Job Description

Responsibilities

• You'll play a key role in building highly performant, analytics-driven, and visualization-focused applications that empower decision-makers with actionable insights
• Design and develop scalable and high-performance applications using NodeJS for backend and Angular for front-end development
• Architect solutions with a focus on data analytics, visualizations, and real-time performance metrics that aid in crime prevention and resolution
• Collaborate with cross-functional teams to ensure seamless integration of frontend and backend services, ensuring a fluid user experience for public safety officials and community users
• Optimize applications for maximum speed, scalability, and security, ensuring compliance with best practices and regulatory standards
• Develop reusable components and libraries that can be leveraged across multiple applications
• Lead efforts in code reviews, testing, and continuous integration to ensure robust, reliable, and maintainable codebases

Requirements

• Notes: Expertise in NodeJS and Angular PHP Ideally
• We're seeking a Senior Full-Stack Engineer with deep expertise in NodeJS and Angular to drive the development of this cutting-edge product
• 5+ experience with NodeJS and Angular in building scalable and high-performance applications
• Solid understanding of modern front-end and back-end frameworks (Next.js, Express.js) and how they contribute to a seamless product experience
• Experience with data analytics, visualization frameworks, and tools that can process and display large sets of data in real-time (e.g., D3.js, Chart.js)
• Strong knowledge of performance optimization techniques for both client-side and server-side applications
• Experience building RESTful APIs and working with databases like MySQL, MongoDB, or similar
• Experience with building Docker images and Kubernetes deployments, services, ingress, config maps and secrets
• Proficiency in implementing secure and compliant coding practices, especially within public safety or sensitive data contexts
• Proven ability to work with agile methodologies
• Excellent communication and problem-solving skills, with a focus on user-centric solutions
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools like Docker or Kubernetes
• Familiarity with microservices architecture and best practices for building distributed systems
• Knowledge of AI or machine learning techniques that can assist with predictive policing or incident trend analysis
• Experience with ArcGIS ESRI maps and Geospatial mapping
• Previous experience in public safety, law enforcement, or related industries