Senior Software Engineer

Salesforce

•  Worked as a Senior Software Engineer in the Platform Cloud at Salesforce.

•  Responsible for developing, designing and implementing highly scalable solutions using Java, Python etc and deploying on multi-cloud platforms using devops

• Working as a Software Engineer in the Regulatory Compliance team under the Platform Standards Cloud at Salesforce.com.

• Worked as a Software Engineer MTS in the Airgap Isolation team under Enterprise Foundation Cloud at Salesforce.com.

• Responsible for design, development, test, implementation of highly scalable tools to be provided to Salesforce customers

Software Engineer

• Worked as a level 2 software engineer in the multi-cloud architecture team of SAP Labs.

• Worked with teams across the globe to make the clients experience smooth across all hyper-scalars (Azure, AWS, GCP and Ali Cloud).

•  Architected and developed applications end to end, worked on multiple project with technology stack involving Golang, Java, Python, ReactJS, Shell Scripting, AWS, GCP and Alicloud.

•  Deployed applications to cloud with knowledge into domains of compute, storage, networking, docker, K8s etc.

Software Engineer II

Tesla

• Worked as a Software Engineer in the Master Data Management team of Tesla.

• Worked on the enterprise retail planning modules used by departments of Tesla using Angular5, JQuery, C# SQL Server using MVC pattern and other web development frameworks.

• Responsible for the development of backend APIs, front-end design, end to end scalable applications and migration of existing code to new technologies.

Amazon

• Worked in the E-Commerce Foundation Technology team of Amazon.com in Seattle HQ.

• Worked on an independent tool from end to end.

• Responsible for the design, coding, testing/QA and deployment of the CLI tool.

• Developed a client application which queries the NoSQL database used by Amazon.com, process the responses and dumps the entire scope in the AWS S3 bucket of customer.

• Implemented the rate limiting, multithreading, scalability to multiple hosts, authentication, unit, integration and stress testing using JUnit and Mockito and delivered a working CLI tool in deployment with the customer onboarding procedure.

Software Engineer Intern

I am a results-driven software engineer with 7+ years of experience leading teams and building scalable systems at top-tier companies like Meta, Salesforce, and Tesla. Currently, I lead multiple work streams for Meta's Family Center product, impacting millions of users across platforms like Facebook, Instagram, Messenger, and more.

My expertise lies in leading tech teams, strategizing roadmaps, designing and implementing scalable APIs, mentoring individuals and delivering products in fast-paced environments. I thrive at the intersection of product development and infrastructure, with a strong focus on engineering excellence and career growth.

Beyond coding, I write The Hustling Engineer, a newsletter that helps software engineers navigate their careers and grow in the tech industry. I’m also a vivid cricket fan who finds life lessons in sports analogies.

Let’s connect to discuss tech, career growth, or cricket!
📩 Reach me at: linktr.ee/hemant.pandey

A Staff SWE offer of $277,407 in India


Stripe had offered more than 2.3 crore INR for a Staff Software Engineer with 12 years of experience

Of course, the person deserved it and they probably had exceptional skills

But I am so glad to see tech companies pouring such huge compensation in India. I am also seeing great offers from other companies as well

If you don't know, a $277,000 salary in India is equivalent to $800K-900K dollar in US


#salary

Hemant Pandey

Senior Software Engineer | Ex - Meta, Salesforce, Tesla | Helping Software Engineers 2X their compensation | Featured on Business Insider and Times Square

Talks about #business, #software, #wellbeing, #motivation, and #technology

Being a Software Engineer is tricky

- Experienced folks cannot afford to lose jobs as they have EMIs and kids fees

- New grads don’t even know what to do. DSA might not be relevant a year from now too

- There is a great probability of AI taking over multiole SWE jobs. Yes, it will create new ones but will probably kill more

This is a great time to build a side hustle or atleast start exploring new things

graphical user interface, text, application, chat or text message

AI is not replacing software engineers, it’s supercharging them.

We’ve entered an era where coding is no longer just about writing lines of code.

With AI-powered tools, engineers can focus more on solving problems, building smarter systems, and shipping products faster than ever.

From writing boilerplate code in seconds to automating entire DevOps pipelines, these tools don’t just improve productivity but also enhance accuracy, speed up debugging, and even explain code logic like a human mentor.

