Software Engineering (India)
AI-powered hiring for Backend, Frontend, Data, DevOps/SRE, and QA roles with predictive signals on attrition, ramp speed, and technical depth.
Signals we evaluate
Every candidate is automatically analyzed for these engineering-specific signals, combining our universal AI predictions with role-specific requirements:
Backend, Frontend, Data, DevOps, SRE, QA alignment
Java, Python, React, AWS, K8s expertise
Low churn and consistent employment
Startup vs GCC vs product company experience
IC → lead → architect progression
Worked with PM, design, QA teams
Shipped features, reduced latency, improved metrics
Quick onboarding in previous roles
Predicted success in first 90 days
Likelihood to stay 12+ months
Customize with your requirements
Layer on role-specific filters to find exactly who you need:
Specific tech stack
Spring Boot + Kafka + PostgreSQL, or your exact stack
Cloud provider
AWS, Azure, or GCP experience
Team size experience
Small squad vs large engineering org
Domain expertise
Fintech, healthtech, e-commerce background
Real-world impact
"We were hiring Backend Engineers for our GCC in Bangalore. TalentGPT's tech stack match and environment familiarity signals helped us find candidates with Spring Boot + Kafka experience who'd worked in similar setups. Time to offer dropped by 35%, and our 90-day success rate jumped from 65% to 89%."
- VP Engineering, Fintech GCC
Ready to hire better engineers?
Try TalentGPT with one open role - see predictive signals on every candidate with detailed reasoning.
Try with one roleRelated reading
How to source, screen and close engineers in India.
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- How to Hire a Data Scientist in India Without Hiring the Wrong OneData scientist is the least standardised title in Indian tech. Three candidates with the same label can do three unrelated jobs. Here is how to define what you need and screen for it.
- Boolean Search vs Natural Language Sourcing: What Changed and What Did NotBoolean strings and LinkedIn X-ray were the recruiter craft for twenty years. Natural language search replaced most of that skill. Here is what it actually replaced, and the one thing it did not.
- Notice Period in India, Explained: 30, 60 and 90 Days, Buyouts and LWDNotice period decides more Indian hires than salary does, and almost nobody screens for it properly. Here is how notice actually works, what it runs by employer type, and how to shorten it legitimately.