Technology requirements change quickly and vary by role. This is an opinionated skills checklist, not a live labor-market dataset; validate priorities against current postings for the jobs you actually want.
AI-assisted product and engineering work now appears across many role descriptions. Treat it as one capability among fundamentals, and show a concrete use case rather than listing a tool name alone.
Skill #1: Cloud Platforms (AWS > Azure > GCP)
Cloud knowledge is common in backend, platform, and DevOps roles. Match the provider and depth to your target postings, and prioritize deployed work over collecting certificates without practice.
Skill #2: Python
Python has become the lingua franca of tech — it appears in data science, ML, backend, automation, DevOps, and AI application development. If you write Java or JavaScript professionally and don't know Python, spending 4-6 weeks getting comfortable with it pays off across a surprising number of domains.
Skill #3: LLM Integration / GenAI Development
The highest-premium skill in Indian tech right now. Companies across sectors — fintech, edtech, HR tech, e-commerce — are integrating LLMs into their products. Key sub-skills: OpenAI/Anthropic API, RAG pipelines, LangChain/LlamaIndex, prompt engineering, vector databases. A deployed GenAI project on your resume stands out enormously.
Skill #4: Kubernetes & Docker
Docker is useful across many delivery workflows; Kubernetes matters when the target role actually operates containerized systems at scale. Demonstrate debugging and deployment decisions, not just vocabulary.
Skill #5: System Design Capability
System design and distributed-systems knowledge often appear in experienced engineering roles. The useful signal is your ability to reason about scale, reliability, data, and trade-offs—not an unsupported salary premium.
Skill #6: TypeScript
TypeScript is common in modern Node.js and React codebases. If it appears repeatedly in your target postings, learn it by converting or building a real project and explaining the type-safety decisions you made.
Skill #7: DSA (Data Structures & Algorithms)
DSA has been required for product company interviews for a decade and hasn't changed. Striver's A2Z DSA Sheet, NeetCode 150, and Leetcode's roadmap make structured preparation easier than ever. If you're aiming for a product company and haven't solved 100+ problems, DSA is your highest-priority prep item.
Skill #8: React.js with Next.js
React remains the dominant frontend framework. Next.js has become the standard for full stack web development — its App Router and Server Components make it the first choice for new projects at most Indian startups. If you know React but haven't used Next.js 14+, spend 2-3 weeks on the App Router paradigm.
Skill #9: SQL & Data Fluency
Engineers who can write complex queries — window functions, CTEs, query optimization, index design — are in demand beyond just data science roles. PostgreSQL is the most valued SQL dialect for application development in 2026.
Skill #10: Observability & Monitoring
Companies increasingly want engineers who understand logging strategy, metrics (Prometheus/Grafana), distributed tracing (OpenTelemetry), and alerting. Sentry for error tracking and Datadog for APM are common in Indian product companies.
How to Show These Skills on Your Resume
- "Migrated monolith to 8 microservices on Kubernetes (EKS), reducing deployment time from 2 hours to 12 minutes"
- "Built RAG-based document Q&A using LangChain + Pinecone + GPT-4, deployed for 500 internal users"
- "Optimized PostgreSQL queries with indexing and query rewriting, reducing P99 latency from 3.2s to 180ms"
- "Implemented Prometheus metrics and structured logging, reducing MTTR for production incidents from 45 min to 8 min"
Skills That Have Cooled
| Skill | Status | Why |
|---|---|---|
| Angular | Declining for new projects | React/Next.js has won the frontend war in most Indian startups |
| Blockchain / Web3 | Niche only | Post-2022 crypto winter, most Web3 hiring in India collapsed |
| Hadoop / MapReduce | Legacy | Being replaced by Spark, Flink, and managed cloud data warehouses |
| Manual QA | Contracting | Being partially automated; shift-left testing reduces manual QA headcount |
| jQuery | Legacy only | Still running on old codebases but not a skill to learn in 2026 |