Skip to main content
Case Study · Data Engineering Recruitment Technology

Virgil

10x scaling capacity with the platform now handling 600,000+ daily users at peak without performance degradation, removing the seasonal capacity. planning that used to consume engineering attention before every busy hospitality hiring window.

Multiple
SOWs
6 to 12 months
Engagement
5
Outcomes shipped

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 with the platform now handling 600,000+ daily users at peak…
60%
faster search query response through Amazon OpenSearch and ElastiCache
45%
reduction in data indexing time through optimized pipelines and parallel…
80%
reduction in manual recruiter tasks through automated resume parsing…

10x scaling capacity with the platform now handling 600,000+ daily users at peak without performance degradation, removing the seasonal capacity planning that used to consume engineering attention before every busy hospitality hiring window.

60% faster search query response through Amazon OpenSearch and ElastiCache so candidates and recruiters get results in sub-second time across millions of records and the platform feels as responsive as the consumer apps users compare it to.

45% reduction in data indexing time through optimized pipelines and parallel processing so new jobs and updated candidate profiles surface in search results faster and the freshness gap that used to lose candidates to faster competitors is closed.

80% reduction in manual recruiter tasks through automated resume parsing, intelligent matching, asynchronous bulk posting, and ATS-integrated workflows so recruiters work on shortlisted candidates instead of inbox triage and the platform delivers more value per hour of recruiter time.

Bulk job posting that completes in minutes. rather than hours for multi-property operators, removing the workflow friction that used to push enterprise customers to faster platforms and unblocking the deal sizes the commercial team could 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.

Amazon EC2AWS LambdaAmazon ECS and FargateAmazon RDSAmazon ECRAmazon SQSAmazon OpenSearch ServiceAmazon ElastiCacheAmazon S3AWS GlueAmazon AthenaAmazon CloudWatch with Container Insights and Logs InsightsAWS CloudTrail
AWS Premier Tier PartnerMigration & Modernization ServicesDevOps Consulting CompetencyData & Analytics Consulting CompetencyAWS Lambda DeliveryAmazon RDS DeliveryAWS Glue DeliveryAmazon OpenSearch Service Delivery
Validated by AWS

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.

Want similar outcomes for your platform?

Talk to us about an engagement shaped around the same constraints Virgil brought to the table. Most start with an AWS-funded discovery and a conversation with an engineer, not a sales exec.