Hi-tech

Hospitality Hiring Scales 10X with Cloud-native Architecture

Rebuilt legacy platform to accelerate hiring and support surging traffic

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10x

Increase in traffic handling capacity without service disruption.

600k

Daily visits supported through event-driven microservices.

0%

Downtime across critical hiring campaigns and surges.

Client Overview

A leading North American hospitality recruitment platform helps employers discover top talent through AI-driven assessments and candidate profiling.

As their user base rapidly expanded, they faced growing limitations in performance, scalability, and feature development due to an aging monolithic system.

Challenges

Legacy systems couldn’t support surging user traffic, fragmented data sources, and the need for fast, accurate hiring workflows.

Scalability risks with a tightly coupled monolith

Legacy architecture faltered under 10x traffic spikes and posed hurdles in isolating services for stable, fault-tolerant scaling.

Disconnected systems and high-risk data operations

Data across ATS, Salesforce, and legacy tools required complex migration and sync efforts, impacting continuity and performance.

Limited insights from unstructured resumes

Unstructured formats slowed parsing, making it hard to retrieve relevant profiles and shorten recruiter decision time.

Solution

We modernized the platform with scalable architecture, unified data workflows, and intelligent matching to streamline hiring at scale.

Modernized Platform Architecture

Redesigned the legacy system into modular services to improve scalability, performance, and development speed as user demand grew.

Elastic Infrastructure for Traffic Surges

Implemented a serverless foundation that automatically scales to support large spikes in platform usage without slowing down operations.

Unified Data for Real-Time Insights

Built centralized data workflows to connect scattered systems, streamline syncing, and deliver faster, analytics-ready information.

Smarter Resume Parsing and Search

Enabled structured extraction from unstructured resumes and added intelligent search to help recruiters find better matches, faster.

Business Impact

The transformed platform helped recruiters hire faster, handle peak loads, and compete more effectively in a high-turnover market.

Peak-Time Stability

Platform scaled seamlessly during peak traffic, maintaining stability and fast performance under heavy loads.

Faster Hiring Decisions

Improved resume parsing and intelligent search helped recruiters reduce time-to-hire and focus on high-fit candidates.

Quicker Role Fulfillment

Clients filled key hospitality positions faster, gaining an edge in a fast-moving, competitive hiring environment.

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