Senior Backend Software Engineer

A Senior Backend Software Engineer at LVIS Corporation is tasked with implementing a data processing pipeline for cloud services, managing backend administrative functions such as account management and billing, and optimizing overall cloud service stability and performance. This role is pivotal in enhancing the data flow and ensuring seamless communication across regions, which is crucial for our AI-driven solutions in neurology.

To qualify for the Senior Backend Software Engineer position at LVIS Corporation, you need a minimum of six years of experience in software product development, as well as strong programming skills, particularly in Java and related frameworks. A BS degree in Computer Science or a similar technical field is also necessary. Ideal candidates will demonstrate expertise in implementing automated building and testing environments, alongside familiarity with code review processes using Git.

Candidates for the Senior Backend Software Engineer role at LVIS Corporation should be proficient in programming languages such as Java and be well-versed in frameworks like the Spring Framework and Hibernate. Familiarity with both RDBMS and No-SQL databases is crucial, alongside knowledge of algorithm design and data structures, to ensure effective implementation of our AI-driven applications.

While not mandatory, a Masters degree in Computer Science or a related field is preferred for the Senior Backend Software Engineer role at LVIS Corporation. Experience with medical device development utilizing HL7 standards, as well as cloud services like AWS or Google Cloud, will give candidates a competitive edge, enhancing their ability to contribute to our innovative projects in neurology.

At LVIS Corporation, we prioritize professional growth and employee engagement. As a Senior Backend Software Engineer, you’ll have the opportunity to collaborate with an international team, access continuous education and development resources, and be part of a culture that fosters innovation and encourages feedback. We believe that supporting our team members is key to our success in driving advancements in neurological care.

To answer this question, share specific projects where you developed web APIs using Java, discuss the frameworks you used, such as Spring, and elaborate on how you addressed challenges like performance optimization and security. Be sure to highlight any statistical outcomes that demonstrate your success.

When addressing problem-solving in software development, emphasize your methodology—whether it’s breaking down the issue, researching solutions, or prototyping. Provide a real-world example that showcases your analytical skills and ability to troubleshoot effectively under tight deadlines.

In answering this, identify the cloud platforms you have experience with, such as AWS, Google Cloud, or Azure. Discuss specific projects where you leveraged these services for scalability, data processing, or deployment. Highlight any relevant certifications and how you applied cloud services to improve system performance.

Discuss your process for maintaining code quality, including adherence to coding standards, conducting peer code reviews, and using version control systems like Git. Provide examples of how you have implemented automated testing or continuous integration practices to foster high-quality deliverables.

Provide a detailed account of a scenario where you identified performance bottlenecks and the strategies implemented to optimize the system. Highlight the tools used for monitoring performance and the measurable outcomes that resulted from your optimizations.

To effectively respond, talk about adopting principles like microservices architecture, load balancing, and thorough testing for various loads. Share an example of a project where you successfully designed a solution that scaled efficiently to handle increases in user demand.

In your response, highlight your background in algorithm design and your approach to selecting the right data structures for different problem sets. Discuss specific algorithms you’ve implemented, the challenges faced, and how your solutions improved system efficiency.

Focus on a project where your contributions were crucial to its success, detailing the challenges faced, how you addressed them, and what the final impact was on the organization or end-users. This highlights your resilience and teamwork capabilities.

Emphasize the significance of testing in your development lifecycle. Discuss the different testing types you utilize—unit tests, integration tests, etc.—and share your experience with automated testing frameworks and how they improve the overall quality of the final product.

Discuss strategies you use to stay current, such as following tech blogs, attending webinars and workshops, or participating in coding communities. Mention any relevant certifications or courses that have enriched your skill set and understanding of emerging technologies.