šŸ§˜ā€ā™‚ļø
Jin's Muse on Engineering
  • About Me
  • Leadership
    • About Work
      • Work Like Watching a Movie
      • The day you leave …
      • The inner game of work
      • Routinization - how great institutions become mediocre
      • Have You Lost Your Stories
      • I wish I knew when I was facing layoffs
      • How to get out of this boring job
      • Why Setbacks Can Be Good for Your Career
      • What do we get from returning to office?
      • What if this is the last year you work here
      • Learning, Balancing, Falling - Don’t Stop
      • Who is the boss?
      • Under the Emperor’s New Clothes
      • Are you getting the right opportunities?
      • The elements of a healthy organization
      • Do What You Love vs. Love What You Do
    • About Life
      • Accept the things we cannot change ...
      • Live backwards
      • Life, one breath away, one breath a time
      • Will to Power
      • Learn from stand-up comedian
      • Connect the dots - submit to life’s entropy
    • Leadership Pinciples
      • The thing about Amazon’s leadership principles
      • Vision, Mission, Roadmap - But First, Eat What You Cook
      • Calibration - how we compare
      • But We are on the same side!
      • Leaders need two plans
      • Whose results are you delivering?
      • Coaching through open ended questions
      • This is the new year, and who will you delight?
      • Anti-fragility and Over-thinking
      • So ... what’s your decision
      • No Super Hero in Team
      • Congrats, you are the owner!
    • Communication
      • What, So What, Now What
        • Just tell me what’s next!
      • The Power of Repetition
      • Passing the Story Along
      • Lost in Translation
      • Chopstick War
      • How you speak about the most impactful project
      • Are we really listening
    • Problem Solving
      • How we resolve conflicts
      • Problem Solving: Leader Define Process and Better Leader Define StandardPage
      • If Kant and Nietzsche read Annie Duke's "How to Decide"
  • Engineering
    • Best Practices
      • Accuracy Ain't Always the Truth
      • No excuse for bad engineering
      • Secret of good engineering: constraint, not more time, or resource
      • The Art of Picking the Right Problems
      • Choosing the Right Battle: The Path to Productivity and Satisfaction
      • The Power Balance in Software Development
      • Three Ways of Invent and Simplify
      • Work backwards from demo-able sprint goals
      • That last 1%: from good to great
      • When it is too hard ... don't do it!
      • What Engineering can learn from Sports: Time it!
      • Struggling with Sprint Goals? Try Working Backward
      • Why working on a ā€œlegacy serviceā€ is a good thing
    • Operational Excellence
      • On dashboard
        • Dashboard Quality Vs. Product Quality
      • How we turn operation problems into big data innovation
      • Don’t automate 100%
        • 99% Automated - deleted an on-call rotation!
      • How we got rid of log diving
      • No perfect runbook - map is not territory
      • Someone have to be oncall, why they can’t be you?
        • Why being oncall is a good thing
        • If Sherlock is On-Call ...
        • Inner Peace During Oncall
      • Monitoring Your Service Health Like Human
    • Software Architecture
      • The Curse of the "Next Generation Project"
      • Absurdity in Decoupling
        • Tension of Decoupling and Cohesion
      • The ideal software form
        • Composition Over Inheritance
      • Security and Safety
      • Architecture Properties for Security Services
      • Learn system design from Git - Multilayered Architecture
        • Learn system design from Git - Immutable content-addressable datastore
        • Learn system design from Git - Event Sourcing
        • Learn system design from Git - Evolutionary Architecture
      • Quality starts with local stack
      • Intention-Revealing Interfaces with Examples
      • Design Principles
    • Distributed Computing
      • The beauty of multi-process applications
      • Cook Concurrent, Parallel, Async, and Non-blocking Together (1)
      • Cook Concurrent, Parallel, Async and Non-blocking Together (2)
      • Cook Concurrent, Parallel, Async and Non-Blocking Together (3) - The Multitasking Myth
      • The Local and Global Optimization Trade-Off in System Design
      • Throttling, Traffic Shaping, Traffic Shedding and Circuit Breakers in System Design
      • Differences Between Service Discovery and Load Balancing
        • Load balancer
      • Power of Two Choices
      • Using High Percentile Latency to Detect Resource Constraints
      • Queuing's Impact on High Percentile Latency
    • Machine Learning
      • Are you underfitting or overfitting?
      • How to lead an underfitting team
      • How to lead an overfitting team
      • Project Management and Neural Networks
      • Cryptography and Machine Learning
    • Programming
      • Can you create a language interpreter?
