The Service Company
Escape Plan

Stuck in TCS, Infosys, Wipro, or HCL?
The longer you stay, the harder it is to leave.
Check your "Career Rot" level below.

Your Personalized Escape Protocol

Take the quiz above to see your recommended path highlighted. All roadmaps are shown below for reference.

Path: Support / Operations → Engineer

Strategy: The "Automation" Trojan Horse

External recruiters ignore "Support" titles. You must hack your way out.

• Step 1: Code your job. If you restart servers manually, write a script. Use AI coding assistants (GitHub Copilot, Cursor) to accelerate. Put "Built Automation Tools" on your resume.
• Step 2: Internal Switch. Apply for QA/Dev roles inside your company. The bar is lower.
• Step 3: The Jump. Once you have the "Engineer" title for 6 months, apply to startups. Target companies hiring for AI-ops or platform automation.

Path: QA / Tester → SDET / Engineer in Test

Strategy: The SDET Pivot

Manual testing is irrelevant. You need to become an "Engineer in Test".

• Must Learn: Playwright (preferred over Selenium in 2026) + One Language (Python/TypeScript).
• The Project: Write an end-to-end test suite for a public website (e.g., Amazon search flow) and put it on GitHub. Bonus: add API contract tests.
• AI Edge: Learn to write AI-assisted test generation prompts — QA teams at product companies increasingly use LLM-driven test scaffolding.
• Target: Series A Startups looking for their "First QA Hire".

Path: Web Developer → Product Company Engineer

Strategy: The Portfolio Play

You have the right stack, but the wrong label. Show you can build product.

• Build ONE Complex App: Not a ToDo list. Build a Trello Clone, a real-time Chat App with WebSockets, or an AI-powered tool (RAG chatbot, document summarizer).
• DSA: Solve Blind 75 Leetcode. Product companies WILL ask this. Use NeetCode roadmap for structure.
• 2026 Edge: Add an AI integration layer (LLM API, vector search) to your project — it instantly differentiates you from other service-company applicants.

Path: Mobile Developer → Product Company

Strategy: The App Store Validation

Mobile devs are judged by shipped apps.

• Ship It: Publish one app to Play Store / App Store. Even a simple utility.
• Focus: Clean architecture (MVVM/Bloc) and UI Polish.

Path: Data / AI Professional → Product Data Engineer

Strategy: The Real-World Project

Don't just do Titanic Kaggle. Solve a messy problem.

• Project: Scrape a website, clean the data, and visualize insights. End-to-end pipeline. Or build a RAG system on a real dataset — recruiters notice AI-native data work in 2026.
• Stack: Python + SQL + dbt or Airflow for pipelines; add LangChain/LlamaIndex for AI-data projects.
• Target: "Data Engineer" roles are easier to get than "Data Scientist" roles initially. "AI Engineer" bridges both if you can deploy.

Path: Legacy / Proprietary Stack → Modern Engineering

Strategy: The Strangler Fig

You have "Mainframe" or "SAP" on your resume. It's poison to startups.

• Rebrand: "Maintained Legacy Code" → "Refactored Monolith to Services".
• Side Project: You MUST build something in a modern stack (MERN/Go/Python+FastAPI) to prove you aren't a dinosaur. Bonus: containerize it with Docker and deploy on AWS/GCP free tier.
• AI Angle: Many legacy modernization projects now involve AI-assisted code migration. Position yourself at that intersection — it's rare and valued.
• Target: Banks/Fintechs. They value legacy knowledge + modern intent.