Senior Backend Developer

As a Senior Backend Developer at Aryng, your main responsibilities include building and optimizing APIs for AI/ML-powered applications, designing scalable architectures for handling large-scale AI data, integrating AI models into production for real-time analytics, and managing data using various NoSQL databases like PostgreSQL and MongoDB. You will also work closely with AI/ML engineers and data scientists to ensure streamlined workflows while maintaining security and compliance for all AI-driven applications.

To qualify for the Senior Backend Developer position at Aryng, candidates should ideally hold a Bachelor's degree in Computer Science, Engineering, or a related field, or have equivalent experience. We seek individuals with at least 5 years of backend programming experience, particularly in Python or Node.js. Familiarity with API handling, cloud platforms, serverless computing, NoSQL databases, and AI/ML pipelines is crucial for success in this role.

At Aryng, we highly value strong backend programming skills. Our Senior Backend Developer should be proficient in Python and/or Node.js, as these are the primary languages used in our development processes. Additionally, knowledge of other supporting technologies would be a beneficial bonus in successfully integrating AI models and building robust applications.

Working as a Senior Backend Developer at Aryng means being part of a unique, flat organizational structure that promotes radical transparency and collaboration. You will be working 100% remotely, allowing for flexibility in your working hours while maintaining mandatory overlap for collaboration with our U.S.-based teams. We prioritize work-life balance, ensure no burnout culture, and promote ongoing learning to stay ahead in the evolving AI landscape.

Yes, prior experience in a startup can be quite beneficial for the Senior Backend Developer role at Aryng. Startups often foster an agile, fast-paced environment, similar to our work culture, where adaptability and problem-solving skills are essential. Those with startup experience usually find it easier to navigate the challenges of building innovative solutions swiftly and efficiently.

When answering this question, highlight specific projects or tasks where you've utilized Python or Node.js. Discuss challenges you faced, how you overcame them, and the outcome of your efforts. This will demonstrate your competency in these languages and showcase your problem-solving abilities.

In your response, define API optimization and discuss its importance in enhancing the performance and reliability of applications. Provide examples of how you've optimized APIs in the past, focusing on response time improvements or handling increased loads, to showcase your expertise.

Describe your understanding of security best practices, including authentication methods, data encryption, and secure coding techniques. Provide examples of measures you've implemented to ensure compliance with relevant regulations and industry standards, which will reflect your awareness of the importance of security in backend development.

Share your experience working with AI/ML engineers, data scientists, and other team members. Discuss how effective communication, shared goals, and understanding each member's expertise can lead to successful project outcomes. You might also describe tools or practices you've used to facilitate collaboration.

Share the resources you use to stay informed about trends in backend development, such as blogs, webinars, conferences, or online courses. Discuss specific examples of how using new technologies or methods has influenced your past work, showing your commitment to continuous learning.

Outline your troubleshooting methodology, including how you gather information, reproduce issues, and analyze root causes. Share an example of a challenging bug you resolved and how your approach led to a successful outcome, emphasizing your problem-solving skills.

Discuss your process for designing scalable architectures, considering factors like load balancing, data storage, and asynchronous processing. Providing an example from a past project where scalability was a key factor can illustrate your expertise and thought process.

Describe your hands-on experience with cloud services like AWS, Azure, or Google Cloud. Share specific projects where you utilized serverless computing to improve efficiency and scalability, demonstrating your ability to leverage modern architecture for backend development.

When discussing your experience, mention the specific NoSQL databases you've worked with, like MongoDB or Redis. Explain how you implemented these databases in your projects, focusing on the benefits of using NoSQL for the specific use cases you encountered.

Advise on best practices for successfully deploying AI/ML models, such as ensuring thorough testing, building robust monitoring systems, and maintaining version control. Utilizing an example where you implemented a model into production can showcase your practical knowledge and readiness for such tasks.