    • Cryptography
      • Explore KMS with CodeWhisperer (and a Dash of Cryptography) - AES-GCM
      • Exploring KMS with a Dash of Philosophy - HASH
      • Explore KMS' RSA encryption: a tale of two keys
      • Explore KMS - the monkey business of Elliptic Curve Cryptography (ECC)Page
  • Project Management
    • Setting goals
      • The Words of Goals
      • Why deadline is a good thing
      • Can you ship it?
      • One Thing Worth Remembering Per Quarter
    • The art of project planning
      • Are you still playing poker at scrum planning
      • Plan and Planning - How we start a project
      • A project’s journey - from inception to reflection
      • Component Team, Feature Team and Tiger Team
      • Sprint demo is a stage
      • Milestone and date
      • Onboarding project
      • Have You Sent Your Status Reports
      • When do you know a project smells
      • Hackathon is coming
    • How to prioritize
      • How to prioritize your 700 ticket backlog
      • Kitchen Sink and Tech Debt
  • Product Management
    • Find Problem
      • Dare to be 10x better
      • It is better to do the right problem the wrong way …
      • The Art of Goal setting: reactive goals, proactive goals, and inspirational goals
      • The things we don’t do …
      • No, I don’t want a platform
  • SDE Career Development
    • Promotion
      • The thing about promotion
        • Write your own promo doc
          • How to write your promo doc
        • The Reason Not To Promote
        • The myth of promotion project
      • The thing about leveling: are you SDE I, II or III?
      • What a L5 SDE is expected in Amazon
      • Customer Obsession - Of Your Own Promotion
      • Still waiting for that perfect manager?
      • You and Your Manager
    • Being SDE
      • What does a KMS SDE do?
      • From Knowing to Mastery: SDE Levels and Guild Ranks
      • How do SDE paint a Tiger from a Cat
      • The need to code
        • So ... where is your code
        • Quantity and Quality - How many line of code did you write?
      • Learn the Machine First
      • Is college major important?
      • Become an industry expert
      • How, What and Why in Problem Solving
      • Integrate both Breath and Depth in Life Long Learning
      • Do one thing well
      • CS students should know computer science history
      • Why Micromanagement is good for you
      • The power of imprinting
    • The Different Levels of Diving Deep
    • Becoming a tech lead
      • The traits of top engineers
      • Road to L6 SDE
      • There is no such thing called L6 task
      • Become a SME
      • Owning a Project vs. Owning a Problem Space
      • Leading, coaching and instructing
  • SDM Career Development
    • What does a SDM do
      • The thing about SDM - organization leader
      • The thing about SDM - manager of managers
      • The thing about SDM - line manager
      • The satisfaction of being a manager
      • Coach first, manager second, learner always - how I learn to coach
      • Gardener vs. SDM
      • SDM wearing three hats
      • What is a SDM doing in a design review?
    • How to be a SDM
      • How not to Micro-Manage - Stopping Being A Task Master
      • How SDM Build Momentum And Connect the Dots
      • How a SDM shoots at a moving target
      • The Danger of Over-Abstraction for Managers
        • How AWS SDM Dive Deep (1) - Dashboard
        • How AWS SDM Dive Deep (2) - Datastore
        • How AWS SDM Dive Deep (3) - Infrastructure
        • How AWS SDM Dive Deep (4) - Deployment
        • How AWS SDM Dive Deep (5) - Correction of Error (COE)
        • How AWS SDM Dive Deep (6) - OPS Review
        • How AWS SDM Dive Deep (7) - Bar Raiser
      • You are a manager, but are you a coach?
      • What an SDM can learn from swimming coach
      • Building a Team like a Waterpolo Coach
      • What a SDM can learn from a new programming language?
      • Should a SDM be able to code like a SDE?
      • Manager, Leader and Ruler
      • Performance Evaluation - Scope, Complexity and Impact
      • A Manager’s Vision
      • A Manager's Judgment
      • Build team with a soul
      • Build a learning organization - tech talk
      • Should You Become a Manager?
      • Becoming a SDM
    • Lead Business Application Team
      • Platform Team and Business Application Team
      • Page
    • What should you expect from your manager?
    • Build a Team like a Human Learning System
    • A New Manager's Tribal Survival Guide
    • SDM should Advocate for Intention Revealing Interface
    • A 30 minutes daily standup? You are doing it wrong!
    • Project Status Meeting that Takes an Hour? You are doing it wrong!
    • How to Ask Questions as a New Manager
    • Constructive Feedback: A Managerial Dialogue
    • Distinguishing "Improvement" from "Development" Feedback
  • Interview Tips
    • Level of Your LinkedIn Profile?
    • Make it personal
    • Tell me about yourself in 3 minutes
  • Import
Powered by GitBook
On this page

