Software Engineer (Fullstack)

Customer Integration Development:

• Develop robust API connections between McEasy's platform and client systems.
• Create custom modules and features that address specific customer workflows.
• Implement data transformation processes to ensure compatibility between systems.
• Design and build custom dashboards and reporting based on customer needs.

Technical Implementation

• Write clean, efficient, and well-documented code in our technology stack (Go, Python, JavaScript/TypeScript, PHP, VueJS, NuxtJs).
• Develop both frontend components (responsive UIs, data visualization) and backend services (API, GraphQL, Webhook, Websocket, XML).
• Implement comprehensive testing strategies including unit, integration, and end-to-end tests.
• Troubleshoot and debug integration issues across the full stack.
• Participate in code reviews to maintain high code quality standards.

Cross-Team Collaboration

• Work closely with Customer Project Manager (CPM) to translate customer needs into technical requirements.
• Collaborate with core SaaS teams to ensure integrations align with product roadmap.
• Partner with QA teams to establish comprehensive testing protocols for custom implementations.
• Coordinate with DevOps to streamline deployment of customer-specific solutions.
• Participate in sprint planning, demonstrations, and retrospectives.

• 2+ years of experience in software development.
• Strong proficiency in at least two of our core technologies: Go, Python, JavaScript/TypeScript, PHP, VueJS, NuxtJS.
• Experience with RESTful API design, development, and consumption.
• Working knowledge of SQL databases (PostgreSQL, SQLite), In-Memory Database (Redis) and Message Broker (RabbitMQ / Kafka).
• Familiarity with containerization technologies (Docker, Kubernetes) is a plus.
• Strong problem-solving skills and ability to troubleshoot complex integration issues.
• Excellent communication skills with ability to translate technical concepts to non-technical stakeholders.
• Experience with telematics systems, IoT platforms, or logistics software is a plus.
• Knowledge of GPS tracking technologies and fleet management systems is a plus.
• Familiarity with cloud deployment environments (AWS, GCP, Azure) is a plus.