A US healthcare technology company needed 100% uptime during its most critical annual reporting season. They'd missed that mark four years running. I was brought in to stabilize operations and re-architect the platform before the next window opened.
Skills Applied
- Re-architected the monolithic application into three independent services, each with its own deployment lifecycle and failure boundary
- Introduced modern SPA-based deployments for a new React frontend, decoupling UI releases from backend changes
- Designed self-instantiating, on-demand development environments — including a Kubernetes-based local setup — so every engineer worked against a consistent stack
- Elevated automated test coverage from 20% to 80%, with tests running on every code push
- Automated SOC2 audit evidence gathering, replacing a manual collection process with continuous compliance tooling
- Restructured AWS environments for HIPAA alignment and trained the InfoSec team on controls and logging
- Recruited and built a DevOps team from scratch, embedding engineers directly into development squads
- Extended the DevOps operating model to Serverless and Data Engineering teams
Results
- 100% uptime during healthcare reporting season — after four consecutive years of failures
- 30% AWS spend reduction within 60 days of engagement
- SOC2 evidence collection: 2 weeks compressed to 2 hours
- Deployment time: 30 days reduced to 2 hours
- Test coverage: 20% to 80%, enforced on every push
- Processing time: 200% improvement, variance stabilized to +/- 10% from a prior 500%
If your platform can't survive its most important business window, that's not a technology problem — it's an operational one. I'd welcome a conversation about what predictable execution looks like for your environment.