Relevant practical or internship experience with one or more of the following: web application development, Unix/Linux, mobile application development, distributed and parallel systems, machine learning, information retrieval, natural language processing, networking, developing large software systems, and/or security software development.

Interest and ability to learn other coding languages as needed.

About the job

We offer a range of internships in either Software Engineering or Site-Reliability Engineering across EMEA. Durations and start dates will vary according to project and location. Our recruitment team will determine where you fit best based on your resume.

As a Software Engineering or Site Reliability Intern, you'll work on a specific project critical to Google's needs. Software Engineering Intern: As a Software Engineering Intern, you will work on a specific project critical to Google's needs. You will design, test, deploy, and maintain software solutions as you, and the business, grow and evolve during your internship.

We drive reliability and performance across a massive scale. You will work on software development projects to keep important business generating systems up and running, from code-level troubleshooting of traffic anomalies to maintenance of services; from monitoring and alerts to building 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

• Research, conceive and develop software applications to extend and improve on Google's product offering.
  
• Contribute to a wide variety of projects using natural language processing, artificial intelligence, data compression, machine learning, and search technologies.
  
• Collaborate on scalability issues involving access to data and information.
  
• Utilise exposure to large-scale production software troubleshooting.
  
• Help maintain mission critical services.