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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.

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

Join Beacon AI as a Senior Software Engineer, Backend, in sunny San Carlos, and be part of an exciting journey to transform the aviation industry with cutting-edge AI technology! As a key player in our team, you'll be at the forefront of developing AI pilot assistant technology that enhances flight safety and operational efficiency. You'll have the opportunity to design, build, and maintain our backend services, ensuring high performance and seamless interactions between our backend and front-end components. In this fast-paced environment, you will take on responsibilities such as crafting resilient APIs, managing databases, and creating robust data pipelines. As you work closely with both engineering teams and product management, your expertise in cloud technologies, particularly AWS, will shine as you dive into advanced troubleshooting and system performance optimization. We're looking for a passionate individual who thrives in a product-driven atmosphere and is eager to contribute to innovative solutions from the ground up. At Beacon AI, you can expect not only a challenging role but also a supportive work culture that values your input and creativity. Plus, with our array of perks—including comprehensive healthcare coverage, generous vacation time, and wellness benefits—your well-being is prioritized as we build the future of aviation together! So, if you're ready to take on the challenge and make a significant impact in the aviation sector, come and take the next step in your career with us at Beacon AI.

Frequently Asked Questions (FAQs) for Senior Software Engineer, Backend Role at Beacon AI
What qualifications do I need to apply for the Senior Software Engineer, Backend position at Beacon AI?

To apply for the Senior Software Engineer, Backend position at Beacon AI, candidates should have a strong background in cloud technologies, particularly AWS, along with at least 4 years of experience in serverless systems or microservice architecture. Proficiency in data engineering using languages like Python or Node.js and experience with data visualization tools are also important. Ideal candidates will demonstrate ownership, analytical skills, and the ability to thrive in evolving environments.

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

The key responsibilities of the Senior Software Engineer, Backend at Beacon AI include designing and maintaining backend services, developing APIs for data sources, managing databases, and constructing data pipelines. Additionally, you'll work on performance optimization and advanced troubleshooting for our cloud applications, ensuring that our AI technologies operate smoothly and efficiently.

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Is there remote work flexibility for the Senior Software Engineer, Backend role at Beacon AI?

Yes, the Senior Software Engineer, Backend role at Beacon AI is a hybrid position. Employees are expected to work from the San Carlos, CA office at least three days a week, with the option to work remotely the remaining days, providing a good balance between collaboration and flexibility.

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What programming languages should I know for the Senior Software Engineer, Backend position at Beacon AI?

As a Senior Software Engineer, Backend at Beacon AI, knowledge of programming languages such as Python or Node.js is crucial, especially for developing data pipelines and analytical tools. Experience with cloud technologies and serverless systems will significantly benefit your application.

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

At Beacon AI, professional growth opportunities abound for the Senior Software Engineer, Backend role. You'll be part of pioneering developments in AI for aviation, collaborating with multidisciplinary teams. The company fosters innovation and encourages you to take ownership of projects, making it an ideal place for skill enhancement and career advancement.

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What benefits does Beacon AI offer to its Senior Software Engineer, Backend employees?

Beacon AI offers a competitive benefits package for its Senior Software Engineer, Backend employees, including comprehensive healthcare coverage with a generous portion covered by the company, paid time off of 3 weeks plus 14 holidays, connectivity stipends, and wellness allowances to support a balanced lifestyle.

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What kind of projects will I be working on as a Senior Software Engineer, Backend at Beacon AI?

As a Senior Software Engineer, Backend at Beacon AI, you'll work on exciting projects that involve developing AI pilot assistant technology. This includes building and managing backend services for real-time data streaming from aircraft, enhancing flight safety and operational efficiency in the aviation industry.

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Common Interview Questions for Senior Software Engineer, Backend
Can you describe your experience with cloud technologies relevant to the Senior Software Engineer, Backend role?

In interviews, highlight specific projects where you've utilized cloud technologies, particularly AWS. Discuss how you set up services such as data storage and processing, and mention any challenges faced and how you overcame them. This shows your hands-on experience and problem-solving skills.

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What strategies do you employ for API development and management?

When answering this question, discuss your approach to designing secure and scalable APIs. Mention methodologies like RESTful services, versioning, and best practices for documentation and testing. Providing examples of successful API projects can enhance your response.

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How do you approach performance optimization in backend systems?

Explain your process for identifying performance bottlenecks, such as using monitoring tools and analyzing logs. Discuss techniques you've implemented to enhance system responsiveness, like code optimization, caching strategies, or database indexing, emphasizing measurable outcomes.

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Can you share an experience where you had to troubleshoot a complex cloud application issue?

Provide a detailed account of the issue, the steps taken to diagnose it, and the resolution. Emphasize your analytical skills, collaboration with team members, and how you ensured minimal downtime. This illustrates your troubleshooting capabilities effectively.

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How do you ensure data integrity when developing data pipelines?

Highlight approaches to maintaining data integrity such as implementing validation checks, using transactions, and monitoring data movements. Discuss any tools or frameworks you’ve employed for data ingestion and processing, showcasing your data engineering skills.

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Describe a time when feedback significantly changed your development approach.

Choose an example where user feedback led to a pivotal change in your project. Discuss how you gathered the feedback, what changes were made, and the positive impact it had on the end product. This shows your adaptability and focus on user-centered development.

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What experience do you have with big data technologies?

Share any direct experience with technologies like Hadoop or Spark. You can also discuss projects where you handled large datasets, your role in data processing, and any insights drawn from big data analytics that influenced business decisions.

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How do you prioritize tasks in a fast-paced working environment?

Explain your prioritization strategies, such as using Agile methodologies, creating task hierarchies, or employing tools like JIRA. Emphasize how you communicate with your team to align on priorities, ensuring smooth project flow.

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Can you detail your experience with data visualization tools?

Discuss specific tools you've used, such as Tableau or Power BI, providing examples of dashboards or widgets you've created. Explain how these visualizations informed decision-making, highlighting your analytical skills and attention to detail.

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What motivates you to work in backend development?

Share your passion for backend development by discussing what excites you about building scalable and efficient systems. You might also include a story or project that illustrates this passion, connecting it back to the mission of Beacon AI.

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DATE POSTED
November 27, 2024

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