Here are 13 AI tools every software engineer should know:

🔹 GitHub Copilot – Your everyday coding partner for faster boilerplate and autocomplete.
🔹 Amazon Q Developer – AI optimized for AWS development.
🔹 Cursor – A deep, agent-like IDE for smarter workflows.
🔹 Tabnine – Multi-language AI coding with refactoring support.
🔹 SonarQube & SonarCloud – AI-driven code quality & security.
🔹 Claude (LLM) – Explains code logic with human-like reasoning.
🔹 Vibe Coding Tools – Prototype faster with voice/prompt-based coding.
🔹 Eclipse Theia (AI) – Customizable open-source IDE with AI baked in.
🔹 Agentic SDLC Tools – Full-cycle DevOps automation.
🔹 Zed / Claude Code – For experimental and creative AI coding.
🔹 OpenAI Codex (ChatGPT) – Autonomous code generation right in ChatGPT.
🔹 Pieces – Manage & recall smart code snippets instantly.
🔹 Qodo – Enterprise-grade code generation & testing.

The future of software engineering is not about writing more code, it’s about writing better code, faster. 

With the right AI stack, developers can move from problem-solving to innovation at record speed.

The hardest shift in my career wasn’t learning new tech

It was learning to lead and delegate

Every engineer dreams of climbing the ladder.
But the higher you go, the less it’s about just coding

It’s about growing impact, leadership, and vision

Here’s how the ladder really looks:
• Junior
Learn core skills, fix bugs, follow team processes.

• Mid-Level
Own features, debug well, write docs

• Senior
Lead projects, mentor juniors, shape architecture, cross-team work.

• Staff
Drive cross-org work, solve big problems, align with business.

• Principal
Influence org strategies, mentor seniors, scale systems.

• Architect
Set long-term principles, design enterprise systems, push innovation.


The pattern is that the higher you climb, the more your success depends on communication, mentorship, and business alignment

The scope shifts from code ➝ projects ➝ teams ➝ organization ➝ industry.

If you like this, help this spread by reposting 🔃

Last month, I met 3 people in Bangalore and all of them had one thing in common:

They had quit jobs paying 40–50L a year to start building

That used to be a Silicon Valley thing
Where quitting your job for was celebrated

Now, I see the same culture rising in India

The mindset is changing
From chasing promotions → to chasing ideas
From stability → to taking risks

It feels like we’re at the beginning of India’s next entrepreneurship wave

And honestly, it’s exciting to watch even college students building things on the side


Have you noticed this shift too?

Who saves more money?

A Google L5 Software Engineer in:

Toronto (L5 SWE)
	•	Annual salary: ₹2.2 Cr (~CAD 360K)
	•	Income tax: ~₹72L
	•	Rent (2BHK in suburbs): ~₹36L/year
	•	Childcare (daycare/school): ~₹12–18L/year
	•	Groceries & food (for 3): ~₹12L/year
	•	Transport (car lease, fuel, insurance): ~₹7L/year
	•	Other expenses (health, utilities, internet, entertainment, clothing): ~₹12L/year
	•	Total expenses: ~₹1.52 Cr
	•	Net savings: ~₹71L/year


India – Bangalore (L5 SWE)
	•	Annual salary: ₹1.2 Cr
	•	Income tax: ~₹40L
	•	Rent (2BHK in good area): ~₹7.5L/year
	•	Childcare (preschool/school): ~₹3–6L/year
	•	Groceries & food (for 3): ~₹7L/year
	•	Transport (car/OLA/Uber): ~₹2L/year
	•	Other expenses (health, internet, clothing, entertainment): ~₹5L/year
	•	Total expenses: ~₹60.5–65.5L
	•	Net savings: ~₹56.5–60.5L/year


The numbers are for a family if 3. I’ve used data points from levels.fyi and numbeo


Is the difference enough to relocate to Canada?

PS : This is only for folks who wants to move only for financial growth

If you have other reasons to move, you should definitely do it and make a decision yourself

But, if you are a top 0.5% earner in India, moving to Canada does not make sense from a financial lens


What do you think?

If you feel system design is overwhelming, read this


It’s actually just 10 building blocks stacked together.

