Started with discovery, not headcount
Two senior engineers embedded alongside the client's technical leadership to map the full scope, agree a pragmatic strategy, and set a phased roadmap that wouldn't disrupt live operations.
Success story · Platform modernization
Healthcare modernization at scale
How a multi-state US healthcare provider replaced its legacy platform, built the data infrastructure to scale, and automated the admin work that was pulling clinical staff away from patient care — with a nearshore team at around 40% below the cost of a US-based one.
- HIPAA-trained
- 3 workstreams
- Team of 7
~40%
below cost of a US-based team
same compliance discipline
The summary
A multi-state US healthcare provider — running clinics and therapy services for children with autism — had outgrown its platform. The legacy system couldn't keep up with operations spread across several states, creating bottlenecks in scheduling, therapist time management and day-to-day workflows.
The cost landed where it hurt most: staff time that should have gone to patient care was going to administrative overhead instead. Fixing it meant more than a platform upgrade — a full modernization run across several fronts at once, by a team senior enough to make architecture calls where a mistake reaches patient care, and disciplined enough to work inside healthcare's compliance and security demands.
Multi-state UShealthcare provider
- Industry
- Healthcare · autism therapy
- Engagement model
- Staff augmentation
- Compliance
- HIPAA-trained, audit-ready
Tech stackFull-stack + AIWordPressPythonGCPGoogle & Twilio automation
ModelStaff augmentation
- below cost of an equivalent US-based team
- ~40%
- engineers across three parallel fronts
- 7
- workstreams running at once
- 3
- audit-ready — every engineer HIPAA-trained
- Day 1
The situation
A legacy platform that was costing patient care
Built years earlier, the legacy system couldn't keep up with operations spread across several states, creating bottlenecks in scheduling, therapist time management and day-to-day workflows. Staff time that should have gone to patient care was going to administrative overhead instead.
Fixing it needed a full modernization across several fronts at once — by a team senior enough to make architecture calls on a system where a mistake doesn't stay technical (it reaches patient care), and disciplined enough to work inside the compliance and security demands healthcare data carries.
What DevEngine did
Discovery first, then scale across three fronts
Scaled into three parallel workstreams
The work reached the data and infrastructure layers, not just the application. The team grew to seven across three fronts running at once — application, data & cloud, and automation.
Made compliance a condition of starting
Every engineer completed HIPAA training before touching the system, with access locked to company-managed laptops and controlled credentials — senior talent and a material cost saving, without giving up compliance rigor.
How the team was built
Seven engineers across three parallel workstreams
3
Application
- Full-stack engineer with AI skills
- Senior WordPress engineer — client interface & portals
- Python backend engineer
2
Data & cloud
- Data engineer — analytics foundation
- GCP DevOps engineer — infrastructure
2
Automation
- Google automation engineer
- Twilio automation engineer
On a system where a mistake reaches patient care, the engineers were senior enough to own the calls — and HIPAA-compliant before touching it.
The results
A modern platform, with time given back to care
Cloud-native
A modern platform
A cloud-native application running the provider's multi-state operations, with data pipelines and an analytics foundation underneath it.
Time back
Time back for care
Manual jobs that had been eating clinical and operations time — scheduling, therapist time-tracking, operational admin — were automated into workflows that run on their own.
~40%
Below the cost of a US-based team
Senior talent at the same compliance discipline, at roughly 40% under an equivalent US-based team — the saving came from where the talent sat, not from a lighter team.
Audit-ready
Compliant from day one
Every engineer HIPAA-trained, with secure access controls in place from the start — no compliance retrofit after the fact.
Why it worked
Sized to the real problem, not a guess
Discovery before scale
Starting with two embedded engineers meant the team sized and sequenced the work to the real problem — no disrupting live operations, no over-hiring against a guess.
Senior enough to own the calls
The engineers could weigh accumulated technical debt and make architecture decisions themselves — the judgment a healthcare system needs, where those calls carry through to patient care.
Nearshore, not offshore
A Latin America team on US hours ran a sensitive, multi-front modernization collaboratively, day to day — not across the handoff gap offshore delivery usually carries.
Scale Faster. Hire Smarter.
Build high-performing software and data teams with pre-vetted engineers, transparent pricing, and seamless onboarding — tailored to your business needs.
