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Tubi

Software Engineer, ML Infra & Distributed Systems (Staff & Principal)

Tubi
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14 days ago
Remote, United States +3 moreStaff+ / Senior
H1B Sponsor

Base Salary

$227k - $417k/yr

Responsibilities

  • Design and build scalable, high throughput, and low latency distributed systems using Scala.
  • Build reusable components and services for various ML applications like Personalization and Search.
  • Collaborate with ML engineers to develop scalable solutions for their challenges.
  • Optimize latency, cost, and efficiency of infrastructure through data-driven approaches.
  • Mentor team members on system design and incident management.
  • Define the long-term vision and architecture for ML Infrastructure at Tubi.

Requirements

  • Experience designing and building scalable, distributed systems in modern backend languages.
  • Strong experience with AWS or equivalent cloud platforms.
  • Experience building online microservices at scale with low latency serving.
  • Familiarity with SQL and NoSQL databases, message brokers, and caches.
  • Experience with containerization technologies like Docker or Kubernetes.
  • Led response and resolution efforts for major, large-scale incidents.

Benefits

  • Flexible Time Off Policy for personal matters.
  • Generous Parental Leave Program with 12 weeks of paid bonding leave.
  • Monthly wellness reimbursement.

Tech Stack

Apache CassandraApache KafkaAWSC++DockerElixirErlangGoJavaKubernetesPostgreSQLPythonRedisScala

Categories

AI & MLBackendData Engineering