Senior PHP Laravel Developer
- Fusion IT
2 Days Ago
NA
C2C
Remote
8-12 Years
Required Skills: PHP Laravel, RESTful APIs, AWS, Azure, Google Cloud
Job Description
Title: Senior PHP Laravel Developer
Key Responsibilities
Backend API Development
Architect, build, and maintain RESTful APIs using PHP Laravel.
Develop microservices for scalable and modular backend solutions.
Optimize APIs for high traffic, low latency, and secure data delivery.
System Integrations
Integrate with third-party APIs, CRM systems, underwriting services, and claims platforms.
Implement payment gateway integrations for transactions and commission handling.
Build middleware for efficient data synchronization across systems.
Database Engineering
Design and optimize MSSQL databases for application and analytics use cases.
Implement caching strategies (Redis) and performance optimizations.
Ensure compliance with data privacy and consent management requirements.
Security & Access Control
Implement secure authentication using OAuth2, JWT, and API keys.
Develop and maintain role-based access control (RBAC).
Conduct security assessments and enforce encryption best practices.
DevOps & Performance
Utilize Docker and Kubernetes for containerized deployments and scaling.
Build CI/CD pipelines for automated testing, deployment, and monitoring.
Use observability tools (ELK Stack, Grafana, Prometheus) to monitor API health.
Required Qualifications
9+ years of backend development experience with PHP Laravel.
Strong expertise in RESTful APIs, API versioning, and microservices.
Experience with secure API design: OAuth2, JWT, RBAC.
Experience with third-party integrations (CRM, payment gateways, underwriting APIs).
Strong knowledge of MSSQL Server and Redis.
Experience with Docker, Kubernetes, and CI/CD workflows.
Familiarity with cloud platforms (AWS, Azure, Google Cloud).
Strong debugging, optimization, and problem-solving abilities.
Preferred Qualifications
Experience with C# / .NET for cross-system integration.
Experience with XBSL (a plus).
Knowledge of AI/ML implementations for predictive analytics.
Familiarity with Kafka or event-driven architecture.
Background in insurance or financial services backend systems.
