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1 месяц назад

Senior Software Engineer, Backend Performance Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
SK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Software Engineer, Backend Performance Engineer (AI) (Distributed Systems, Multimedia Indexing): Building large-scale microservices and real-time indexing pipelines for Roku's multimedia recognition infrastructure with an accent on Kubernetes, machine learning, and agentic AI integration. Focus on optimizing throughput, latency, and cost across multi-region cloud deployments, building production agents and internal tooling, and maintaining highly reliable services.

Location: Seoul, South Korea. Hybrid working with office attendance generally required Monday through Thursday; Fridays are generally flexible for remote work.

Company

hirify.global is a public TV streaming platform that connects consumers, content publishers, and advertisers across its global ecosystem.

What you will do

  • Design and build distributed systems that ingest, process, and index large volumes of multimedia content.
  • Architect and implement Kubernetes-based microservices handling millions of daily requests with sub-second latency.
  • Develop indexing pipelines that extract audio, video, and metadata features using signal processing and machine learning.
  • Integrate agentic AI and LLM capabilities into development workflows, service operations, automated recovery, and internal tooling.
  • Build production agents that detect regressions, bisect commits, propose fixes, and generate code for review.
  • Optimize throughput, latency, cloud costs, observability, and reliability across multi-region deployments; participate in on-call rotation.

Requirements

  • 5+ years of professional software engineering experience building and operating production systems at scale.
  • Strong proficiency in Python, C++, or Go, with solid knowledge of data structures, algorithms, and system design.
  • Experience with distributed systems, cloud platforms such as AWS or GCP, Docker, and Kubernetes in production.
  • Experience with Git, CI/CD, monitoring, alerting, observability, and modern software development practices.
  • Experience integrating LLMs such as ChatGPT, Claude, or Cursor, plus familiarity with agentic AI architectures, prompt engineering, RAG, and multimodal AI models.
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Culture & Benefits

  • Collaborative, fast-paced environment focused on solving problems and delivering products to customers.
  • Global mental health and financial wellness support.
  • Local benefits may include healthcare, life and disability coverage, commuter support, retirement options, and statutory benefits.
  • Time off is provided according to local leave policies and personal needs.
  • Technical leadership opportunities through design reviews, mentoring, and driving AI adoption.

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