Senior Backend Engineer - Infrastructure

As a Senior Backend Engineer - Infrastructure at Twin Health, your responsibilities include designing and maintaining scalable data pipelines, implementing complex data transformations, and contributing to the overall architecture of our platform. You’ll collaborate with various teams like data, AI, and product to ensure that data-driven strategies are effectively executed. Performance monitoring and optimizing the infrastructure for cost-efficiency and scalability will also be key components of your role.

To qualify for the Senior Backend Engineer - Infrastructure role at Twin Health, you should have a Bachelor’s degree in Computer Science or a related field, along with at least 3 years of experience in backend engineering, preferably in data-intensive applications. Strong experience with SQL, Python or Java, and knowledge of event-driven architectures and microservices are essential. Additionally, familiarity with cloud infrastructure like AWS or Azure is highly preferred.

Twin Health stands out as an incredible place for a Senior Backend Engineer - Infrastructure due to its mission-driven culture and commitment to innovation in healthcare. Recognized with multiple awards, including Innovator of the Year, the company fosters a collaborative environment where teams work together towards common goals. Additionally, employees enjoy a flexible work environment, comprehensive benefits, and opportunities for career growth.

Twin Health actively supports professional development for Senior Backend Engineers through various means such as ongoing training programs, cross-functional collaboration opportunities, and a commitment to a growth-oriented culture. Employees are encouraged to stay updated with technological advancements, and there are ample opportunities to work on innovative projects that enhance skills, fostering both personal and professional growth.

In the role of Senior Backend Engineer - Infrastructure at Twin Health, you will work on diverse projects focused on developing scalable data pipelines, building AI platforms, and enhancing the overall backend infrastructure. These projects not only involve technical challenges but also contribute to creating impactful healthcare solutions that improve patient care and outcomes, leveraging the power of data and AI.

To effectively answer this question, highlight specific projects where you developed data pipelines that accommodated various data types and workloads. Discuss the technologies you utilized, such as SQL or Python, and how you addressed performance challenges to ensure efficiency and reliability in your pipelines.

A solid response involves detailing instances where you've worked closely with product, data, or AI teams. Highlight your communication skills and how you align project goals between different teams to ensure that everyone's technical and strategic input is considered, leading to successful project outcomes.

Discuss specific tools and methodologies you used to track system performance, like logging and monitoring frameworks. Explain how you've used performance metrics to identify bottlenecks and the steps you took to address these issues, emphasizing a proactive rather than reactive approach to optimization.

Share your understanding of microservices and discuss any projects where you designed or implemented microservices. Highlight how this architecture improved scalability and maintainability, and discuss any frameworks or tools that were pivotal in your implementation.

Provide a specific example where you successfully implemented data transformation processes. Include the tools you used, the challenges faced, and how the transformed data facilitated better analytics or application functionality, showcasing your problem-solving skills and technical expertise.

Detail your experience with cloud platforms like AWS or Azure, focusing on specific services you have used for building applications or data storage solutions. Discuss how you've leveraged cloud capabilities to improve efficiency, scalability, and cost-effectiveness within your projects.

Talk about your commitment to writing maintainable and scalable code by adhering to software development best practices. Mention methodologies like code reviews, unit testing, and CI/CD processes that you employ to maintain high standards in code quality.

Express your understanding of how AI can optimize backend workflows, such as improving operational efficiency through predictive analytics and automating routine tasks. Share examples of integrating AI solutions into existing systems or processes, based on your past experiences or industry trends.

Articulate your admiration for Twin Health’s innovative approach to healthcare and how it resonates with your professional goals. Discuss your passion for technology and healthcare solutions, and how you see yourself contributing to the company's mission to improve health outcomes.

Share specific strategies you employ to meet deadlines without compromising on quality. Discuss your project management and prioritization skills, including how you communicate challenges to your team and stakeholders while offering solutions to keep projects on track.