Product Engineer

🕒 Julho 21

🏄 California – Remoto

🏄 California – Remote

💵 $170.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

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Swish Analytics

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2014

💼 Consultoria

📣 Marketing

🎲 Jogos de Azar

💰 $6.909.110 Series B - Swish Analytics em 2019-05

Consulting • Marketing • Gambling

A Swish Analytics é uma empresa de dados preditivos e probabilidades esportivas orientada por machine learning que desenvolve um mecanismo em tempo real de criação de probabilidades para casas de apostas e plataformas de fantasia. A empresa oferece precificação de props de jogadores com alta precisão, mercados de partidas e equipes, projeções em tempo real e pré-jogo, e gestão automatizada do ciclo de vida de apostas para alimentar o processo de bookmaking, construtores de apostas, parlays e micro-mercados. A Swish se posiciona como um fornecedor B2B focado em automação, precisão e infraestrutura escalável de probabilidades para a indústria de apostas esportivas.

Descrição

• Build, test, debug, and deploy production-grade components and services powering our real-time sports betting and analytics products • Own the deployment and operation of your own services on Kubernetes within a larger platform — this is service ownership within a shared ecosystem, not cluster administration or a DevOps function • Proactively improve and extend our Rust codebase • Trace and resolve the root causes of data inaccuracies across pipeline dependencies and our Python codebase • Set up and maintain alerting, monitoring, and observability for the services you own • Build and maintain the shared frameworks and services that let our models scale in production, and accelerate their adoption across teams • Apply large-scale data processing techniques to build scalable, innovative sports betting products • Examine and improve the integration and scaling of our real-time operations, simulations, and experiments • Develop solutions for open-ended problems where information is incomplete and no precedent exists

🎯 Requisitos

• Bachelor's degree in Computer Science or a related technical field • 5–7 years building and shipping production software • Advanced Python experience (Rust experience strongly preferred) • Comfortable owning your own services in a Kubernetes environment • Experience setting up alerting and monitoring systems • Experience with Kafka (or a comparable streaming / event platform) • Proficiency with SQL • Experience with source control (GitHub) and related CI/CD processes • Experience working in AWS environments • Track record of technical leadership and partnering across teams on complex, ambiguous problems • Strong communication skills with both technical and non-technical audiences.