From localhost to live — no drama.
Nine years owning backend systems end-to-end. Re-architected live SaaS platforms in 15-day sprints. Built CI/CD pipelines for 50-person dev teams. The kind of engineer who's seen prod blow up — and built the systems that mean it doesn't happen again.
Nine years of precision engineering. Systems built to outlast the teams that commission them.
From RESTful API design and database schema to Docker containers, CI/CD pipelines, and server clustering — nine years of owning the full backend delivery cycle, not just writing services and handing them off.
Limited capacity. Senior contract and staff aug only.
CQRS with MediatR, Clean/Onion Architecture, N-Layer, Repository Pattern — and knowing when a well-structured monolith beats a premature microservices decomposition. Patterns chosen for the constraint, not the CV.
Custom CI/CD pipelines, Docker containerisation, Kubernetes orchestration, and server cluster management — the deployment side gets the same engineering rigour as the code itself.
Across SaaS, FinTech, and Enterprise — nine years of systems that still run.
Deep dive into the existing stack. Strict architectural boundaries, failure points, and constraint maps defined — before a single line of code is written.
Data flow, cloud resource dependencies, and security protocols mapped in full. Architecture is agreed and signed off before implementation begins.
Test-driven sprints. Direct repository access. Full codebase transparency. No black boxes, no surprises, no scope creep.
Post-launch telemetry monitoring. Load testing and horizontal scaling validated under real production stress — not synthetic benchmarks.
A Field Management SaaS was collecting real customer feedback daily — which meant daily new requirements hitting a codebase that couldn't handle them. Merge conflicts were constant. Deployments were scary. Team morale was breaking down. Features were piling up with no clean way to isolate changes.
Full re-architecture from scratch while the platform stayed live. Moved to strict Clean Architecture to isolate business logic. Implemented CQRS with separate read/write paths so reporting never slowed down data entry. Introduced Unit of Work and Repository patterns. Split into multiple databases where service boundaries demanded it. Pushed CI/CD pipelines to make branching and deployment predictable.
A dev team of 40–50 engineers across multiple projects was still deploying via FTP and manual file transfers. Managing separate Staging, QA, and Client Demo environments was a full-time job. One wrong upload could overwrite another developer's work. The process wasn't scaling.
A centralised GitLab pipeline built from scratch — connected to custom Linux servers configured specifically for automated deployments. Runners set up to handle concurrent projects without bottlenecks. Distinct Staging, QA, Demo, and Live environments for every project. Automated database migrations and application configuration on every push. Network and security handled end-to-end.
Start with a 30-minute technical call. No pitch, no deck — just a conversation about your stack and what needs to get done. Response within 24 hours.