A Bangalore-based fintech, Series B Indian unicorn, needed a senior Frontend ReactJS engineer on a 6-month contract for a regulated-product feature that had to ship before a regulatory comment period closed. Hybrid working (3 days in office) was non-negotiable for the role because of access requirements to the staging environment. The comp band was ₹7–9 LPA prorated for the 6-month term. The team had been searching for 5 weeks and had interviewed 11 candidates through two staffing agencies — none had cleared the live coding round. The CTO was getting pressure from the regulator to demonstrate progress; the next milestone was 7 weeks away.
Sources: Internal database, Naukri, LinkedIn India, Instahyre, Cutshort
Three constraints made this search hard. First: the hybrid 3-days-in-office requirement at a Bangalore fintech is competitive — most senior React engineers in Bangalore had remote-first roles by 2024–2025 and were unwilling to give that up for a 6-month contract. Second: the 6-month contract structure (versus full-time) cut out 80% of the senior-React pool by default. Most senior engineers want full-time roles for stability and equity. Third: the regulated-product feature meant the engineer needed prior experience with frontend patterns under regulatory data constraints — feature flags scoped by user audit class, error-state UX that satisfied compliance, deterministic rendering for audit logs. These are not generic React skills. The two staffing agencies the client had used pre-engagement had been sourcing generic senior React candidates and failing the live coding round. We couldn't compete on volume; we had to compete on filter precision.
We treated Bangalore-location verification as the first hard gate. The 7,360 applicant figure looks impressive but only 413 of those candidates were verifiably Bangalore-based and willing to commute three days a week. We then filtered hard on contract-experience signal — candidates who had shipped on 3–9 month contracts in the past, not just full-time roles. That cut to a real pool of ~40. Senior recruiter screen surfaced regulatory-frontend exposure in 25 of them. Live coding (90-minute, run by our senior recruiter) was scoped to a real regulated-product pattern: design a React state management layer for a transaction-listing screen where each row's visibility depends on the viewing user's audit class. Five candidates produced clean solutions; the other 20 conflated visibility with rendering (a common mistake that breaks audit logs). The five clean-solution candidates went to the client. The client's engineering manager ran 90-minute live coding focused on error-state design under regulatory constraints. The winning candidate (Bangalore-based, 6 years experience, previously shipped two contracted regulated-product features at another Bangalore fintech) walked into the interview with the cleanest state-isolation pattern and explained the audit-class trade-offs without prompting.
Vetted in 48 hours of sourcing. Offer accepted day 8 at the top of the comp band. First day in office day 12; first feature merged to staging in week two of the engagement. Regulatory milestone hit 4 days ahead of the 7-week deadline. The engineer's regulated-product expertise unblocked two other features the team had been deferring, so the 6-month contract effectively delivered work the client had scoped for 8 months. Client renewed the contract twice — at the 6-month mark and again at month nine — and converted the engineer to full-time at month thirteen with a 22% comp uplift. Client NPS at end of first contract term: 9/10. The conversion lift on the regulated-product flow was 30% versus the prior implementation. Three more roles closed through us in the following two quarters: a senior backend, a Staff iOS, and a Staff Data engineer.
30-min call with the engineering manager. Locked must-haves vs nice-to-haves. Critical filters: Bangalore-based (or willing to relocate immediately) and 6-month contract acceptable.
Funnel pulled 7,360 applicants across five sources. Heavy AI filtering on contract-experience signals plus Bangalore-location verification. 413 reached the geography-confirmed pool.
5 finalists presented to the client. Their EM ran 90-minute live coding sessions (React state management under regulatory data constraints). The hired candidate solved it with the cleanest state-isolation pattern.
Vetted in 48 hours of sourcing. Offer accepted day 8. Started in Bangalore office on day 12. First feature shipped to staging in week two of the engagement.
For Bangalore (or any specific-city) hybrid roles, location verification is the first filter, not the last. We've seen agencies waste two weeks of a client's interview time on senior-quality candidates who turn out to be unwilling to relocate. Pinning the geography hard at the AI-scoring stage compresses the funnel by an order of magnitude. The second lesson: contract-experience screening is a hidden second filter. Senior engineers who have shipped multiple contract engagements have different defaults than senior engineers who have only worked full-time — they're more comfortable with deadline pressure, they ramp faster, they don't expect equity. For 6-month engagements, that defaults profile matters more than raw years of experience.