Software Engineer, Beacon AI

• It requires proficiency and expertise in cloud architecture, managing cloud resources, automating workflows, and ensuring data security and compliance. Experience in working with IoT applications is a plus
• The ideal candidate will thrive in a dynamic environment 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
• 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 Cloud Infrastructure Engineer to lead our efforts in building and maintaining a robust cloud infrastructure
• This role focuses on designing, implementing, and optimizing AWS-based services to ensure they are scalable, reliable, and efficient
• You will be working closely with other engineers, and product management
• Cloud Infrastructure Setup and Maintenance: Design, set up, and maintain cloud infrastructure using Infrastructure as Code (IaC) tools like AWS CDK, ensuring robust CI/CD and testing components
• Data Pipeline Construction: Develop and maintain pipelines that efficiently ingest and process data into the cloud, ensuring data integrity and accessibility
• Bulk Data Management: Oversee bulk data ingestion processes into AWS services, ensuring efficiency and security in data handling
• IoT Deployment Management: Manage and improve our infrastructure to deploy to and communicate with our devices integrated into customer systems
• Analytics Experimentation and Development: Collaborate to build analytical tools that can provide actionable insights and enhance decision-making processes
• Collaboration and Support: Work closely with other engineers, QA, and product management to integrate our cloud analytics into broader tech infrastructure with our other systems
• Data Security and Compliance: Implement and enforce strict data security measures and adhere to industry standards and regulations to protect sensitive information
• Infrastructure Oversight: Plan and enhance the cloud infrastructure to support high-volume, mission-critical systems, ensuring robustness and scalability
• 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