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Swish Analytics
Swish Analytics
11 – 50 Employees
H1B Visa SponsorConsultingGamblingMarketing
Swish Analytics develops machine-learning software and predictive data for the sports betting industry. Its B2B platform helps sportsbooks and fantasy platforms generate real-time odds across player props, team and match markets, pre-game forecasts, in-play events, parlays, bet builders, and micro-markets. The company also supports automated bet-lifecycle management, combining pricing models and scalable odds infrastructure to streamline how betting products are created and managed.
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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.

USUnited StatesCACalifornia
$150,000 / year
RemoteFull-timeSeniorEnglish RequiredFull-stack EngineerSoftware Engineer
CloudDockerGoJavaScriptKafkaKubernetesMicroservicesNode.jsPython

Description

  • 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.

Requirements

  • 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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