Swish Analytics
Swish Analytics
Swish Analytics izstrādā mašīnmācīšanās programmatūru un prognozējošos datus sporta derību nozarei. Tās B2B platforma palīdz sporta likmju operatoriem un fantāzijas sporta platformām reāllaikā ģenerēt koeficientus spēlētāju likmēm, komandu un spēļu tirgiem, pirms spēles veidotām prognozēm, spēles gaitas notikumiem, kombinētajām likmēm, likmju veidošanas iespējām un mikrotirgiem. Uzņēmums atbalsta arī automatizētu likmju dzīves cikla pārvaldību, apvienojot cenu noteikšanas modeļus un mērogojamu koeficientu infrastruktūru, lai racionalizētu derību produktu izveidi un pārvaldību.

Senior Backend Software Engineer

Lead the development and operation of backend APIs, microservices, and real-time data systems for Swish Analytics’ sports prediction, betting, and fantasy products.

Apraksts

  • Lead core backend products from initial design through implementation and production operations.
  • Design and enhance high-traffic customer-facing APIs and microservices for low latency, availability, and correctness.
  • Find and resolve performance and scaling constraints across applications, databases, and service dependencies, using production measurements to guide improvements.
  • Build services for real-time, distributed data and coordinate with upstream teams on dependencies and failure scenarios.
  • Develop and review architecture proposals, recording key tradeoffs and communicating them to technical and nontechnical partners.
  • Review code and offer actionable feedback to strengthen coding standards, testing, and maintainability.
  • Enhance monitoring and automation to help engineers spot issues, investigate incidents, and run services effectively.
  • Help improve shared tools, Kubernetes workload efficiency, and cloud usage alongside the teams that own those systems.
  • Work with infrastructure, data engineering, data science, and product teams to maintain service reliability as demand increases.

Prasības

  • At least five years of production software engineering experience, with 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 knowledge of high-traffic APIs, distributed services, and the networking and dependencies that influence their behavior.
  • Experience making engineering decisions that improve reliability, availability, performance, and maintainability.
  • Able to define ambiguous technical problems independently, weigh tradeoffs, coordinate dependencies, and carry implementation through production rollout.
  • Strong communication with both technical and nontechnical stakeholders.
  • Bachelor’s degree in computer science, computer engineering, software engineering, or equivalent relevant experience.
  • Preferred: production experience with Kafka or a comparable stream-processing system.
  • Preferred: production experience with Docker and Kubernetes.
  • Preferred: experience building and operating globally scaled systems, including low-latency distributed data systems.
  • Preferred: experience developing, deploying, and maintaining business-critical applications.
  • Preferred: experience with observability platforms and CI/CD tools.
  • Preferred: interest or experience in Go.
  • Preferred: familiarity with sports data.
  • Successful completion of background and reference checks may be required.

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