From handling millions of requests to keeping apps secure and reliable, system design is the core

But most engineers complicate it

Here’s a simplified cheat sheet that breaks system design into 10 core components:

———	
1.	Load Balancing → Round Robin, Least Connections, Consistent Hashing, API Gateway.

2.	Caching → Redis, Memcached, CDN, Write-Through/Write-Back, Edge Cache.

3.	Databases → MySQL, PostgreSQL, MongoDB, Cassandra, DynamoDB.

4.	Messaging → Kafka, RabbitMQ, Amazon SQS, Google Pub/Sub.

	
5.	Consistency → CAP Theorem, Strong vs Eventual, Quorum Consensus, Raft.

	
6.	Resilience → Circuit Breakers, Retry with Backoff, Chaos Testing, Failover.

	
7.	Scalability → Horizontal/Vertical Scaling, Auto Scaling, Partitioning, Sharding.

	
8.	Observability → Logging, Metrics, Tracing, Dashboards, Alerts.

9.	Security → OAuth 2.0, JWT, API Keys, Encryption, Secret Management.

10.	Data Processing → Spark, Flink, Hadoop, ETL, Data Lakes.

———

Whether you’re prepping for a system design interview or building your next big project, understanding these 10 layers will make it simple

#systemdesign

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You can be a 10x engineer and still fail tech interviews

Because interviews don’t care if you can code.
They care if you can communicate

Tech interviews aren’t just about solving LeetCode

They test how clearly you think, how calmly you respond, and how well you communicate under pressure

Here are 10 mistakes that quietly kill offers:

❌ No prep for behavioral questions → no STAR stories ready
❌ Rushing into code → skipping clarifications
❌ Ignoring edge cases → missing the tricky inputs
❌ Going silent → not explaining your thought process
❌ Over-optimizing too early → polishing before solving
❌ Hand-wavy system design → vague answers, no structure
❌ Skipping mock interviews → zero practice under pressure
❌ Inconsistent resume stories → unclear or exaggerated examples.
❌ Freezing when stuck → panic instead of recovery
❌ Forgetting soft skills → no curiosity, no collaboration vibe


Passing interviews isn’t about being the smartest coder in the room

It’s about showing you can think, adapt, and stay composed when the spotlight’s on you in

👉 Which of these have you seen (or fallen into) the most?

#softwareengineering

My regular thoughts on a Monday morning
Also, looking for partners to buy a farm 🙃

graphical user interface, text, application

AI is living in 2025 but some billing systems are stuck in 2015

This mismatch is costing enterprises millions

I keep seeing it:

	•	LLMs and AI agents rolling out every quarter
	•	But pricing changes take months
	•	Finance & product teams fighting fires in spreadsheets


It’s not just slow
It’s expensive

Orb’s ROI Calculator shows exactly how much revenue and productivity you could unlock

Check here:
https://lnkd.in/giXqMh_G


If you’re building for the future, your billing shouldn’t be holding you back

If I just have 30 days to fast track my tech Interview preparation, I would do this

This is a fast-tracked step-by-step roadmap that combines structured learning with AI-powered tools to make your preparation smarter, faster, and more efficient

🔹 Week 1: Foundations & Patterns

🔹 Week 2: Trees, Graphs, Recursion & DP

🔹 Week 3: System Design & Backend

🔹 Week 4: Behavioral, Resume & Full Mocks

Check out the infographics for details

This roadmap isn’t just about solving problems

It is about learning how to think like an engineer under interview pressure and using AI to your help

#softwareengineering #interviews

15 common career traps every software engineers should avoid


These are from my experience working with multiple software engineers and from my career mistakes

1. Staying Too Long in Your Comfort Zone 
2. Ignoring System Design
3. Over-Reliance on StackOverflow, ChatGPT etc
4. Not Investing in Fundamentals
5. Avoiding Mentorship
6. Poor Communication Skills
7. Chasing Only New Shiny Tech
8. Neglecting Soft Skills
9. Staying Too Long in One Role 
10. Ignoring Business Context
11. Failing to Document & Share Knowledge
12. Not Contributing to Code Reviews
13. Ignoring Work-Life Balance
14. Not Building a Personal Brand 
15. Thinking Code is Everything


You can fall and learn or learn from others. Both are good ways to learn, the later is just faster

