What are the pros and cons of working as a software engineer for Google or Microsoft versus starting your own startup like Zoom or Uber or Airbnb did when they started out?

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What are the pros and cons of working as a software engineer for Google or Microsoft versus starting your own startup like Zoom or Uber or Airbnb did when they started out?

Google and Microsoft are both giant tech companies that offer great benefits and salaries to their employees. However, they also have strict work schedules and can be inflexible when it comes to new ideas. In contrast, startups are often much more flexible and allow employees to have a greater sense of ownership over their work. They also typically offer lower salaries and fewer benefits, but the trade-off is that you have the opportunity to be more creative and innovative. If you’re the type of person who likes to take risks and be rewarded for your creativity, then starting your own startup may be a better option for you than working for a large corporation.

Google, Microsoft, and Apple are all giant tech companies that started out as small startups. Google and Microsoft both began in the garage of their founders, while Apple was started in a basement. All three companies are now worth billions of dollars. But which is the better option for a software engineer: working for one of these huge companies, or starting your own startup?

There are pros and cons to both choices. Working for a big company like Google or Microsoft comes with a lot of perks. These companies can offer competitive salaries, great benefits, and the chance to work on cutting-edge projects. However, they can also be inflexible and bureaucratic. Startups, on the other hand, are much more nimble and offer the opportunity to be more creative. But they also come with more risks, as most startups fail within the first few years.

Google/Microsoft

Pros:

• Top-of-the-market salaries.
• Equity that is definitely going to be worth something once it vests.
• Insane perks.
• No risk. You have a very comfortable job that you can stay in for as long as you want.
• You get all the tools and help you need.
• You’re in a large community of like-minded engineers.
• Having a well-known brand on your CV opens up many career opportunities.

Cons:

• The work can be a bit mundane.
• There is bureaucracy and petty office politics.
• You have to answer to managers.
• You won’t have a huge impact on the company.
• It won’t make you rich. Just upper middle class.
• Large tech companies often have questionable ethics.

Startup

Pros:

• You don’t have to answer to anyone (except your customers).
• It’s a very informal atmosphere.
• It’s exciting. You never know what’s going to happen to the company in the next few months.
• You have a huge impact on the success of the company.
• You pick up many new skills quickly.
• Building something from scratch is very rewarding.
• If the company succeeds, you will become filthy rich.

Cons:

• Lower salary.
• The company will most likely fail and your equity will be worthless.
• You’ll experience constant setbacks until you reach product-market fit.
• Your office perks are most likely limited to a coffee machine.
• You have to do everything yourself, including tasks that you hate.
• You’ll probably work longer hours.

To conclude:

Ultimately, it depends on what you want out of your career. If you want stability and the chance to work on some of the most innovative projects in the world, then working for a big tech company is the way to go. But if you’re willing to take on more risk in exchange for the chance to create something truly new and revolutionary, then starting your own startup may be the right path for you.

Some people tried everything from tiny startups to mid-sized companies to large behemoths. Based on experience, They’ve found that They very much enjoy working in startups, creating something new. But They’ve also been lucky to meet founders that value their skillset. It is always good to want to start your own company at some point, but the timing and idea has to be right.

