Client: A global digital services provider supporting a high-volume B2B platform initiative partnered with HNM Systems to accelerate development of its customer-facing applications while embedding secure development practices across a hybrid engineering model.
Industry: Digital Services & Enterprise Software
Services Provided: Artificial Intelligence Staffing, Front-End Engineering, QA Automation, DevSecOps, CI/CD Integration, Global Agile Delivery, Application Security Testing
Key Results at a Glance
- 30% faster release velocity through CI/CD optimization and automation
- Reduced critical vulnerability backlog to zero via embedded DevSecOps and secure code remediation
- Achieved 99% automated test coverage across priority user flows
- Enabled seamless 24/7 productivity through globally distributed engineering teams
Business Need
The client was scaling a high-volume B2B platform that required secure front-end modernization, improved testing throughput, and faster release delivery across a globally distributed agile environment.
Key priorities included:
- Modernizing front-end applications using Next.js and React
- Improving release speed and deployment consistency
- Expanding automated testing coverage
- Strengthening software supply chain security and secure coding practices
- Reducing vulnerability remediation timelines
- Standardizing CI/CD workflows across distributed teams
The client partnered with HNM Systems to deliver a globally integrated engineering and QA model supported by artificial intelligence staffing expertise and globally distributed technical delivery teams.
Our Approach
HNM Systems deployed a cross-functional team spanning the United States, Costa Rica, Mexico, and India.
Global Engineering & QA Delivery
Senior Software Engineers modernized customer-facing applications using React, Redux, Hooks, Next.js, and SCSS to improve responsiveness and maintainability.
Technical Leads partnered directly with client stakeholders to align sprint priorities, manage escalations, and support coordination across engineering, QA, and business teams.
QA Automation & DevSecOps
Senior QA Engineers and Automation Engineers implemented scalable testing frameworks supporting functional, regression, UAT, and API testing initiatives.
Automation and CI/CD workflows leveraged technologies including Selenium, Postman, GitHub Actions, Jenkins, SonarQube, and Veracode.
Security practices were integrated directly into development workflows through:
- Static and dynamic code scan remediation
- Authentication and session validation testing
- Input validation and API security testing
- Vulnerability remediation and escalation management
HNM engineers identified and resolved issues such as insecure deserialization and broken access control vulnerabilities before production release.
Results
- Increased release velocity by 30% through CI/CD automation and streamlined deployment workflows
- Eliminated critical vulnerability backlog via embedded DevSecOps and secure code remediation
- Achieved 99% automated test coverage across core application workflows
- Enabled continuous global delivery operations across four countries
- Reduced production defects and improved user experience through responsive front-end modernization
- Improved audit readiness through standardized security, testing, and reporting procedures
Business Impact: Why They Chose HNM Systems
The engagement improved the client’s delivery and security of customer-facing web applications across a distributed, agile environment.
By integrating engineering, QA automation, and DevSecOps into a unified delivery model, the organization improved scalability, reduced operational risk, and supported faster digital product delivery without sacrificing application quality or security.
HNM Systems’ artificial intelligence staffing model also provided the flexibility needed to support ongoing platform growth and evolving business requirements.
Ready to Accelerate Secure Application Delivery with Artificial Intelligence Staffing?
Explore how HNM Systems helps organizations scale secure software delivery through artificial intelligence staffing, global engineering teams, and embedded QA automation practices.
Download the full case study: Facilitated Global Web Application Delivery via Engineering and QA Best Practices
