Transforming a Mortgage Technology Platform with a High-Performance Engineering Team

Client Overview

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Our client is a premier subsidiary of a

$14 billion

national title insurance leader, providing enterprise-grade digital lending and servicing platforms to the U.S. financial services sector.

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Operating in a highly regulated industry, the organization embarked on a major technology modernization initiative to upgrade its legacy systems into a scalable, secure, cloud-native architecture.

The transformation included:

• Migrating legacy applications to cloud infrastructure

• Modernizing DevOps and CI/CD pipelines

• QA Automation.

• Ai First Approach.

To execute this vision, the company needed to rapidly hire a high-performing engineering team across multiple disciplines.

The Challenge

Despite working with multiple staffing vendors, the client faced serious obstacles:

• Resumes filled with the right keywords — but lacking real-world competency

• Inconsistent technical screening processes

• Limited transparency into candidate evaluation

• Hiring managers spending hours interviewing underqualified candidates

• Urgent hiring timelines tied to transformation milestones

The roles included:

• Cloud Engineers

• Scrum Managers.

• Ai Engineers

• QA Automation Analysts

The client needed quality, speed, and accountability — not just resume volume.

Our Approach

1. Competency-First Screening Model

Instead of relying solely on keyword matching, we implemented a competency-driven evaluation process:

• Each candidate was screened by a domain-expert technical interviewer

• Structured scenario-based questions aligned to real project challenges

• Evaluation focused on architecture thinking, scalability, compliance awareness, and cross-team collaboration

• Video-recorded interviews provided transparency and replay value for hiring managers

This eliminated guesswork and reduced unnecessary interview cycles.

2. Precision Talent Mapping

We aligned hiring to the client’s modernization roadmap:

• Cloud engineers with .net Core and Azure experience

• Architects experienced in regulated financial systems

• QA professionals with automation and security testing capabilities

• Scrum Master and Product owners with Ai experience and with Agile transformation in mortgage or banking environments

Each submission was tied directly to a defined project milestone.

3. Speed Without Compromising Quality

We delivered:

• Pre-screened, expert-evaluated candidates

• Reduced time-to-interview

• Higher first-round interview success rate

• Faster offer-to-join cycle

Hiring managers were able to focus only on high-probability candidates.

The Results

Successfully built a cross-functional engineering team
Improved interview-to-offer ratio
Reduced hiring cycle time
Accelerated cloud and ops transformation roadmap
Restored hiring manager confidence in the vendor ecosystem

The client was able to stay on track with its goals — without compromising quality or compliance standards.

Key Takeaways

In regulated industries like mortgage technology:

• Keyword matching is not competency validation

• Transparency in screening builds trust

• Speed matters — but precision matters more

• Domain expertise reduces hiring risk

By combining structured technical screening, domain-aligned evaluation, and accountable submissions, we helped the client assemble a high-performance team capable of executing a complex digital transformation initiative.