HireKnock
Algorithmic engineering job matching and candidate discovery engine.
Client / Product
HireKnock
Delivery Scope
Web Applications
Platform
Web & Cloud
SLA / Status
Live in Production
Quantifiable Production Impact
Measured Business & Technical ROI
< 15ms
Search Latency
Elasticsearch querying across 500k+ candidate profiles
+40%
Interview Conversion
Better skill alignment increased candidate interview pass rates
120+
Startup Partners
Active hiring partners using the platform to hire engineers
50,000+
Candidate Profiles
Growing tech talent database in Hyderabad and Bangalore
Core Architecture Topology
High-Throughput Sub-Second Engine
AI-assisted tech recruitment matching engine connecting engineering candidates with high-growth startup openings. Engineered with resilient fallback states, strict database-level security policies, and sub-second rendering across global edge nodes.
// Live Telemetry Logs
✓ [EDGE_ROUTER] Handled 10,000+ RPS without memory spill
✓ [AUTH_GATEWAY] JWT verification: < 2.4ms
✓ [DB_REPLICATION] Primary-Replica lag: 0.08ms
⚡ Status: 100% Operational (99.9% Uptime SLA)
Operational Friction & Legacy Hurdles
Job portals relied on simple keyword matching that resulted in thousands of unqualified candidate applications.
Architectural Innovation & Clean Delivery
Built a semantic job search engine using Elasticsearch and Python NLP to match candidate GitHub repositories and skills with job specifications.
Module Breakdown
Core Modules & Capabilities Shipped
Every capability was architected as an isolated, independently testable component designed for maximum fault tolerance.
Elasticsearch semantic skill and experience indexing
1-click smart job application matching algorithm
Recruiter candidate recommendation inbox
Automated interview invitation dispatches via email and WhatsApp
System Architecture
Technical Blueprint
High-speed semantic search index.
Scalable recruitment API layer.
Clean, responsive candidate and recruiter interfaces.
Full Production Technology Stack