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Senior Software Engineer, Backend

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 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. The ideal candidate will thrive in a product-driven workplace and has a strong desire to build something from the ground up.

Key Responsibilities

  • 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.

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.

  • 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.

Bonus Points

  • Experience: 4+ years of experience in serverless systems and/or microservice architecture.

  • Experience with Big Data Technologies: Familiarity with Hadoop, Spark.

  • 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.

This is a hybrid role and requires working from our San Carlos, CA office at least three days a week, with the option to work remotely the remaining days.

Perks & Benefits for Full-Time Employees:

  • 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. Note: Starting January 1, 2025 our coverage is increasing. Beacon AI will cover 80% of healthcare coverage costs for the employee and 25% for their dependents.

  • 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.

Average salary estimate

$135000 / YEARLY (est.)
min
max
$120000K
$150000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Senior Software Engineer, Backend , Beacon AI

Join Beacon AI as a Senior Software Engineer, Backend and be a part of an incredible journey to transform the aviation industry using cutting-edge artificial intelligence and advanced data analytics. Based in San Carlos, you'll dive deep into backend development, focusing on building and maintaining backend services that ensure optimal performance and reliability. This isn't just a technical role; it’s about leading the charge in designing robust serverless cloud systems. You'll collaborate with fellow engineers and product managers to create seamless APIs and manage databases, all while ensuring high data integrity and efficiency. Your expertise in data pipeline construction and analytical tools will shine as you create actionable insights, fueling operational excellence. At Beacon AI, we deeply value ownership, innovation, and teamwork. If you thrive in an evolving environment and enjoy the challenge of building something incredible from scratch, this position is a perfect fit for you. We are looking for someone with a strong background in cloud technologies, especially AWS, and proficiency in programming languages like Python or Node.js. Also, experience with data visualization tools is a plus to help us present data in impactful ways. Come and be at the forefront of technological innovation with us – your contributions at Beacon AI will not just shape our products, but could change the future of aviation safety and efficiency altogether!

Frequently Asked Questions (FAQs) for Senior Software Engineer, Backend Role at Beacon AI
What does a Senior Software Engineer, Backend do at Beacon AI?

As a Senior Software Engineer, Backend at Beacon AI, you'll be responsible for designing, developing, and maintaining backend services that support our AI pilot assistant technology. Your role involves ensuring high performance and reliability of serverless cloud systems, collaborating closely with multidisciplinary teams, and developing secure and scalable APIs and data pipelines.

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What skills are needed for a Senior Software Engineer, Backend position at Beacon AI?

To excel as a Senior Software Engineer, Backend at Beacon AI, you should possess extensive knowledge of cloud technologies such as AWS, skills in programming languages like Python or Node.js, and a strong background in data engineering. Experience in data visualization tools and analytical thinking will also set you apart.

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What is the work environment like for a Senior Software Engineer, Backend at Beacon AI?

The work environment for a Senior Software Engineer, Backend at Beacon AI is dynamic and collaborative. It encourages innovation, especially as the role involves building systems from the ground up. This hybrid position combines working at our San Carlos office with the flexibility to work remotely a few days a week.

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What are the key responsibilities of a Senior Software Engineer, Backend at Beacon AI?

Key responsibilities of a Senior Software Engineer, Backend at Beacon AI include backend development, API management, database maintenance, and data pipeline construction. You will also be tasked with troubleshooting cloud applications and optimizing system performance to enhance overall reliability.

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How does Beacon AI support the professional growth of Senior Software Engineers?

At Beacon AI, we value our engineers’ growth by providing opportunities for continuous learning, collaboration with talented professionals, and involvement in groundbreaking projects that push technological boundaries. Plus, our culture encourages feedback and innovation.

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What can I expect in terms of benefits as a Senior Software Engineer, Backend at Beacon AI?

Working as a Senior Software Engineer, Backend at Beacon AI comes with a robust benefits package, including comprehensive healthcare coverage, paid time off, a connectivity stipend, wellness allowances, and a 401(k) plan to help you plan for your future.

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Is prior aviation experience necessary for the Senior Software Engineer, Backend role at Beacon AI?

While prior aviation experience is not a strict requirement for the Senior Software Engineer, Backend role at Beacon AI, familiarity with the data needs and challenges in aviation can be beneficial. A passion for working in an innovative tech-driven environment is key.

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Common Interview Questions for Senior Software Engineer, Backend
Can you describe your experience with cloud technologies such as AWS?

When answering this question, provide specific examples of projects where you utilized AWS cloud services, focusing on how you managed data storage, processing, and analytics to support backend systems effectively.

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How do you approach API development, and what are some best practices you follow?

Discuss your API development process, emphasizing the importance of security, reliability, and scalability. Mention best practices such as thorough documentation, version control, and regular testing.

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What strategies do you use for performance optimization in backend systems?

Highlight specific techniques such as profiling, load testing, and identifying bottlenecks. Mention the tools you use for monitoring application performance and how you iterate on systems to ensure responsiveness.

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How have you handled data pipeline construction in your previous roles?

Share your experience in designing and implementing data pipelines, including technologies you have used. Discuss the importance of data integrity and how you ensure seamless data flow from source to destination.

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What analytical tools have you developed or used, and how did they impact decision-making?

Provide examples of analytical tools you've developed, explaining the insights they generated and how these influenced project outcomes. Highlight your experience with visualization tools like Tableau or Power BI in making data comprehensible.

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Can you give an example of a challenging technical problem you encountered and how you solved it?

Choose a specific problem related to backend technology or data management. Discuss how you approached diagnosing the issue, the steps taken to resolve it, and the impact of your solution on the project.

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How do you prioritize tasks when working on multiple projects?

Emphasize your organizational skills and technique for prioritizing effectively, such as using project management tools or methodologies like Agile or Scrum. Discuss how you communicate with your team during this process.

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What role does teamwork play in your engineering process?

Discuss the importance of collaboration, sharing knowledge, and open communication with your team members to achieve shared goals and solve complex problems together in an engineering project.

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Describe your experience with troubleshooting and debugging cloud applications.

Provide a detailed account of your experience with troubleshooting strategies and tools used in cloud environments. Explain your systematic approach to identifying issues and ensuring application uptime and performance.

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How do you stay updated with the latest technologies and trends in backend development?

Share your approaches to continuous learning, such as attending webinars, completing online courses, participating in tech communities, or following relevant blogs and publications to remain at the forefront of backend development.

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Full-time, hybrid
DATE POSTED
November 26, 2024

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