Senior Software Engineer II

As a Senior Software Engineer II at Extend, your main responsibilities will revolve around architecting and developing scalable applications and APIs using AWS Serverless technologies. You will collaborate with product managers, designers, and integration specialists to enhance user experiences while influencing platform architecture for scalability and reliability. You’ll also be instrumental in mentoring team engineers and overseeing sophisticated data management solutions critical to our operations.

To qualify for the Senior Software Engineer II position at Extend, candidates should possess at least 7 years of experience in full-stack software development, focusing on backend technologies and cloud infrastructure. Proficiency in TypeScript, NodeJS, and React is essential, along with a solid track record of building scalable systems in AWS. Candidates should also have experience with data management principles and should be able to communicate technical concepts effectively.

The Senior Software Engineer II role at Extend plays a pivotal role in enhancing customer satisfaction by developing impactful software that improves how merchants engage with their customers. By building reliable and user-focused applications, you will help ensure a smooth interaction between merchants and consumers, directly positively impacting their experience with protection plans.

In the Senior Software Engineer II role at Extend, you will work with advanced technologies including TypeScript, NodeJS, React, and AWS serverless frameworks. Your expertise will help in creating highly available APIs and distributed systems that are integral to our modern protection plan solutions.

Absolutely! At Extend, the Senior Software Engineer II will have numerous opportunities for career growth. In addition to mentoring team members, you'll have the chance to influence key architectural decisions and participate in cross-functional initiatives, allowing you to expand your technical skills and leadership abilities within a dynamic and supportive team environment.

When answering this question, be sure to highlight specific projects where you utilized AWS serverless frameworks such as Lambda, API Gateway, and DynamoDB. Discuss the challenges you faced and how you optimized performance and scalability within these projects.

Discuss your architectural design processes, emphasizing your experience with distributed systems and cloud environments. Talk about the principles you follow, such as microservices architecture, event-driven design, and load balancing strategies to maintain high availability.

Highlight your experience working in cross-functional teams and describe instances where collaboration led to successful product outcomes. Emphasize the communication strategies you employ to ensure alignment with product managers, designers, and other stakeholders.

Discuss your approach to API design, including best practices like versioning, error handling, and documentation. You might also want to mention any specific tools or frameworks you use for testing and monitoring API performance.

Share your experiences in providing mentorship to junior engineers, discussing your approach to knowledge-sharing sessions, code reviews, and offering constructive feedback. Highlight how you adapt your mentoring style to meet individual learning needs.

Use the STAR method (Situation, Task, Action, Result) to structure your response. Choose a specific challenge that highlights your problem-solving skills and adaptability while showcasing how you delivered a solution effectively.

Discuss your strategies for continuous learning, such as attending conferences, participating in webinars, contributing to open-source projects, or enrolled in online courses. Mentioning specific resources or communities you engage with can strengthen your response.

Outline the coding standards you adhere to, such as consistent naming conventions, documentation practices, and the use of code linters or formatters. Explain how following these standards contributes to maintainable and readable code.

Provide details about your experience in data modeling, discussing principles you follow to maintain efficiency and reliability in data-driven systems. Mention specific database technologiesyou have worked with and any relevant optimizations you implemented.

Explain your approach to receiving and integrating feedback, highlighting your ability to keep an open line of communication. Share an example where feedback led to a significant improvement in a project's outcome.