#career #softwareengineering

10+ Top AI Agents Transforming Software Development in 2025


1. Vitara AI → Full-stack autonomous AI agent for end-to-end software workflows

2. GitHub Copilot → AI-powered code completion & real-time coding suggestions

3. AlphaCode (DeepMind) → Advanced algorithmic problem-solving & coding challenges

4. DeepCode (Snyk Code) → AI-driven vulnerability detection & code analysis

5. Amazon CodeWhisperer → AWS-focused secure coding assistant

6. Qudo AI → Enterprise-grade AI agent for compliance & productivity

7. Mutable.ai → Feature generation & iterative code improvement

8. IBM SWE-Agent Suite → Secure, enterprise-ready AI for compliant development

9. SWE-Agent (Princeton) → Multi-agent AI simulating a complete dev team

10. Devin (Cognition AI) → First fully autonomous AI software engineer

11.Replit AI Agent → Browser-based real-time coding & debugging help

12. AskCodi → Natural language-to-code AI for SQL, documentation, and coding assistance

13. Tabnine → Privacy-first AI code assistant supporting 70+ languages

14. ChatDev → Multi-agent AI for simulating enterprise software projects

15. Codeium AI → Lightweight AI assistant with speed & privacy focus


Share and repost with folks who might find it useful 🔃

#softwareengineering

🚫 Google rejected me 4 times.
🚫 Amazon rejected me 4 times.
🚫 Microsoft rejected me 3 times.
🚫 Meta rejected me 2 times before I finally got in.

That’s 13 rejections from the companies every software engineer dreams of

But here’s what people often forget:
Despite all these rejections, I still went on to receive 10+ offers in my career


And by most benchmarks, I’ve done above average as a software engineer.

The reality is:
• Careers are marathons, not sprints.
• You can be rejected 10 times and succeed once, and only that one “yes” will matter.
• Rejections are feedback, not a final verdict


So if you’re going through back-to-back rejections, don’t compare yourself with others

Keep learning
Keep applying
Keep showing up

Your breakthrough will come

And when it does, it will overshadow every rejection that came before


I am accepting applications for my next cohort, you can check out the link in comments

Most software engineers are using Generative AI but very few know how to dive deep into it


Here’s how you can go from beginner to expert in 2025 👇

Basics: neural nets, transformers
	•	Play with GPT-2, Hugging Face
	•	Text + image preprocessing
	•	Learn how to evaluate models

Intermediate
	•	Fine-tune GPT, BERT, LLaMA
	•	Work with diffusion (DALL·E, Stable Diffusion)
	•	RAG with vector DBs
	•	Build image pipelines & chatbots
	•	Prompt engineering with RLHF

Advanced
	•	Multi-modal AI (text + image + audio)
	•	Train custom models with distributed computing
	•	MLOps for scaling
	•	AI Agents, LangChain, enterprise RAG
	•	Cloud deployment (AWS, GCP, Azure)

Save this as your Generative AI roadmap for 2025

#softwareengineering #genai

20 Must-Have Skills for the top 1% Software Engineers in 2025


Software engineering in 2025 has evolved

It doesn't just require coding but also mastering tools, AI, and scalable systems

To be in top 1%, we must balance fundamentals with trending technologies and be a generalist

Here are the 20 essential skills top software engineer needs in 2025 👇

——
1. Programming Languages – Write real-world apps in Python, Java, Go.
2. Algorithms & Data Structures – Strong foundations for efficient problem-solving.
3. Generative AI – Leverage GPT or Claude for automation.
4. Version Control (Git) – Manage branches, merges, and collaboration.
5. Debugging & Testing – Detect and prevent bugs automatically.
6. Databases – Use SQL and NoSQL effectively.
7. Operating Systems – Understand memory, processes, and threads.
8. Networking Basics – Grasp TCP/IP, DNS, API communication.
9. Cloud Computing – Build and scale with AWS/Azure.
10. AI Tooling & Agents – Use LangChain, AutoGPT, agent workflows.
——

[Explore more in the infographic]

The best engineers won’t just code, they’ll design, automate, and innovate responsibly

Thoughts?

#softwareengineering

Want to go from Junior → Senior Developer?


