LAMP Stack Developer

LAMP Stack Developer Location: Remote Duration: 09 Months Top Skills Required : Strong PHP testing experience (modern frameworks) Production level Python scripting Secure CI/CD pipelines Secrets & dependency management (enterprise grade) System scaling and architecture understanding Apache Solr hands on experience Job Description/ Responsibilities : Design, develop, enhance, and support LAMP stack applications (Linux, Apache, MySQL/MariaDB, PHP) with a focus on stability, security, and performance. Build and maintain automated testing for PHP applications (unit, integration, regression), ensuring high reliability and release confidence using modern PHP frameworks and testing practices. Develop and maintain production-level Python scripts for automation, operational tooling, data utilities, and platform reliability tasks. Implement, maintain, and optimize secure CI/CD pipelines, including approval gates, pipeline-as-code, and automation best practices Integrate security controls into delivery workflows (e.g., secure build practices, security scans, policy checks) to maintain compliance and reduce risk Own secrets management and related operational practices (secure storage, rotation, access controls, auditing) across environments; ensure "enterprise-grade" secret handling. Manage dependency and artifact hygiene (versioning, vulnerability scanning, license considerations, SBOM-aware practices where applicable) to maintain enterprise readiness. Implement and operate monitoring dashboards and alerting for application/platform health; partner with cross-functional teams to improve observability and reduce MTTR. Work on system scaling and architecture: performance tuning, horizontal/vertical scaling, caching strategies, HA/DR considerations, and capacity planning. Provide production support (triage, root cause analysis, incident response) and drive continuous improvements to stability and operational efficiency. Build and support Apache Solr implementations: indexing, schema/analysis configuration, query relevance, performance tuning, and operations (including clustered deployments where applicable).