How a Top Tech Candidate Secured an Immediate Offer: My Recent Interview Experience

Recently, our projects have multiplied and we signed many contracts, but recruiting suitable talent has become even harder than developing technology. Over the past 60 days we interviewed at least 150 candidates. In a third‑tier city where the internet ecosystem is relatively weak, we finally met a candidate who stood out.

The candidate has three years of experience and returned from Hangzhou. Their resume matched our company's tech stack closely, and the technical points were clearly expressed.

Technical First Interview

Self‑introduction.

Discuss AI‑related development on the resume: business context and technologies used.

Ability to develop front‑end, back‑end, and mobile independently.

Uniapp multi‑platform development issues and how they were solved.

Experience with AI coding tools.

SQL query optimization methods used in actual development.

Explanation of MySQL transactions.

Detailed description of MySQL lock types.

Optimization strategies for queries on tens of millions of rows.

Most familiar micro‑service component.

SpringAI and LangChain tech stack and related functional modules.

Solution for SpringBoot CORS problems.

Causes of Redis cache avalanche and mitigation methods; handling cache breakdown.

Difference between HTTP and HTTPS and experience deploying SSL certificates.

Linux server commands: view current processes, exit, and check current directory.

SQL for paginated product list (example shown below).

Vue lifecycle order.

Differences between Vue2 and Vue3.

Useful Uniapp components.

Approach to querying a dataset with tens of millions of rows.

Understanding of garbage‑collection mechanisms.

Use of large models in AI projects and whether fine‑tuning was involved.

Most familiar component in Spring Cloud.

Open‑source projects followed or technical bloggers of interest.

SQL example for a paginated product list:

SELECT * FROM products ORDER BY id LIMIT 10 OFFSET 10;

Technical Second Interview

Detailed explanation of known RPC frameworks.

Working principle of Eureka.

Process of domain name resolution.

Difference between polymorphism and method overloading.

Principle of Spring AOP and how dynamic proxies are implemented.

Implementation details of a flash‑sale (秒杀) feature.

Linux command to find the service corresponding to a specific port.

Front‑end implementation from UI design using Gemini3.

Nginx request handling process and differences between Nginx and an API gateway.

Use of WebSocket in an instant‑messaging project and its workflow.

Most complex module built beyond basic CRUD.

Project using a cursor; time estimate when using Claude AI.

Personal background question about hometown.

Previous salary and salary expectations.

Reason for leaving the previous company.

Outcome: The candidate demonstrated strong Java and SpringAI capabilities, used Claude and Gemini3 effectively, and aligned perfectly with the company's technical requirements. An offer was extended immediately, with a base salary plus project bonuses.

Because previous hires lacked reliability and caused wasted time and money, we now place greater emphasis on hands‑on ability when recruiting. We plan to hire two more technical staff before year‑end and aim to secure 120 commercial project orders in 2026.