Please complete your application before March 2, 2020.
Note: This application is intended for candidates that are eligible for full-time work authorization in the United States upon completing their education. Please be prepared to answer the following in your application:
- (1) Are you legally authorized to work in the United States?
- (2) Do you now, or will you in the future, require sponsorship for employment visa status (e.g., H-1B visa status, etc.) to work legally in the United States?
You can also consider applying for our international opportunities. Please check google.com/students for current openings in the location where you are eligible for full-time authorization.
Positions are based in our North America locations.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Sunnyvale, CA, USA; Mountain View, CA, USA; San Bruno, CA, USA; San Francisco, CA, USA.
Minimum qualifications:
- Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.
- Experience with Data Structures or Algorithms (i.e. completing a data structures or algorithms class, coursework, course projects, research, individual projects, internships, or other practical experience in/outside of school or work (including open source hobby coding)).
- Examples of coding in one of the following programming languages including but not limited to: C, C++, Java, JavaScript or Python.
- Experience with data structures, branching, function-calls, and conditionals or debugging code and submitting the appropriate fix in a general purpose programming language.
Preferred qualifications:
- Previous tech internships or relevant work experience programming in one of the following languages as well as demonstrated experience programming in two or more of the languages including but not limited to: C, C++, C#, Java, JavaScript, Go or Python.
- Experience working with some of the following: web application development, Unix/Linux environments, mobile application development, distributed and parallel systems, machine learning, information retrieval, natural language processing, networking, developing large software systems, or security software development.
- Experience manipulating code to improve system availability and latency; Experience with improving inventing or proving the value of new algorithms that improve a product's capabilities, speed, efficiency and reliability or skill in isolating problems to a database subsystem.
- Working proficiency in verbal and written English.
- Authorization to legally work in the US.
- Must be able to start a full-time role in 2020.
About The Job
Site Reliability Software engineers working in Site Reliability are involved in every facet of Google's production and work on the cutting edge of cloud-based computing. As a member of this team you are in the thick of everything involved with keeping Google running, from code-level troubleshooting of traffic anomalies to maintenance of our most cutting edge services; from monitoring and alerts to building new automation infrastructure. Software engineers on this team love to create scalable software that scale to our users. You will take on challenging, novel situations every day, and work with just about every other engineering and operations team to provide services and applications that are quintessentially Google — fast, reliable and accessible to all.
Responsibilities
- Specific responsibilities vary by project area. General responsibilities include: Take on tasks as requested, following through to completion despite roadblocks or distractions.
- Create and support a productive and innovative team. This includes working with peers, managers, and teams.
- Mitigate reliability failures in a component or system.
- Analyze information and evaluate results to choose the best solution to effectively solve problems.
- Develop scripts to automate routine tasks while also reading and reviewing others’ code to provide feedback.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
