OVERVIEW

Client Goals

Bridge Critical Skill Gaps

Fill expertise gaps in Java, React, Node.js, Python, and cloud-native development across multiple product squads.

Accelerate Product Launch

Scale engineering capacity without long-term headcount increases or permanent hiring commitments.

Reduce Hiring Time

Cut onboarding time from 45+ days to under 2 weeks while maintaining talent quality and technical standards.

Ensure Scalability

Adjust team size based on sprint demands and project phases with flexible month-to-month contracts.

Maintain Code Quality

Uphold PCI-DSS compliance standards and engineering best practices without compromising delivery velocity.

Reduce Burnout Risk

Relieve existing 20-person team working 60+ hour weeks by distributing workload across augmented engineers.

Technology Alignment

BACKEND ENGINEERING

Java (Spring Boot), Python (Django/FastAPI), Node.js

FRONTEND DEVELOPMENT

React.js, Next.js, TypeScript, Redux

CLOUD & DEVOPS

AWS (ECS, Lambda, RDS), Terraform, Docker, Kubernetes

DATA TECHNOLOGIES

Apache Kafka, Spark, PostgreSQL, Redis

QUALITY ASSURANCE

Selenium, Cypress, JMeter, Postman

CI/CD PIPELINE

GitHub Actions, Jenkins, SonarQube, Artifactory

CHALLENGE

Slow Hiring Delaying a Critical Product Launch

Recruitment Bottleneck

Internal recruitment averaged 45 days per engineer — far too slow for a 30-day launch window requiring 45 hires.

Team Burnout

High attrition risk within the existing 20-person team working 60+ hour weeks with increasing burnout.

Cloud-Native Skill Gaps

Critical gaps in cloud-native architecture and Kafka event streaming that no internal candidates could fill.

Rising Production Incidents

Pressure to ship fast was increasing production incidents — 3x more hotfixes in the quarter before engagement.

SOLUTION

Strategic Approach

PRE-VETTED TALENT POOL

Sourced from Expedite’s bench of 5,000+ engineers with live coding assessments and system design interviews.

SPRINT-READY ONBOARDING

Custom onboarding playbooks with codebase walkthroughs and pair programming sessions with client tech leads.

DEDICATED POD MODEL

Cross-functional pods (backend + frontend + QA) aligned to product squads for accountability and velocity.

CONTINUOUS QUALITY GATES

Mandatory code reviews, 80%+ automated test coverage, and weekly quality dashboards.

PERFORMANCE MONITORING

Weekly velocity reports, individual contribution metrics, and quarterly talent reviews.

FLEXIBLE SCALING

Month-to-month contracts with 2-week ramp-down notice, scaling from 45 to 25 engineers post-launch.

CONCLUSION

Results Achieved

40+ Engineers Placed

Deployed across 6 product squads within 30 days — all sprint-ready by end of Week 1.

60% Faster Hiring

Average time-to-fill reduced from 45 days to 18 days with pre-vetted talent pipeline.

$1.2M Cost Savings

Annual recruitment and onboarding costs reduced compared to traditional hiring channels.

On-Time Product Launch

Zero critical defects at launch, processing 50K+ transactions on Day 1.

97% Code Quality

Code-review pass rate maintained, with production incidents reduced by 40% quarter-over-quarter.

Long-Term Partnership

92% of augmented engineers continuing past the initial engagement as embedded team members.