Smart City Platform Engineer

Key Responsibilities

• Design, implement, and support Smart City platforms and integrated technology solutions.
• Perform system integration between various applications, IoT devices, and third-party systems.
• Manage periodic platform upgrades, patches, and maintenance activities while ensuring minimal downtime.
• Develop, maintain, and optimize SQL and NoSQL databases for performance and scalability.
• Build and maintain web-based dashboards and applications using HTML, CSS, and JavaScript.
• Monitor system health, troubleshoot technical issues, and provide timely resolutions.
• Ensure platform security by following networking and information security best practices.
• Support AI-enabled features, predictive analytics, and data-driven decision-making initiatives.
• Collaborate with software developers, infrastructure teams, and project stakeholders throughout the project lifecycle.
• Prepare technical documentation, system configurations, and operational procedures.
• Provide technical support and training to end users when required.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Software Engineering, Electronics, or a related field.
• Proven experience working on Smart City projects or similar integrated technology platforms.
• Practical experience with SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra).
• Strong proficiency in HTML, CSS, and JavaScript.
• Solid understanding of networking concepts, system administration, and information security principles.
• Experience supporting system integration, platform maintenance, and software updates.
• Knowledge of Artificial Intelligence (AI), Machine Learning concepts, and data analytics.
• Strong troubleshooting, analytical, and problem-solving skills.
• Excellent communication and teamwork abilities.

Preferred Skills

• Experience with IoT platforms and sensor integration.
• Familiarity with REST APIs and microservices architecture.
• Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud.
• Experience with GIS platforms and smart infrastructure solutions.
• Understanding of Docker, Kubernetes, or DevOps practices.
• Knowledge of Linux and Windows server administration. *