Was this helpful?

  1. Interview Tips

Level of Your LinkedIn Profile?

ā€œHow do we map people’s profiles on LinkedIn to Amazon’s job levels?ā€, a recruiter friend at work asked me today. ā€œWell, good question. I’ve been thinking about this ā€¦ā€ I can put LinkedIn profiles into three buckets: 1. Skill based profile. People with this kind of profile will put their technical skills on top of their "About", which is a sign they don't have much work or life experience. College graduates may put their courses and GPA there. Junior software engineers tend to put Java, C# and Python etc. In Amazon's leveling, these profiles roughly map to L4. 2. Experience based profile. People with this kind of profile will put their companies, products or most worthy projects on top of their ā€œAboutā€. They are at the middle stage of their careers. If their companies or products are well known, the profiles may get a lot of attention from recruiters. But it might be hard to tell what ā€œroleā€ they really played in these projects. It is usually a sign that they were contributors of big deliveries, not the leaders. People at this stage of their career require good environments to perform well. They don't have enough capacity yet to change a bad environment into a good one by themselves. In Amazon's leveling, these profiles roughly map to L5. 3. Result based profile. People with this kind of profile will put their major deliveries’s measurable results and impacts on their ā€œAboutā€. They've done something worthy. They can honestly claim the credit under their names. They are at senior positions of their companies. Being put into challenging environments they can influence the environments for the better. In Amazon's leveling, these profiles map to L6 or above. Now nothing is set on the stone. Someone maybe extremely talented and able to perform at L5+ level, but they never have the opportunities to demonstrate their capabilities. On the opposite side someone may have very impressive company names in their work history, and solid measurable results too, just because they showed up at the right place and the right time. All data lies; humans are biased by nature, otherwise we wouldn't have survived the evolution. What I learned through reading LinkedIn profiles is to accept the data as just one aspect of the truth and be conscious about the bias of the data, and my own bias on profiling. Are there other buckets in LinkedIn profiles? Sure, I can name a few. But they are not very relevant to we commons. (A) Profiles of people at senior leadership positions of well known companies. People with that kind of profile don't need to say much about themselves. The positions tell the stories. (B) Profiles of people with extreme impact in the industry. Their profiles are usually very terse. The shorter the better! For example, I found this profile on LinkedIn: ā€œMain Linux kernel developer since 1991, still active maintainer. Original author and architect of Git ...ā€ Can you guess who he is?

PreviousDistinguishing "Improvement" from "Development" FeedbackNextMake it personal

Last updated 1 year ago

Was this helpful?