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Senior Data Infrastructure Engineer

Viggle

Toronto

On-site

CAD 150,000 - 200,000

Full time

3 days ago
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Job summary

Viggle AI seeks a Senior Infrastructure Engineer to enhance its recommendation systems. The role involves developing data infrastructure, system architecture, and optimizing performance in a tech-driven environment. Ideal candidates will possess strong software engineering skills and proficiency in languages such as Go, C++, and Python. Join a dynamic team at the forefront of the GenAI revolution!

Qualifications

  • Strong software engineering skills crucial for role.
  • Experience with software infrastructure for recommendation systems required.
  • Proficiency in Go, C++, and Python necessary.

Responsibilities

  • Develop data infrastructure to support large-scale recommendation systems.
  • Design system architecture and build robust model deployment pipelines.
  • Optimize system performance and stability.

Skills

Software engineering skills
Recommendation systems
Go
C++
Python
Kubernetes
Docker
Linux
Cloud-native architecture
Kafka
MySQL
Redis
RabbitMQ
Distributed systems
Cloud computing
Microservices
Communication skills
Teamwork skills

Job description

Direct message the job poster from Viggle

Viggle AI is a startup backed by top-tier investors such as a16z and TSFV. At the forefront of the GenAI revolution, we specialize in controllable video generation for content creators, offering advanced technology that empowers creators to realize their visions.

Our rapidly growing app is loved by creators from Hollywood professionals to TikTokers, boasting over 30 million users and hosting the second-largest Discord community worldwide.

Job Description :

We are seeking a skilled and experienced Senior Infrastructure Engineer to join our dynamic team in Toronto. As a Senior Infrastructure Engineer, you will be leading in designing, developing, and optimizing Viggle AI's recommendation systems that powers the scalable & accurate content distribution.

Key Responsibilities :

  • Develop data infrastructure to support large-scale recommendation system.
  • Design system architecture, train models, and build robust model deployment pipelines.
  • Develop middleware components for asynchronous processing and task scheduling.
  • Optimize system performance, stability, and security, addressing high concurrency and load challenges.

Qualifications :

  • Extremely strong software engineering skills.
  • Experience in software infrastructure for recommendation systems.
  • Proficient in Go, C++, and Python.
  • Proficient in Kubernetes, Docker, Linux, and cloud-native architecture.
  • Proficient in Kafka, MySQL, Redis, RabbitMQ, and distributed systems.
  • Experienced in cloud computing, container orchestration, microservices.
  • Strong communication and teamwork skills, embracing technical challenges and innovation.

Base Salary Range :

CAD $150,000 - $200,000

Seniority Level : Mid-Senior level

Employment Type : Full-time

Job Function : Information Technology

Industries : Technology, Information and Internet

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