Software Engineer, Beacon AI

• The ideal candidate will thrive in a product-driven workplace and has a strong desire to build something from the ground up
• Deep Sense of Ownership: Demonstrates a profound commitment to end-to-end responsibility, from ideation through deployment and beyond, ensuring project success and user satisfaction
• Comfort with Ambiguity: Thrives in uncertain and evolving environments, making sound decisions and progressing effectively without having every detail mapped out. Has the ability to iterate quickly and incorporate user feedback to guide development
• Proven Experience with Cloud Technologies: Extensive knowledge of cloud services, especially AWS, for data storage, processing, and analytics
• Strong Background in Data Engineering: Demonstrated ability to build and manage data pipelines and construct analytical tools using programming languages such as Python or Node.js
• Expertise in Data Visualization: Skills in developing dashboards and widgets with tools like Tableau, Power BI, Amazon QuickSight, or custom solutions
• Analytical and Problem-Solving Abilities: Strong capability to analyze data trends and provide insights that can improve decision-making and operational processes. Exhibits initiative to identify blockers and generate solutions independently, ensuring continuous project momentum and team productivity
• Team Leadership and Communication: Ability to lead projects and communicate effectively with a multidisciplinary team to implement and refine data solutions

Desirable

• We are seeking a skilled Backend Developer to lead our efforts in building and maintaining our backend services
• This role focuses on designing, developing, and optimizing our serverless cloud systems, with a focus on reliability through testing and monitoring
• You will be working closely with other engineers, and product management
• Backend Development: Design, develop, and maintain backend services and systems, ensuring high performance and responsiveness to requests from front-end components
• API Development and Management: Design, implement, and maintain APIs for both internal and external data sources, ensuring they are secure, reliable, and scalable. This includes real-time data streaming from aircraft and support for web/iPad applications
• Database Management: Develop and maintain database schemas, queries, and stored procedures to support application functionality and data integrity
• Data Pipeline Construction: Develop and maintain pipelines that efficiently ingest and process data, ensuring data integrity and accessibility
• Analytics Experimentation and Development: Build sophisticated analytical tools that can provide actionable insights and enhance decision-making processes
• Advanced Troubleshooting: Provide expert-level troubleshooting and debugging for cloud applications, with a focus on uptime and reliability
• Performance Optimization: Analyze and optimize system performance, ensuring high reliability and responsiveness for applications interfacing with time series data and multimedia streams