Lead Backend Engineer

The Lead Backend Engineer at Across AI plays a crucial role in designing, implementing, and maintaining complex software systems. Key responsibilities include defining technical strategies, setting up reliable infrastructure, adhering to coding best practices, developing core product features, and collaborating with the team to enhance product development.

Candidates for the Lead Backend Engineer position at Across AI should possess a Bachelor's degree in Computer Science or a related field, along with over 5 years of back-end development experience. Proficiency in programming languages like Python, Java, or Node.js, along with a solid understanding of microservices architecture, is essential.

The ideal Lead Backend Engineer at Across AI should have a strong grasp of programming languages (Python, Java, Node.js), cloud platforms (AWS, GCP, Azure), containerization technologies (Docker, Kubernetes), and databases (SQL and NoSQL). Familiarity with CI/CD tools and a good understanding of security best practices are also important.

At Across AI, the Lead Backend Engineer contributes to project management by ensuring that technical solutions align with the broader project goals. This includes maintaining communication with founders and stakeholders, managing timelines, and overseeing the delivery of high-quality software solutions on schedule.

The work environment for a Lead Backend Engineer at Across AI is fast-paced and collaborative, typical of a growing startup. Employees are encouraged to share their knowledge, engage in teamwork, and continuously innovate, making it a dynamic place for professionals who thrive on collaboration and pushing technological boundaries.

Highlight your specific experiences using languages like Python, Java, or Node.js in previous projects. Provide examples of how you applied these technologies to build scalable systems and APIs, detailing the challenges you faced and how you overcame them.

Discuss your adherence to coding standards through comprehensive code reviews, documentation, and testing practices. Mention tools and methodologies you've used to maintain quality and ensure that all code is maintainable and scalable.

Talk about how you assess requirements, choose the right architectural patterns (like microservices), and consider factors such as load balancing and failover strategies. Provide a past example where your design ensured scalability.

Choose a project that illustrates your problem-solving skills and technical expertise. Outline the challenges, your approach to overcoming them, and the project's outcome, emphasizing any innovative solutions you implemented.

Discuss your methods for keeping abreast of industry changes, such as following tech blogs, attending conferences, or taking online courses. Mention any specific areas where you have recently enhanced your knowledge.

Be prepared to discuss tools you've used like Jenkins or GitLab CI, detailing how you've implemented CI/CD pipelines in your projects and the benefits of doing so, such as improved deployment speed and reduced errors.

Explain your commitment to open communication and collaboration. Emphasize your ability to address issues promptly, seeking to understand different perspectives and working toward a solution that aligns with team goals.

Share your experience with both SQL and NoSQL databases, illustrating your approach to management tasks like optimization, indexing, and backups. Discuss any specific examples of successfully handling large amounts of data.

Emphasize the importance of security measures in backend development. Discuss strategies you've employed, such as data encryption, secure API design, and regular code assessments to ensure the safety and integrity of your systems.

Demonstrate your metrics-driven approach, discussing how you assess user feedback, system performance, and incident reports to measure success post-deployment and implement improvements where necessary.