Software Engineering, Site Reliability Engineering BS/MS Intern, 2027
Google London, England, United Kingdom
Software Development · 10,001+ employees
About the role
You will work on critical projects to design, test, deploy, and maintain software solutions while automating routine tasks. You will also collaborate with peers and managers to ensure system reliability and performance at scale.
What they look for
Requirements
Candidates must be currently enrolled in a Bachelor's or Master's degree in Computer Science or a related field in the EMEA region. Proficiency in at least one programming language such as Python, C, C++, Java, or JavaScript is required.
Full description
Minimum qualifications:
- Currently enrolled in a Bachelor's or Master's degree in Computer Science or a related technical field in the EMEA region.
- Experience working with data structures or algorithms during coursework/projects, research, internships or practical experience in school or work (e.g., open-source coding).
- Coding experience in one of the following programming languages: Python, C, C++, Java, JavaScript.
Preferred qualifications:
- Relevant practical or internship experience (e.g., research assistant, teaching assistant, personal projects, etc.) with programming in either: C++, Java, Python or Go.
- Relevant practical or internship experience with one or more of the following: AI/ML, infrastructure, web application development, Unix/Linux, mobile application development, distributed and parallel systems, machine learning, information retrieval, natural language processing, networking, developing large software systems, or security software development.
- Interest and ability to learn other coding languages as needed.
- Ability to complete a 13-17 week full-time internship in the UK starting in either May, June or July 2027.
- Currently enrolled in your penultimate/final year of education.
About the job:
As an Intern, you will work on a specific project critical to Google’s needs. Google is working to advance the state of the art in computing and build the next generation of intelligent systems for all Google products. To achieve this, we work on projects that utilize the latest computer science techniques developed by skilled software developers. Whether we're shaping the future of sustainability, optimizing algorithms, or pioneering AI systems, our teams strive to continuously progress science, advance society, and improve the lives of billions of people.
Software Engineering Intern: As a key member of a versatile team, you will work on a specific project critical to Google’s needs. We need our engineers to be versatile, and enthusiastic in addressing new problems as we continue to push technology forward. You will design, test, deploy and maintain software solutions as you grow and evolve during your internship.
Site Reliability Intern: Our engineers create, fix, extend and scale the code to keep it working and to harden it against all the bad actors of the internet. We drive reliability and performance on a massive scale. You will work on software development projects to keep important business-critical systems up and running, from code-level troubleshooting of traffic anomalies to maintenance of our services; from monitoring and alerts to building new automation infrastructure. Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.
Responsibilities:
- Create and support a productive and innovative team including working with peers, managers and teams.
- Develop scripts to automate routine tasks.
- Analyze information and evaluate results to choose the best solution to effectively solve problems.
- Apply knowledge gained in computer science courses to real world problems.
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