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Driving Cost-Efficient and Secure Cloud Transformation in HR with Terraform and CloudWatch

Re-engineering AI-driven recruitment infrastructure with Infrastructure as Code and native AWS observability to ensure high security and operational transparency.

Client

A global leader in human resources services specializing in talent acquisition and business consulting.

Problem Statement

The client faced operational bottlenecks due to manual AWS console configurations and a lack of structured application observability and alerting.

Industry

Education & Professional Services

Solution

Modernization

Intelligent Enterprise

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Quick Summary

We automated the provisioning of an AI-driven recruitment platform using Terraform and Jenkins, cutting production setup time to just two weeks.

  • Developed a custom, native AWS observability framework using CloudWatch and Lambda to deliver real-time incident alerts directly into Google Chat.
  • Eliminated third-party licensing fees and security risks by enforcing role-based communication and VPC endpoints within an AWS-native ecosystem.

Client Profile

This global HR powerhouse connects talent with fitting roles across hundreds of industries. They focus on delivering high-speed hiring solutions through technology, managing a massive portfolio of candidates and business partners worldwide. 

Challenges: Security Constraints and Monitoring Gaps

The client’s transition to an AI-led platform was hindered by restrictive legacy processes.

  • Manual Bottlenecks: A limited-permission model required all infrastructure to be set up manually via the AWS console, making environment replication nearly impossible.
  • Observability Deficit: Minimal system monitoring existed, with no structured dashboards or alerting mechanisms to track application health.
  • Dependency Concerns: A strict requirement to use AWS-native solutions to avoid third-party tool sprawl and rising licensing costs.
  • Scripting Latency: The manual effort required for complex DevOps scripting slowed down the release cycle for new recruitment features.

QBurst Solution: Automated IaC and Native Observability

We introduced Terraform to transform the client’s infrastructure into a scalable, version-controlled environment. This was integrated with their Jenkins pipeline to allow controlled, automated deployments that adhered to strict IAM permissions. To address monitoring, we engineered a "fit-for-purpose" observability suite using only native AWS services.

Key Technical Implementations:

  • Infrastructure as Code (IaC): Defined all networking and compute resources through Terraform modules to eliminate configuration drift and manual errors.
  • Real-Time Alerting Pipeline: Configured CloudWatch alarms routed through SNS and Lambda to push critical notifications into Google Chat, ensuring immediate visibility into system health.
  • Security Hardening: Implemented well-defined security group rules and role-based access controls (RBAC) to replace the previously manual and insecure credentialing.
  • GenAI-Assisted DevOps: Leveraged tools like GitHub Copilot and Gemini to accelerate the creation of Terraform scripts and automation workflows.

Technical Highlights

  • Consistent Replication: Terraform modules enable the instant setup of identical staging and production environments.
  • Native AWS Approach: Zero reliance on external monitoring tools, reducing the client's annual licensing overhead.
  • Hardened Infrastructure: Secured communication via VPC endpoints and documented, reviewed security group rules.
  • Unified Dashboard: A custom CloudWatch interface providing a single pane of glass for performance metrics and incident tracking.

Impact

  • 75% Faster Provisioning: Reduced the timeline for production environment setup from several months to just two weeks.
  • Stronger Governance: Every infrastructure change is now trackable and aligned with the client’s global security policies.
  • Rapid Incident Response: Real-time Google Chat alerts have significantly lowered the Mean Time to Repair (MTTR) for critical application issues.
  • Cost Optimization: By using open-source Terraform and native AWS tools, the client avoided significant third-party software expenses.
  • Scalable Foundation: The reusable modules and monitoring templates now serve as the blueprint for all future HR-tech projects.

Client Profile

Challenges

QBurst Solution

Technical Highlights

Impact

Recognized for Growth. Trusted for Impact.

Deloitte Technology Fast 50 India, Winner 2024

Deloitte Fast 50 India, Winner 2024

IDC

Market Glance: Loyalty in Retail, 2Q26, DEOT 4Q25

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Major Contender, QE Specialist Services


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