A leading hospitality recruitment platform came to Armakuni for recruitment platform modernization at scale: microservices, serverless automation, intelligent matching, centralized analytics.
The challenge
A platform modernization engagement that addressed scaling, recruitment intelligence, and analytics in parallel, rebuilding Hcareers as a cloud-native foundation Virgil can build on for the next decade of hospitality hiring.
Scale: 600,000+ daily users at peak after scaling. Thousands of hospitality employers ranging from independent restaurants to multi-property hotel groups. Millions of applications processed annually across the platform.
What we built
Armakuni delivered recruitment platform modernization at scale: microservices, serverless automation, intelligent matching, centralized analytics. The engagement ran as multiple fixed-scope SOWs covering platform re-architecture, recruitment workflow redesign, analytics and observability, and ATS integration.
The outcomes
5 measurable outcomes shipped across the engagement. The ones that moved the business the most:
10x scaling capacity, now handling 600,000+ daily users at peak. The platform absorbs peak load without performance degradation, removing the seasonal capacity planning that consumed engineering attention before every busy hospitality hiring window.
60% faster search query response through Amazon OpenSearch and ElastiCache. Candidates and recruiters get sub-second results across millions of records, so the platform feels as responsive as the consumer apps users compare it to.
45% reduction in data indexing time. Optimized pipelines and parallel processing surface new jobs and updated profiles faster, closing the freshness gap that used to lose candidates to faster competitors.
80% reduction in manual recruiter tasks. Automated resume parsing, intelligent matching, asynchronous bulk posting, and ATS-integrated workflows let recruiters work shortlisted candidates instead of inbox triage.
Bulk job posting that completes in minutes rather than hours. For multi-property operators this removes the workflow friction that pushed enterprise customers to faster platforms and unblocks deal sizes the commercial team could not otherwise close.
Built on AWS
The production environment runs on 13 first-party AWS services. Delivered under our AWS Migration and Modernization, DevOps, Data and Analytics competencies.
What's next
Expanding intelligent matching with generative AI for natural-language candidate search and recruiter workflow automation, and extending the analytics platform toward predictive demand forecasting and recruitment ROI modeling.