Software Engineer Intern, Observability in Cambridge

Software Engineer Intern, Observability in Cambridge

Cambridge Full-Time 500 - 1500 £ / month (est.) Home office (partial)
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At a Glance

  • Tasks: Dive into AI and observability, creating innovative solutions for Roku's platform.
  • Company: Join Roku, the leading TV streaming platform transforming how the world watches TV.
  • Benefits: Paid internship, flexible work environment, and comprehensive benefits including mental health support.
  • Other info: Exciting opportunity to grow skills in a fast-paced, innovative culture.
  • Why this job: Make a real impact while learning cutting-edge technologies in a collaborative team.
  • Qualifications: Pursuing a degree in Computer Science/Engineering with a passion for AI and observability.

The predicted salary is between 500 - 1500 £ per month.

Teamwork makes the stream work. Roku is changing how the world watches TV. Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we have set our sights on powering every television in the world. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you will make a valuable - and valued - contribution. We are a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.

About the role: 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 revolutionise 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 will 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 are enthusiastic about learning at the intersection of observability and AI, and ready to make an impact, we would love to hear from you! We offer a paid 12-week internship, starting in Summer 2026.

About the team: The observability team is an integral part of Roku's central Infrastructure Engineering team, which oversees the service mesh hosting architecture and observability platform that lives on that platform. Together, we are tasked with developing and scaling both the Platform (Kubernetes, Istio, Envoy, operators, etc.) and the Observability stack (OSS/CNCF-supported observability projects). Our goal is to facilitate Roku's shift towards a unified, cloud-agnostic infrastructure where all teams benefit from a common framework with out-of-the-box features. Within the observability team, we are dedicated to creating a world-class observability platform. We customise and optimise OSS projects to meet our needs and actively contribute to upstream projects, promoting positive changes and engaging with the broader ecosystem.

What you will be doing: In this role, you will take on exciting projects at the cutting edge of AI and observability. Your primary focus will be exploring and then making proof of concepts for AI/LLM capabilities within our observability stack. To give some potential examples:

  • Discovering and evaluating MCP servers that can be globally hosted to improve the usability and intelligence of our observability platform.
  • Developing AI-driven anomaly detection systems to proactively identify issues and patterns in our telemetry data.
  • Creating intelligent automation for common observability workflows using LLMs.
  • Building proof-of-concepts for AI-assisted troubleshooting and root cause analysis.
  • Exploring any other options that benefit our platform.

Alongside these AI-focused initiatives, you will work on smaller tasks to gain hands-on experience with our observability stack, collaborating with a passionate team to solve real-world challenges. Your contributions will directly enhance how Roku monitors, analyses, and optimises its systems through the power of AI, giving you a chance to learn, innovate, and make an impact at the forefront of observability technology.

We are excited if you have:

  • Currently enrolled in a degree programme 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 LLMs 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 optimise systems.

Even if you do not have direct experience with everything listed, we are looking for someone with the drive to dive in, ask questions, and grow their skills along the way!

Our Hybrid Work Approach: Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five-day in-office policy.

Benefits: Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It is important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.

Accommodations: Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.

The Roku Culture: Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humour. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We are independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you will be part of a company that is changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn’t real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.

Software Engineer Intern, Observability in Cambridge employer: Roku

Roku is an exceptional employer that fosters a collaborative and innovative work culture, where your contributions as a Senior AI Software Engineer will directly impact the development of cutting-edge web applications and AI features. Located in a vibrant tech hub, employees benefit from continuous growth opportunities, access to modern technologies, and a supportive environment that encourages creativity and teamwork.

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Contact Details:

Roku Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Software Engineer Intern, Observability in Cambridge

Tip Number 1

Network like a pro! Reach out to current or former Roku employees on LinkedIn. Ask them about their experiences and any tips they might have for landing the internship. Personal connections can make a huge difference!

Tip Number 2

Show off your skills! If you’ve worked on any projects related to observability, AI, or Kubernetes, be ready to discuss them in detail during interviews. Bring examples that highlight your problem-solving abilities and teamwork.

Tip Number 3

Prepare for technical questions! Brush up on your knowledge of observability tools and concepts. Practise coding challenges and be ready to demonstrate your thought process when tackling problems.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Roku team. Don’t miss out!

We think you need these skills to ace Software Engineer Intern, Observability in Cambridge

Observability
AI and Large Language Models (LLMs)
Kubernetes
Container Orchestration
DevOps
CI/CD Workflows
Problem-Solving

Some tips for your application 🫡

Show Your Passion for Observability:When you're writing your application, let your enthusiasm for observability and AI shine through! We want to see that you're genuinely excited about the role and eager to learn more about the tools and technologies involved.

Tailor Your Application:Make sure to customise your application to highlight relevant experiences and skills that align with the job description. We love seeing how your background fits into our mission at Roku, so don’t hold back!

Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so make sure your thoughts are well-organised and easy to follow. This will help us understand your qualifications quickly!

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!

How to prepare for a job interview at Roku

Know Your Stuff

Make sure you brush up on observability concepts and AI technologies. Familiarise yourself with tools like Kubernetes, Istio, and any CNCF projects that might come up. Showing that you understand the tech behind Roku's observability platform will impress the interviewers.

Show Your Curiosity

Roku values a strong eagerness to learn. Be prepared to discuss your interest in observability and AI, and how you’ve explored these areas in your studies or personal projects. Ask insightful questions about their current projects to demonstrate your enthusiasm.

Collaborate Like a Pro

Since teamwork is key at Roku, be ready to share examples of how you've worked effectively in teams. Highlight your problem-solving skills and how you’ve contributed to group goals. This will show that you can thrive in their collaborative environment.

Be Ready to Innovate

Think about how you can contribute to Roku’s mission of enhancing observability through AI. Prepare some ideas or proof-of-concept projects that align with their goals. This proactive approach will showcase your creativity and readiness to make an impact.