Senior full-stack engineer building and maintaining FeeNavigator, an automated merchant statement analysis and proposal platform using PHP/Laravel and Vue. Requires 5+ years experience, strong PHP and MySQL skills, and the ability to work autonomously in a large codebase.
115k – 130k
Remote5+ YOEFullstack Engineering
About the role
Responsibilities
Design, build, and enhance features within FeeNavigator using PHP/Laravel and Vue
Develop efficient database queries and optimize MySQL performance
Own quality end-to-end through developer-led testing (unit, integration, and end-to-end tests)
Refactor complex areas and decompose high-complexity components into maintainable code
Document critical business logic, application workflows, and key architectural decisions
Collaborate with Product Managers to refine requirements and contribute to technical solution design
Participate in code reviews to maintain high engineering standards
Work with SRE to ensure software is observable, resilient, secure, and production-ready
Diagnose and resolve incidents, defects, and performance bottlenecks
Contribute to continuous improvement of development processes, tooling, and engineering practices
Requirements
Bachelor’s degree in Computer Science or equivalent experience
5+ years of experience developing complex applications
Fluency in PHP and modern development practices
Strong understanding of object-oriented programming and design patterns
Experience with relational databases such as MySQL (schema design, query optimization)
Experience with modern frontend development (JavaScript/TypeScript, Vue, npm, basic CSS/SCSS)
Comfort working in large, established codebases
Familiarity with secure coding principles
Experience with Git and CI/CD workflows
Experience contributing across the full SDLC
Effective use of AI-assisted development tools
Ability to work both independently and collaboratively
Nice-to-Haves
Strong experience with Laravel or similar modern PHP frameworks
Experience with the Vue ecosystem (Quasar, Pinia, Vite)
Experience with containerization technologies (Docker)
Experience with caching technologies (Redis, Memcached)
Experience with AWS services (ECS, ECR, S3, SQS)
Experience working with logging & monitoring systems (e.g., Sentry, New Relic)
Understanding of cloud-native or SaaS architectures
Exposure to Python and ML-adjacent services (Flask, Pandas, scikit-learn)
Experience integrating AI capabilities into applications
Track record of raising engineering standards on a team
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