1 месяц назад
Senior Software Engineer, Backend Performance Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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