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REQUIREMENT_ID_183 • 3-DAY_ACTIVE_POLICY

Data Center Technician Intern,

Company
Company Google
Type
Opportunity Type Internship
Salary
Stipend / Salary Rs 65,000 per month
Location
Location Delhi, India; Mumbai, Maharashtra, India
Posted Date
Posted Date Today
Linux Networking Hardware installation Troubleshooting Cabling Physical lifting Team collaboration Communication Problem solving
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Comprehensive placement paper collection Open Resource ↗
Provides previous Google placement questions and solutions to help candidates practice relevant topics.
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Interview experience and recruitment process guide Open Resource ↗
Offers detailed accounts of Google's interview stages and tips for each round.
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Preparation resource for Google interviews Open Resource ↗
Curated study plan, sample questions and strategy advice tailored for Google hiring.
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Algorithm practice problem set Open Resource ↗
Extensive collection of coding problems to sharpen problem‑solving skills required for Google assessments.

• Currently enrolled in a Diploma, Bachelor’s or higher degree program in Information Systems, Information Technology, Computer Engineering, Mechanical Engineering, Electrical Engineering or related technical field. • Anticipated graduation year: 2028. • Minimum CGPA/percentage: 6.5/65% (or equivalent). • No active backlogs at the time of application. • Must be a resident of India for the full internship duration and able to relocate to Delhi or Mumbai for 12 weeks. • Proficiency in English (spoken and written) is mandatory. • Must be authorized to work in India without sponsorship.

1
Round 1: Online application screening
2
Round 2: Online assessment (coding or technical aptitude)
3
Round 3: Technical interview (system design, Linux/networking scenarios)
4
Round 4: Final interview with Data Center team (hands‑on problem solving)
5
Round 5: HR discussion (fit, availability, compensation)
Google, a global technology leader, has built an ecosystem that touches billions of users daily through search, advertising, cloud, Android, YouTube and many other products. The company’s mission to organize the world’s information and make it universally accessible drives a culture of relentless innovation, openness and a deep commitment to diversity and sustainability. In India, Google operates cutting‑edge research labs, sales and engineering offices, and now, for the first time, a dedicated Data Center Intern program that gives students a front‑row seat to the physical backbone of its services. The Data Center Technician Intern role is designed for technically‑savvy students who want to experience the real‑world challenges of operating massive server farms. Interns will work side‑by‑side with seasoned Operations Engineers, participating in hardware deployment, network cabling, system upgrades, and preventive maintenance across Google’s state‑of‑the‑art data facilities in Delhi or Mumbai. The 12‑week summer stint blends hands‑on hardware work with troubleshooting of Linux‑based servers, giving a holistic view of how software and infrastructure converge at scale. **Key Responsibilities** 1. Assist in the physical installation, de‑commissioning and upgrade of servers, storage and networking equipment. 2. Perform cable management, labeling and documentation to maintain accurate topology maps. 3. Diagnose and resolve hardware failures, logging trends and escalating critical issues to senior engineers. 4. Configure, patch and troubleshoot Linux operating systems on production servers. 5. Conduct preventive maintenance checks, ensuring compliance with safety and reliability standards. 6. Collaborate with remote engineering teams to reproduce and fix bugs reported from the field. 7. Participate in data‑center tours and knowledge‑sharing sessions to understand power, cooling and sustainability initiatives. 8. Lift and move equipment up to 50 lb, adhering to ergonomic best practices. 9. Document all activities in internal ticketing and asset‑management tools. 10. Contribute ideas for process improvements and automation of routine tasks. **Tech Stack & Tools**: Linux (Ubuntu/CentOS), Bash scripting, TCP/IP networking, VLANs, DHCP/DNS, hardware diagnostic utilities, Google internal monitoring platforms, basic Python for automation, and standard data‑center safety equipment. **Growth Path**: Successful interns often receive full‑time offers as Data Center Operations Engineers, Site Reliability Engineers, or move into broader technical roles across Google Cloud, Infrastructure, or Product Engineering. The exposure to large‑scale hardware environments accelerates learning in systems engineering, networking, and cloud infrastructure. **Why Join Google**: Google offers an unmatched learning environment, mentorship from world‑class engineers, and a culture that encourages curiosity and impact. Interns gain access to cutting‑edge facilities, competitive stipends, and the chance to contribute to services that power billions of daily queries. The program also emphasizes diversity, sustainability, and personal development, making it an ideal launchpad for a career in technology.

Google — Software Engineering & Full Stack Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC 📖
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

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COMPANY GUIDE 🎯
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Comprehensive guide covering typical interview formats, common questions, and preparation tips for Google and off-campus tech roles.

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MOCK TESTS & PAPERS 📝
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

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CODING PRACTICE 💻
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

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Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Linux, Networking, Hardware installation, Troubleshooting, Cabling, Physical lifting, Team collaboration, Communication, Problem solving) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Google Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
Explain OOP (Object-Oriented Programming) principles with real-world examples in Linux. Answer ▼
Model Answer: 1. Encapsulation (data hiding via private fields/getters). 2. Abstraction (hiding implementation complexity). 3. Inheritance (code reusability). 4. Polymorphism (method overriding/overloading).
What is the time and space complexity of QuickSort vs MergeSort? Answer ▼
Model Answer: QuickSort: Average O(N log N) time, O(log N) space. Worst O(N^2). MergeSort: Guaranteed O(N log N) time, but requires O(N) auxiliary space.
Explain the difference between SQL Indexing (B-Tree vs Hash) and when not to use an index. Answer ▼
Model Answer: Indexes speed up SELECT queries via B-Trees. However, they slow down INSERT, UPDATE, and DELETE operations because indexes must be updated on disk. Avoid on low-cardinality columns (e.g., boolean flags).
What happens under the hood when you enter a URL in a browser? Answer ▼
Model Answer: 1. DNS lookup (resolves IP). 2. TCP 3-way handshake (SYN, SYN-ACK, ACK). 3. TLS negotiation for HTTPS. 4. HTTP GET request sent. 5. Server responds with HTML/CSS/JS. 6. Browser renders DOM & CSSOM tree.
What is the difference between REST and GraphQL APIs? Answer ▼
Model Answer: REST uses multiple fixed endpoints with possible over/under-fetching. GraphQL uses a single endpoint allowing clients to query exact fields in a single request.
Why do you want to join Google as a Data Center Technician Intern,?
Preparation Tip: Highlight Google's market reputation, recent tech innovations, and how your skills in Linux directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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