Here’s the roadmap I wish someone handed me on Day 1

Becoming a senior developer is not just about experience but also about mastering core skills and driving meaningful impact

The journey requires building strong coding practices, system design knowledge, collaboration, and the ability to solve complex problems

With consistent effort, mentorship, and ownership, you’ll move from writing code to shaping projects and guiding teams

Here is a quick overview : 

1. Programming Fundamentals
2. Learn Data Structures & Algorithms
3. Version Control (Git)
4. Write Clean Code
5. Testing & Debugging
6. Databases
7. APIs & Integrations
8. Deployment Basics
9. Own Small Projects
10. Communication & Collaboration

[Explore More In The Infographic]

Want to level up faster? 
Save this roadmap and start checking off steps today

#softwareengineering

This is your complete map of Modern Software Development

Software development today is not just about writing code, it’s about mastering a full ecosystem of tools, frameworks, and practices. 

This Modern Software Development Web is your visual guide to every layer, from beginner essentials to advanced engineering

————

1. Languages & Frameworks
Start with HTML, CSS, and JavaScript, then grow into TypeScript, Python, Java, and modern frameworks like React, Angular, Express, Spring Boot, and FastAPI.

2. Version Control & Collaboration
Learn Git fundamentals (branching, merging, pull requests) with platforms like GitHub, GitLab, and Bitbucket. Tools like GitKraken make teamwork even smoother.

3. Frontend & Backend Development
Master UI frameworks (Vue, Angular, Svelte), APIs (REST, gRPC, GraphQL), and backend stacks with Node.js, Django, and NestJS.

4. Networking & Security
Understand the backbone of the internet: DNS, HTTP, SSL, and tools like Postman, Wireshark, and NGINX. Strengthen applications with OAuth2, JWT, and RBAC.

5. Cloud & DevOps
Explore AWS, Azure, and Google Cloud alongside CI/CD pipelines powered by GitHub Actions, Jenkins, CircleCI, Docker, Kubernetes, and Helm.

6. Databases & System Design
Get hands-on with SQL (MySQL, PostgreSQL) and NoSQL (MongoDB, Redis, DynamoDB). Learn caching, queues, and scalable architectures.

7. AI, Automation & Integrations
Use AI assistants like GitHub Copilot and Code Whisperer, automation with Zapier and Make, and advanced ML integrations with OpenAI and LangChain.

8. Testing & Debugging
Ensure quality with unit, integration, and load testing using Jest, Cypress, Postman, and Selenium.

9. Portfolio & Real-World Practice
Showcase your work with GitHub Projects, resumes, and APIs while building real-world apps that prove your skills.

———


Whether you’re just starting with HTML & CSS or building cloud-native systems with Kubernetes & AI integrations, this web maps out the path to becoming a complete software developer

Save this roadmap to guide your end-to-end software development journey

Let me know if I missed anything here

#softwareengineering

This is what top mid-level engineers are making in India right now 👇

	•	Salesforce (SMTS): 65+ LPA
	•	Google (L4): 80+ LPA
	•	Confluent (SSE): 70+ LPA
	•	Amazon (SDE2): 65+ LPA
	•	Stripe (L2): 90+ LPA
	•	Atlassian (SDE2): 70+ LPA
	•	Uber (SDE2): 65+ LPA
	•	LinkedIn (SSE): 75+ LPA
	•	Microsoft (L62): 60+ LPA
	•	Meta (E4): 75+ LPA
	•	Rippling (SDE2): 70+ LPA
	•	Tower Research (SDE2): 60+ LPA
	•	Coinbase (IC4): 75+ LPA
	•	Rubrik (SDE2): 80+ LPA
	•	Apple (ICT3): 60+ LPA
	•	Roku (SSE): 60+ LPA
	•	Harness (SSE): 70+ LPA
	•	Okta (SSE): 60+ LPA
	•	Turing (SSE): 65+ LPA
	•	Oracle OCI (SSE): 60+ LPA
	•	Airbnb (SDE2): 80+ LPA
	•	Cohesity (Sr. MTS): 85+ LPA
	•	Databricks (L4): 80+ LPA
	•	Glean (L2): 90+ LPA

These are real numbers
And most people are still sleeping on them

A few months of right prep can change your career and your family’s future

The opportunity is right there

HUSTLE your way up

#softwareengineering

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