Source: Here

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• Bjarne Stroustrup - The C++ Programming Language
• Brian W. Kernighan, Rob Pike - The Practice of Programming
• Donald Knuth - The Art of Computer Programming
• Ellen Ullman - Close to the Machine
• Ellis Horowitz - Fundamentals of Computer Algorithms
• Eric Raymond - The Art of Unix Programming
• Gerald M. Weinberg - The Psychology of Computer Programming
• James Gosling - The Java Programming Language
• Joel Spolsky - The Best Software Writing I
• Keith Curtis - After the Software Wars
• Richard M. Stallman - Free Software, Free Society
• Richard P. Gabriel - Patterns of Software
• Richard P. Gabriel - Innovation Happens Elsewhere
• Code Complete (2nd edition) by Steve McConnell
• The Pragmatic Programmer
• Structure and Interpretation of Computer Programs
• The C Programming Language by Kernighan and Ritchie
• Introduction to Algorithms by Cormen, Leiserson, Rivest & Stein
• Design Patterns by the Gang of Four
• Refactoring: Improving the Design of Existing Code
• The Mythical Man Month
• The Art of Computer Programming by Donald Knuth
• Compilers: Principles, Techniques and Tools by Alfred V. Aho, Ravi Sethi and Jeffrey D. Ullman
• Gödel, Escher, Bach by Douglas Hofstadter
• Clean Code: A Handbook of Agile Software Craftsmanship by Robert C. Martin
• Effective C++
• More Effective C++
• CODE by Charles Petzold
• Programming Pearls by Jon Bentley
• Working Effectively with Legacy Code by Michael C. Feathers
• Peopleware by Demarco and Lister
• Coders at Work by Peter Seibel
• Surely You're Joking, Mr. Feynman!
• Effective Java 2nd edition
• Patterns of Enterprise Application Architecture by Martin Fowler
• The Little Schemer
• The Seasoned Schemer
• Why's (Poignant) Guide to Ruby
• The Inmates Are Running The Asylum: Why High Tech Products Drive Us Crazy and How to Restore the Sanity
• The Art of Unix Programming
• Test-Driven Development: By Example by Kent Beck
• Practices of an Agile Developer
• Don't Make Me Think
• Agile Software Development, Principles, Patterns, and Practices by Robert C. Martin
• Domain Driven Designs by Eric Evans
• The Design of Everyday Things by Donald Norman
• Modern C++ Design by Andrei Alexandrescu
• Best Software Writing I by Joel Spolsky
• The Practice of Programming by Kernighan and Pike
• Pragmatic Thinking and Learning: Refactor Your Wetware by Andy Hunt
• Software Estimation: Demystifying the Black Art by Steve McConnel
• The Passionate Programmer (My Job Went To India) by Chad Fowler
• Hackers: Heroes of the Computer Revolution
• Algorithms + Data Structures = Programs
• Writing Solid Code
• JavaScript - The Good Parts
• Getting Real by 37 Signals
• Foundations of Programming by Karl Seguin
• Computer Graphics: Principles and Practice in C (2nd Edition)
• Thinking in Java by Bruce Eckel
• The Elements of Computing Systems
• Refactoring to Patterns by Joshua Kerievsky
• Modern Operating Systems by Andrew S. Tanenbaum
• The Annotated Turing
• Things That Make Us Smart by Donald Norman
• The Timeless Way of Building by Christopher Alexander
• The Deadline: A Novel About Project Management by Tom DeMarco
• The C++ Programming Language (3rd edition) by Stroustrup
• Patterns of Enterprise Application Architecture
• Computer Systems - A Programmer's Perspective
• Agile Principles, Patterns, and Practices in C# by Robert C. Martin
• Growing Object-Oriented Software, Guided by Tests
• Framework Design Guidelines by Brad Abrams
• Object Thinking by Dr. David West
• Advanced Programming in the UNIX Environment by W. Richard Stevens
• Hackers and Painters: Big Ideas from the Computer Age
• The Soul of a New Machine by Tracy Kidder
• CLR via C# by Jeffrey Richter
• The Timeless Way of Building by Christopher Alexander
• Design Patterns in C# by Steve Metsker
• Alice in Wonderland by Lewis Carol
• Zen and the Art of Motorcycle Maintenance by Robert M. Pirsig
• About Face - The Essentials of Interaction Design
• Here Comes Everybody: The Power of Organizing Without Organizations by Clay Shirky
• The Tao of Programming
• Computational Beauty of Nature
• Writing Solid Code by Steve Maguire
• Philip and Alex's Guide to Web Publishing
• Object-Oriented Analysis and Design with Applications by Grady Booch
• Effective Java by Joshua Bloch
• Computability by N. J. Cutland
• Masterminds of Programming
• The Tao Te Ching
• The Productive Programmer
• The Art of Deception by Kevin Mitnick
• The Career Programmer: Guerilla Tactics for an Imperfect World by Christopher Duncan
• Paradigms of Artificial Intelligence Programming: Case studies in Common Lisp
• Masters of Doom
• Pragmatic Unit Testing in C# with NUnit by Andy Hunt and Dave Thomas with Matt Hargett
• How To Solve It by George Polya
• The Alchemist by Paulo Coelho
• Smalltalk-80: The Language and its Implementation
• Writing Secure Code (2nd Edition) by Michael Howard
• Introduction to Functional Programming by Philip Wadler and Richard Bird
• No Bugs! by David Thielen
• Rework by Jason Freid and DHH
• JUnit in Action

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