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1 день назад

Senior Software Engineer, Data Backend

Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Taiwan
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Software Engineer, Data Backend (Go/Python): Building and operating production-grade backend services and data platform components for high-throughput ingestion, profile processing, and serving with an accent on reliability, performance, and cost efficiency. Focus on designing streaming and batch workflows, improving observability and data quality, and solving complex production issues across cloud-native service and data layers.

Location: Must be based in Taipei, Taiwan; open to overseas candidates with visa support

Company

hirify.global is an AI-native Agentic AI as a Service company that develops intelligent software for AI-powered business decision-making.

What you will do

  • Design, build, and maintain backend services and data platform components in production.
  • Develop and optimize streaming and batch data workflows using Python, Spark, and SQL.
  • Improve reliability and operability through monitoring, alerting, incident prevention, and recovery.
  • Strengthen data quality and consistency with schemas, contracts, and validation mechanisms.
  • Diagnose production issues across service and data layers while driving performance and cost optimization.
  • Collaborate with product, platform, and data teams, mentor engineers, and contribute to engineering standards.

Requirements

  • 6+ 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 such as Kafka and Spark or Databricks.
  • Experience operating services or pipelines in cloud production environments; GCP is preferred.
  • Understanding of observability, on-call operations, incident response, communication, and technical ownership.
  • Fluent English required; the role is based in Taipei, Taiwan.

Nice to have

  • Experience with Databricks, Delta Lake, or lakehouse architectures.
  • Experience with Kubernetes/GKE and Terraform or other infrastructure-as-code tools.
  • Knowledge of data governance, identity and profile systems, or FinOps.
  • Scala or Java experience for Spark ecosystem optimization.

Culture & Benefits

  • Work on high-impact, business-critical data backend systems.
  • Own production outcomes across scale, quality, and cost.
  • Collaborate with cross-functional teams working across AI and data.
  • Grow technical leadership while remaining hands-on.
  • Visa support is available for overseas candidates.

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