The challenge
A North American enterprise technology firm was mid-way through a multi-year modernisation programme, migrating a legacy .NET Framework monolith to a microservice architecture on Azure. Their internal team had the architecture expertise but was under-resourced for the volume of development work required to hit delivery milestones.
They needed senior engineers who could join actively running sprints without a learning curve, understand enterprise-grade codebases, and operate within existing Azure DevOps workflows and code review standards.
How we staffed it
KometCode placed three engineers into the client’s existing team structure:
- Senior Full-Stack Developer (.NET Core / Angular): feature delivery across the API layer and Angular front-end
- Backend Engineer (Microservices / PostgreSQL): service decomposition, API gateway integration, and database migration from SQL Server to PostgreSQL
- QA Engineer (Automation): Playwright-based end-to-end test suite, integrated into Azure DevOps CI/CD pipeline
All three engineers worked within the client’s tools (Azure DevOps, Teams, GitHub Enterprise) and time zone overlap (4-hour daily overlap with North American EST). No process changes were required on the client side.
The engagement structure
The engagement ran for 14 months across three phases:
Months 1–4: Initial sprint integration Engineers joined existing scrum teams. The first sprint delivery was on day 10, well within the client’s 2-week target for new team members. Code review standards, branching conventions, and deployment procedures were matched from the first week.
Months 5–10: Accelerated delivery The team took on increased ownership of two microservices, the Order Management and Notification services, from design through to production deployment. This freed the client’s senior architects to focus on cross-service concerns.
Months 11–14: Knowledge transfer and scale-down As internal hiring caught up, the KometCode team progressively handed back ownership, documenting service architecture and running pair-programming sessions with incoming internal developers.
Technical highlights
- Decomposed 3 legacy modules from the .NET Framework monolith into independently deployable microservices
- Migrated 12 million records from SQL Server to PostgreSQL with zero data loss and a 2-hour downtime window
- Built Playwright test suite covering 340+ end-to-end scenarios, reducing regression test time from 6 hours (manual) to 22 minutes (automated)
- Reduced Azure infrastructure cost by 18% through right-sizing and autoscaling configuration
Results
- All delivery milestones met across the 14-month engagement; no slippage attributable to the augmented team
- Zero ramp-up cost: first sprint delivery within 10 days of onboarding
- Smooth scale-down: structured knowledge transfer meant no institutional knowledge was lost when the engagement concluded
- Client extended the original 6-month scope to 14 months based on delivery quality