Senior Backend Software Engineer

🕒 Outubro 12

🏄 California – Remoto

🏄 California – Remote

💵 $150.000 / ano

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

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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

• Serve as the technical lead and owner for core backend products, guiding work from design through implementation and production operation • Design and improve high-traffic, client-facing APIs and microservices, with attention to latency, availability, and correctness • Identify performance and scalability bottlenecks across applications, databases, and service dependencies, and deliver improvements supported by production measurements • Develop services that process real-time and distributed data, working with upstream teams to understand dependencies and failure modes • Create and review architecture designs, documenting important tradeoffs and explaining them to technical and nontechnical partners • Review code, provide constructive feedback, and improve coding standards, testing practices, and maintainability • Improve observability and automation so engineers can detect problems, investigate incidents, and operate services effectively • Contribute to shared tooling, Kubernetes workload optimization, and cloud efficiency in partnership with the teams responsible for those systems • Partner with infrastructure, data engineering, data science, and product teams to keep services reliable as demand grows

🎯 Requisitos

• Minimum of 5 years of production software engineering experience, including demonstrated technical leadership and ownership of backend systems • Hands-on production experience with Node.js and Python • Hands-on production experience with relational and non-relational databases • Strong understanding of high-traffic APIs, distributed services, and the networking and dependencies that affect their behavior • Experience making engineering decisions that improve reliability, high availability, performance, and maintainability • Ability to independently scope ambiguous technical problems, assess tradeoffs, coordinate dependencies, and drive implementation through production rollout • Strong communication skills with technical and nontechnical stakeholders • Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or equivalent relevant experience • Production experience with Kafka or comparable stream-processing systems (preferred) • Production experience with Docker and Kubernetes (preferred) • Experience building and operating systems at global scale, including low-latency distributed data systems (preferred) • Experience developing, deploying, and maintaining business-critical applications (preferred) • Experience with observability platforms and CI/CD tooling (preferred) • Interest or experience in Go (preferred) • Familiarity with sports data (preferred) • Successful completion of background and reference checks may be required

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