Land a High-Paying Tech Job in the AI Era with Mayank Pratap Singh

Hiring in tech has changed. AI tools screen resumes, interviews now test deeper problem-solving, and companies expect engineers who understand AI-assisted development.

I'm a backend engineer at Oracle Health and previously worked at Walmart Global Tech. I've been through these interview loops myself, and in this call I'll help you build a clear, practical plan to land your next high-paying role.

What we'll cover:

📄 Resume Review & Shortlisting -Line-by-line review of your resume - Making it ATS-friendly and impact-focused (metrics, not duties) - Positioning AI/LLM exposure on your resume, even from side projects - Referral and application strategy to actually get interview calls.

💻 DSA Round Preparation - Assessing your current level - Which patterns matter most and how to practise them efficiently - How to think aloud and communicate during coding rounds.

🧩 Low-Level Design (LLD) - How to approach LLD questions step by step - OOP principles and design patterns interviewers look for - Common problems (parking lot, rate limiter, etc.) and how to structure answers.

🏗️ High-Level Design (HLD) - A repeatable framework for system design rounds - Scalability, caching, databases, queues (Kafka) and trade-offs - What changes for senior vs mid-level expectations.

🤖 Staying Relevant in the AI Era - Which AI skills are worth learning for backend engineers (RAG, LLM integration, agentic workflows) - Using AI tools in your preparation without becoming dependent on them.

What you get:

• A personalised 4–8 week preparation roadmap
• Honest feedback on your resume and current level
• A written summary of action items after the call

Who this is for:

1. Software engineers with 0–6 years of experience targeting product companies
2. Engineers stuck at service companies who want to switch
3. Anyone preparing for backend/SDE interviews who wants a structured plan