Senior Backend Engineer - job 2 of 3

At Jerry, the Senior Backend Engineer will be an integral member of the DriveShield™ team. Responsibilities include overseeing system design and architecture to ensure scalable solutions, developing and optimizing stream processing applications using Kafka and Flink, and enhancing the overall performance of backend applications. You'll focus on non-functional requirements such as service availability and reliability while collaborating with data scientists to deploy models into production.

Ideal candidates for the Senior Backend Engineer role at Jerry should have at least 5 years of software engineering experience and be proficient in a core language like Java, Python, or Go. Knowledge of Kafka, Flink, and AWS is also crucial, along with experience in building stream processing applications. Strong problem-solving skills and the ability to ship products quickly are essential for success in this fast-paced environment.

Jerry fosters a vibrant and inclusive work culture where innovation thrives. As a Senior Backend Engineer, you will collaborate with passionate, curious individuals eager to solve real-world problems. We encourage open communication and creativity to help disrupt the market with our groundbreaking products. Join a team that celebrates shared successes and is committed to building a better future for car owners.

At Jerry, we prioritize the professional development of our Senior Backend Engineers by providing access to ongoing training and mentorship opportunities. You will be part of an environment that encourages learning and growth, enabling you to stay at the forefront of industry trends and technologies. We believe in investing in our team to help you reach your full potential and achieve your career goals.

As a Senior Backend Engineer at Jerry, you will play a critical role in enhancing driver safety and improving the car ownership experience for millions. Your contributions to building scalable, high-performance backend systems will directly support Jerry's ambitious growth goals. You'll be instrumental in achieving our vision of reaching 50 million customers, marking a significant impact on a $2 trillion market.

When addressing this question, focus on a specific project where you encountered technical challenges. Share details on the steps you took to identify the problem, the innovative solutions you implemented, and the outcomes. Highlighting your problem-solving skills and ability to work under pressure will show your potential fit for Jerry.

In your response, emphasize any projects where you built or optimized stream processing applications using technologies like Kafka or Flink. Discuss your understanding of the architecture, the challenges you faced during implementation, and how your approach improved system efficiency at your previous roles.

To answer this question effectively, discuss your strategies for designing scalable systems. Include methods like load balancing, microservices architecture, and database optimization. Provide examples of how you've successfully applied these strategies in previous roles to manage significant user growth.

When answering this question, be specific about your hands-on experience with AWS services relevant to backend development. Discuss projects where you utilized AWS for deployment, data storage, or computing needs, and highlight any achievements resulting from your effective use of cloud resources.

In your answer, illustrate your process for profiling application performance. Discuss tools and methodologies you’ve used to identify bottlenecks, such as performance testing or code review, and provide examples showing how your optimizations led to measurable improvements.

Your response should reflect a solid understanding of fault tolerance principles. Discuss mechanisms like redundancy, failover strategies, and data recovery methods you have implemented in backend systems to ensure high availability and robustness against failures.

Highlight your proficiency in core programming languages like Java, Python, or Go. Share specific examples of projects where you applied these languages skillfully, emphasizing your understanding of their frameworks and libraries relevant to backend engineering.

Discuss particular instances where you worked alongside data scientists to deploy models and integrate them into production environments. Highlight your role in supporting data processing needs and ensuring that the backend systems align with their requirements for effective model performance.

Share your strategies for continuing education, such as attending conferences, participating in online courses, and following industry thought leaders. Emphasize your dedication to staying current with emerging technologies and how you apply that knowledge to your work.

In your response, convey your passion for technology and innovation. Discuss how the dynamic nature of startups motivates you to push boundaries, contribute to meaningful products, and collaborate with like-minded individuals in a fast-paced setting.