flexible work from home or office hours
  • Startup culture backed by a secure, global brand
  • Opportunity to build products enjoyed by millions as part of a passionate team

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