Senior Backend Engineer
Hands-on development for
PHP, AI, and SQL systems.
I design, extend, and stabilize demanding backend systems: Symfony applications, data-intensive SQL architectures, automation, and AI integration – reliable, traceable, and production-ready.
- 25+ years of experience in PHP, SQL, Linux, and backend architectures.
- Symfony 5/6/7, APIs, worker architectures, clean data models.
- Suitable for development and integration projects starting at 3 months.
Profile summary
- Role
- Senior Backend Engineer
- Focus
- PHP, Symfony, SQL, AI/OpenAI, DevOps
- Engagement
- Remote or on-site, project-based
- Project types
- Enterprise backends, SaaS, legacy modernization
Focus on implementation, stability, and clean code. No management role, no meeting overhead.
I support companies in projects where backend systems need to be extended, stabilized, or modernized. The focus is on Symfony applications, relational databases, and the integration of modern AI-driven processes into existing systems.
Typical tasks include extending existing platforms, performance optimization, technical consolidation, automation of recurring workflows, and the production-grade use of AI features. I work hands-on, with documentation and clear technical decisions.
EU-compliant infrastructure instead of technical dependencies
Many backend systems have grown organically and are tightly coupled to individual platforms, APIs, or infrastructure components. This complicates compliance, increases operational risk, and reduces long-term maintainability.
- Analysis of existing software and infrastructure dependencies.
- Migration towards EU-compliant, auditable backend and operating models.
- Step-by-step migration without interrupting running systems.
- Traceable documentation for operations, audits, and further development.
Selected focus areas
Backend
Symfony & APIs
Development and extension of Symfony backends, REST APIs, asynchronous processes, and robust data models.
AI integration
Automated workflows
Integration of OpenAI APIs, document workflows, analysis pipelines, and controlled cost models.
Operations
DevOps & stability
Linux servers, Docker setups, CI/CD pipelines, reproducible deployments, and clean logging.