As a Software Engineer, Backend at Hayden AI, your primary responsibilities include defining and building the backbone for our services architecture that supports all cloud services and software engineers, operating our CI/CD system for physical devices and cloud services, and applying infrastructure as code to manage our multi-region AWS deployment. You'll also work collaboratively across teams to gather requirements and create technical solutions, ensuring best practices in DevOps, security, and site reliability engineering are upheld.

To be successful as a Software Engineer, Backend at Hayden AI, candidates should possess a Bachelor's degree in Computer Science or a related field, along with 3-5+ years of industry experience. Important qualifications include deep knowledge of the AWS ecosystem, proficiency in programming Languages Python and Go, and a solid understanding of relational, time series, and document databases. Additionally, effective problem-solving skills and an ability to thrive in fast-paced environments are essential.

At Hayden AI, Software Engineers, Backend enjoy numerous benefits including medical, dental, and vision coverage for employees and dependents, a 401(k) plan with company matching, unlimited PTO, and daily catered lunches at our San Francisco office. Our emphasis on continuous learning and development ensures that you'll be supported by a diverse and talented team dedicated to helping you achieve your full potential.

Hayden AI is committed to fostering an inclusive work environment for all employees, including those in Software Engineer, Backend positions. We ensure that individuals have the opportunity to contribute to our mission and grow professionally without discrimination based on race, gender, or any legally protected status. Our dedication to diversity is crucial to our innovative approach to solving challenges in transit systems.

The work culture for a Software Engineer, Backend at Hayden AI is dynamic, collaborative, and innovative. Employees thrive in an agile environment where they can take ownership of their projects, work with cross-functional teams, and contribute to impactful solutions. We encourage open communication, continuous learning, and the sharing of ideas, making it a fulfilling place to grow your career.

As a Software Engineer, you should highlight your proficiency in Python and Go, explaining how you have used them in past projects. Be prepared to discuss specific use cases where these languages helped solve complex problems, and any frameworks or libraries you are familiar with that enhance your development process.

When discussing your experience with AWS services, focus on specific tools like EKS, S3, Lambda, and RDS. Describe how you have leveraged these services for scalability and reliability in previous projects, and share any hands-on experiences regarding infrastructure management and CI/CD integration in AWS.

In an interview, explain your systematic approach to problem-solving, which might include identifying the issue, researching potential solutions, and testing hypotheses. Providing a specific example of a complex problem you've solved in backend development will demonstrate your capabilities clearly.

Discuss your experience with code reviews, testing strategies, and the use of automation tools. Share how you prioritize writing clean, maintainable code and your commitment to following coding standards and best practices throughout the development process.

Be sure to cover any CI/CD tools you've used along with your understanding of their significance in software development. Discuss how you've implemented CI/CD in your previous projects, what challenges you faced, and how you overcame them to enhance delivery speed and software quality.

Employing techniques such as agile methodologies, prioritization tools, and regular progress meetings can be effective. Offering real-life examples where you successfully met project deadlines despite pressures can showcase your time management skills.

Focus on your leadership and mentoring skills, explaining how you encourage collaboration and knowledge sharing among team members. Discuss specific instances where you initiated discussions around best practices or implemented new processes to improve team performance.

Cover the different types of databases you have worked with, such as relational, time series, and document databases. Be prepared to explain your approaches to data modeling, querying, and optimization tactics when working with SQL and NoSQL databases.

Mention resources such as online courses, tech blogs, community forums, or technical events you participate in. Demonstrating your commitment to continuous learning and adaptation to new technologies is crucial in a rapidly evolving field like backend development.

Prepare to share a specific example detailing the context of the performance issue, the steps you took to diagnose it, and the solutions you implemented that resulted in quantifiable performance improvements. This shows your ability to generate impactful results.