Cloud Infrastructure - Software Engineer (Multiple Seniority Levels)
SAN CARLOS, CA (HYBRID) | ENGINEERING – CLOUD / INFRASTRUCTURE /FULL TIME
About Beacon AI
Beacon AI is developing AI pilot assistant technology to transform aviation, flight safety, operational efficiency, and pilot capabilities. We are on a mission to leverage the power of artificial intelligence and advanced data analytics to revolutionize the aviation industry. Join us to be at the cutting edge of technological innovation for the second century of aviation.
Role Overview
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. 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. You will be working closely with other engineers, and product management.
The ideal candidate will thrive in a dynamic environment and has a strong desire to build something from the ground up.
Key Responsibilities
- 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.
What Will Make You Successful
- 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.
Bonus Points
- Experience: 4+ years of experience in working with serverless technologies in AWS or another cloud provider.
- Experience with Big Data Technologies: Familiarity with technologies for processing and analyzing large datasets.
- Machine Learning Frameworks: Experience using ML-approaches to extract insights from live/historical data.
- Aviation Experience: Understanding the specific data needs and challenges in aviation or related fields.
- DevOps/DevSecOps: Background in automating and optimizing data workflows.
Benefits
- Comprehensive Healthcare Coverage: Enjoy peace of mind with our generous health, vision, and dental benefits, with 75% of costs covered by the company for the employee.
- Paid Time Off: Recharge and relax with 3 weeks of paid vacation, in addition to 14 company-paid holidays each year.
- Connectivity Stipend: Stay connected with our cell phone benefit, ensuring you have the tools you need to excel in your role.
- Health and Wellness Allowance: Use this towards a gym membership or subscription to a meditation app, empowering you to prioritize self-care and maintain a healthy lifestyle.
- Financial Planning: Prepare for the future with our 401(k) program. While we currently do not offer matching, we are committed to enhancing this benefit in the future.
