GOOGLE is hiring Exprienecd candidates SOFTWARE ENGINEER III, FULLSTACK. The details of the job, requirements and other information given below:
GOOGLE IS HIRING : SOFTWARE ENGINEER III, FULLSTACK, GOOGLE SECURITY OPERATIONS
- Qualification : Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
- 2 years of experience with data structures or algorithms in either an academic or industry setting.
Preferred qualifications:
- 3 years of experience in software development with one or more programming languages (e.g., Go, Angular, Python, C++).
- Experience in code and system health, diagnosis and resolution, and software test engineering.
- Knowledge and understanding of data structures or algorithms.
- Experience in developing accessible technologies.
- Location: Bengaluru, Karnataka, India
Don’t miss out, CLICK HERE (to apply before the link expires)
Sample Interview Questions and Best-Fit Answers
Q1: What is the difference between front-end and back-end development?
Answer:
The front-end is the part of the website or application that users see and interact with. It includes design, layout, and user experience. Technologies used include HTML, CSS, JavaScript, and frameworks like Angular or React.
The back-end is the server-side of the application. It handles the logic, database operations, and communication with the front-end. Common technologies include Python, Go, Java, Node.js, and databases like MySQL or MongoDB.
As a Fullstack engineer, you work on both sides – building user interfaces and also ensuring data is processed and stored properly in the backend.
Q2: What are data structures and why are they important?
Answer:
Data structures are ways to organize and store data so that it can be used efficiently. Examples include arrays, linked lists, stacks, queues, trees, and hash maps.
They are important because they help write faster and more efficient programs. For example, if you want to find a name in a phone book, using the right data structure (like a hash map) makes the search much faster than going through every name one by one.
Q3: Explain a project where you had to debug a complex issue.
Answer:
In one of my past projects, the application was crashing randomly under high traffic. I started by checking the server logs and noticed a memory leak. I used a profiling tool to track memory usage and found that a cache was growing too large and not being cleared.
I fixed the issue by setting proper memory limits and clearing unused cache items. After the fix, the app ran smoothly even under load.
This taught me how important monitoring and debugging tools are in production systems.
Q4: What is accessibility in software and why is it important?
Answer:
Accessibility means designing software that can be used by everyone, including people with disabilities like poor vision or limited mobility. For example, adding keyboard navigation, screen reader support, or using contrast-friendly colors helps people use the application without difficulty.
It is important because technology should be inclusive. At companies like Google, accessibility is a priority because their products are used by billions of people worldwide.
Q5: How do you ensure the code you write is high quality?
Answer:
I follow a few steps to ensure high-quality code:
Write clean, readable code with proper variable names and structure.
Use code linters to check formatting.
Write unit tests and run automated tests to catch bugs early.
Use code reviews to get feedback from teammates.
Keep performance and security in mind when designing.
By doing this, I make sure the code is maintainable, fast, and secure.
Q6: Describe your experience working with Angular or Go.
Answer:
In my last project, I used Angular to build a dashboard where users could monitor real-time data. I used components, services, and observables to create a clean UI with responsive design.
I’ve also worked with Go on the back-end, where we built APIs that processed data and stored it in a PostgreSQL database. Go’s concurrency features (like goroutines) helped us handle multiple requests efficiently.
Q7: How do you handle system issues in production?
Answer:
First, I triage the issue – understand how big the impact is. Then, I:
Check logs and monitoring tools.
Try to reproduce the issue in a staging environment.
Identify the root cause and fix it.
Add tests to prevent it from happening again.
Update the team and users if needed.
Keeping calm and being systematic is key.
Final Tips for Applicants
Learn Go or Python, and get familiar with Angular.
Practice DSA (Data Structures and Algorithms) regularly.
Contribute to open-source or build your own projects to showcase skills.
Prepare for system design and debugging questions.
Learn the STAR method (Situation, Task, Action, Result) for answering behavioral questions.
Join Our Telegram Group (1.9 Lakhs + members):- Click Here To Join
For Experience Job Updates Follow – FLM Pro Network – Instagram Page
For All types of Job Updates (B.Tech, Degree, Walk in, Internships, Govt Jobs & Core Jobs) Follow – Frontlinesmedia JobUpdates – Instagram Page
For Healthcare Domain Related Jobs Follow – Frontlines Healthcare – Instagram Page
For Major Job Updates & Other Info Follow – Frontlinesmedia – Instagram Page
