Staff+ Software Engineer, Backend and Infra

As a Staff+ Software Engineer, Backend and Infra at Haize Labs, your key responsibilities include designing and building scalable infrastructure that can handle tens of thousands of LLM calls per second, collaborating with the research team on innovative AI models, and interfacing directly with customers to tailor their experiences. You'll also mentor talent and help establish technical direction while ensuring the operational excellence of our team.

To qualify for the Staff+ Software Engineer, Backend and Infra position at Haize Labs, you should possess at least 7 years of industry experience with a minimum of 3 years leading significant engineering initiatives. A strong proficiency in backend programming languages such as Python or Go, along with a robust understanding of modern cloud infrastructure and databases like Postgres and MongoDB, is essential for success.

The Staff+ Software Engineer, Backend and Infra position at Haize Labs requires in-person attendance at our New York City office. This in-person collaboration ensures that our dynamic team can effectively innovate and communicate, providing the best solutions for our clients in the competitive AI landscape.

In the Staff+ Software Engineer role, you'll work with a range of advanced tools and technologies, including Kubernetes and Terraform for cloud infrastructure management and AWS, GCP, or Azure platforms. Additionally, a strong understanding of both relational and NoSQL databases will be instrumental in your role as you design scalable systems.

As a Staff+ Software Engineer, Backend and Infra at Haize Labs, you can expect a competitive compensation package ranging from $225,000 to $480,000, plus equity and additional benefits. We recognize the value of exceptional talent and aim to provide an attractive package to support your contributions to our mission.

In answering this question, be sure to highlight specific projects where you designed or managed distributed systems. Discuss the challenges faced, how you ensured scalability, and any metrics or outcomes that demonstrate your success.

Talk about your preferred programming languages in the context of the job’s requirements, detailing your proficiency with each. Share how efficiency, scalability, and maintainability influenced your choices in past projects.

Explain your approach to task management, perhaps including methods like Agile or Kanban. Share a specific example where you effectively managed numerous responsibilities while achieving desired outcomes.

Discuss your belief in mentorship and specific strategies you use to support junior engineers. Share examples of successful mentorship experiences you’ve had and how it has positively impacted the team's performance.

Provide a comprehensive overview of cloud infrastructure's significance in modern software development. Use examples to illustrate how it has enhanced scalability, reliability, and performance in your previous work.

Structure your answer using the STAR method (Situation, Task, Action, Result). Discuss the specific challenge, the steps you took to solve it, and the successful outcome, emphasizing problem-solving skills.

Share your familiarity with various database systems, be it relational databases like PostgreSQL or NoSQL solutions like MongoDB. Discuss instances where you've optimized database queries or improved performance.

Talk about the practices you implement to maintain code reliability, such as rigorous testing, code reviews, and adherence to best practices. Share specific instances where these practices have led to improved product quality.

Craft an answer that reflects your alignment with Haize Labs’ mission. Discuss your passion for AI reliability and express enthusiasm about the innovative work being done, emphasizing how your skills can contribute to their goals.

Explain the critical role of infrastructure in supporting AI applications, focusing on aspects such as scalability, reliability, and performance. Use past experiences to illustrate how you have tackled infrastructure challenges successfully.