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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

8Open Positions

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Software Engineer Intern, Observability

Roku
Found 1 month ago
Location
Cambridge, United Kingdom
Duration (Months)
3 Months
Time
Full-time
Work Mode
Hybrid
Salary
paid
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • observability
  • AI
  • Large Language Models
  • CNCF open-source ecosystem
  • metrics
  • logs
  • tracing
  • Kubernetes
  • container orchestration
  • DevOps
  • CI/CD workflows

Soft Skills

  • problem-solving
  • working collaboratively
  • exploring innovative ways
  • curiosity
  • eagerness to learn
  • collaboration
  • team goals

Job Description

Are you eager to dive into the world of observability and contribute to building the next generation of Roku's AI-enhanced observability platform? Are you excited to learn about or expand your knowledge of the CNCF open-source ecosystem, including tools for metrics, logs, and tracing, while exploring how AI and Large Language Models can revolutionize observability workflows? Do you enjoy problem-solving, working collaboratively with other teams, and exploring innovative ways to improve their observability experience through intelligent automation? In this role, you'll have the opportunity to grow your skills while helping manage large-scale operations involving high-volume data and requests across multiple regions and clusters, all while pioneering AI driven observability solutions. If you're enthusiastic about learning at the intersection of observability and AI, and ready to make an impact, we'd love to hear from you!

Requirements

  • Currently enrolled in a degree program in Computer Science/Engineering or related field and due to graduate in Dec 2026 or later.
  • A strong curiosity and eagerness to learn about observability, cloud platforms, and large-scale systems.
  • Some prior experience with AI and LLM’s in general
  • Some familiarity with concepts around Kubernetes or container orchestration, and an interest in learning how to deploy and manage services in these environments.
  • An understanding of, or experience with, basic DevOps or CI/CD workflows, and a desire to explore how these can improve reliability and scalability.
  • A knack for problem-solving and a willingness to experiment with new tools and technologies.
  • A passion for collaborating with others and contributing to team goals.
  • Excitement about creating something impactful and being part of a project that helps improve the way we monitor and optimize systems.
  • Even if you don’t have direct experience with everything listed, we’re looking for someone with the drive to dive in, ask questions, and grow their skills along the way!

Related Field

  • Software Engineering

Related Subfield

  • Software QA & Testing

Languages

  • English
▶Apply Now

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