Lead Backend Engineer - job 1 of 2

As a Lead Backend Engineer at Weekday's client, your responsibilities include designing and building scalable backend systems using Flask and PostgreSQL, managing cloud infrastructure on AWS, and developing RESTful and GraphQL APIs. You will also focus on integrating Large Language Models (LLMs) into our applications, ensuring high performance, security, and the ability to troubleshoot any issues that arise.

The Lead Backend Engineer position at Weekday's client requires a minimum of 5 years of experience in backend development. Candidates should have strong expertise in Flask and PostgreSQL, practical experience with AWS services, and familiarity with AI/ML applications, particularly LLMs. Knowledge of data processing tools like pandas and API development is also essential.

Important skills for the Lead Backend Engineer role at Weekday's client include proficiency in Flask and PostgreSQL, experience with AWS services, knowledge of LLM integration, and the ability to develop RESTful and GraphQL APIs. A solid understanding of backend performance, scalability, and security practices is crucial, as well as excellent problem-solving and communication skills.

Yes! The Lead Backend Engineer position at Weekday's client is a remote-first opportunity, allowing you to work from anywhere in India. This setup promotes flexibility and collaboration with a globally distributed team while ensuring you receive direct mentorship from the founding members.

The salary range for the Lead Backend Engineer position at Weekday's client is between Rs 40,00,000 and Rs 60,00,000 per annum (INR 40-60 LPA). This compensation reflects the importance of the role and the expertise required to drive the development of cutting-edge AI-powered applications.

When answering, use the STAR method: describe the situation, what tasks you managed, the actions you took, and the results. Highlight your technical skills, decision-making, and teamwork, aligning it with the responsibilities at Weekday's client.

Discuss your methodologies for API design, including REST vs. GraphQL, and considerations for scalability and security. Mention specific examples where you’ve effectively implemented APIs in past projects, linking to what Weekday's client is seeking.

Be specific about AWS services you’ve used (like EC2, S3, Lambda), and provide examples of projects where you utilized these services to enhance backend systems, showcasing your relevance to the role at Weekday's client.

Talk about best practices you've implemented, such as optimizing database queries, using monitoring tools, and applying security protocols. Relate this to how you would manage the backend systems at Weekday's client.

Share your systematic approach to identifying and resolving issues. Discuss any tools or methodologies you've found effective, tying it back to ensuring reliability at Weekday's client's backend.

If applicable, provide specific instances where you’ve worked with LLMs or AI tools. Explain your role and highlight the skills you would bring to Weekday's client's emphasis on AI-powered applications.

Detail your experience using pandas for data manipulation and analysis, providing examples where you've successfully driven decision-making processes. Relate it to potential applications at Weekday's client.

Speak about your communication style and any tools you use for collaboration. Highlight how this plays into the remote workflow at Weekday's client to ensure clear and effective teamwork.

Discuss best practices such as code reviews, unit testing, and documentation that you utilize to keep code clean and maintainable, as this is critical for the role at Weekday's client.

Share your passion for learning and any resources you use to stay informed about backend technologies. This demonstrates your commitment to professional growth, aligning well with Weekday's client's vision.