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2 дня назад

Senior Software Engineer (Data Backend)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Japan
Релокация
Japan
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Senior Software Engineer (Data Backend): Designing and operating production-grade data backend systems for an Enterprise Data Platform with an accent on scalability, reliability, and cost-efficiency. Focus on building high-throughput APIs in Go, optimizing streaming data workflows with Python and Spark, and ensuring system performance in a cloud-native environment.

Location: Must be based in or be able to relocate to Tokyo, Japan. Visa sponsorship provided for international candidates.

Company

hirify.global is an AI-native Agentic AI as a Service (AaaS) company dedicated to turning artificial intelligence into business ROI.

What you will do

  • Design, build, and maintain robust backend services and data platform components.
  • Develop and optimize high-throughput streaming and batch data workflows using Spark and SQL.
  • Improve system operability through proactive monitoring, alerting, and incident prevention.
  • Ensure data consistency and quality using schema contracts and validation mechanisms.
  • Diagnose and resolve complex production issues across service and data layers.
  • Drive performance and cost optimization initiatives for large-scale data workloads.

Requirements

  • 5+ years of software engineering experience in backend or data-intensive systems.
  • Strong proficiency in Go, Python, and SQL.
  • Hands-on experience with distributed data systems like Kafka and Spark/Databricks.
  • Experience operating services in cloud production environments (GCP).
  • Solid grasp of reliability practices, including observability and incident response.
  • Fluent in English.

Nice to have

  • Experience with Databricks/Delta Lake and Kubernetes/GKE.
  • Familiarity with Terraform/IaC and data governance practices.
  • Experience with FinOps or cloud cost optimization.
  • Scala or Java knowledge for Spark ecosystem optimization.

Culture & Benefits

  • Work on high-impact, business-critical systems in the AI/Data domain.
  • Opportunity to lead technical initiatives while maintaining a hands-on role.
  • Collaborative environment with cross-functional teams in AI and data.
  • Support for relocation and visa sponsorship for international talent.

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