Fullstack Developer (MERN + AI)

What matters most

• End-to-end application design

  The role spans front-end and back-end design, with an emphasis on scalable, secure, high-performing applications and cloud-native approaches. Prepare to explain architectural decisions and their trade-offs across both layers.

• Responsive, accessible interfaces

  The posting calls for responsive, accessible, performant interfaces using frameworks such as React, Vue or Angular; React is preferred. Prepare examples of how you evaluated accessibility and performance alongside interface functionality.

• APIs and data performance

  The role develops APIs, services and business logic, works with relational and NoSQL databases, and optimizes queries. Prepare to explain API contracts, data-model choices and how you diagnosed a slow query.

• Production code quality

  Clean, testable, maintainable code, code reviews and automated tests are explicit duties. Prepare to describe how those practices supported reliable delivery, not just which tools were used.

• Delivery and developer guidance

  The posting calls for refining requirements with cross-functional teams, assessing feasibility, delivering on time and guiding junior developers through reviews, pairing and knowledge sharing. Prepare examples that show how technical decisions were communicated and others were supported.

Likely challenges to think through

• Balancing speed with maintainability

  A likely trade-off is delivering features on time while preserving tests, review quality and maintainable code; this is a preparation hypothesis, not a reported problem at Grazitti. Prepare a concrete example of narrowing scope or sequencing work without dropping essential quality checks.

• Managing distributed-system complexity

  The requirements mention microservices, Docker, Kubernetes, Kafka familiarity and exposure to large-scale distributed systems. A possible challenge is deciding when service separation or asynchronous messaging justifies its operational complexity. Prepare to discuss service boundaries, failure handling and simpler alternatives.

• Clarifying the AI scope

  Although the title includes “AI,” the posting specifies no AI duties or techniques. The challenge may be establishing what that label means without assuming an AI project exists. Prepare to ask about the expected AI-related work while grounding your discussion in the stated full-stack responsibilities.

Topics to prepare

• Full-stack architecture and design patterns

  Sketch a React-to-Node.js-to-database application, then explain how its design supports scalability, security, performance, and maintainability. The posting explicitly calls for system architecture, design patterns, and production-ready applications.

• API design and service boundaries

  Compare RESTful and GraphQL approaches for one feature, including how the front end consumes the API; explain when to separate its business logic into a service. The role calls for building and consuming APIs and experience with microservices architecture.

• Relational and NoSQL data choices

  Model the same feature in PostgreSQL or MySQL and in MongoDB; explain the trade-offs and identify a query likely to need optimization. The posting names both database categories and query performance.

• Front-end quality

  Review a sample interface design for responsive behavior, keyboard access, and avoidable performance costs; explain the changes you would make. Responsive, accessible, performant interfaces are explicit responsibilities, with React preferred.

• Cloud-native and distributed-system concepts

  Diagram a small microservices deployment and explain the roles of Docker, Kubernetes, and a Kafka message queue, including a possible failure path. The posting asks for knowledge or familiarity with these technologies and exposure to large-scale distributed systems.

Skills to revise

• Build a React interface

  Implement a responsive, keyboard-accessible view in JavaScript or TypeScript that displays API data and handles loading and error states. This exercises the posted front-end responsibilities and the React preference.

• Implement and consume an API

  Create a small Node.js API with business logic, then call it from the interface; explain your endpoint or schema choices. The role explicitly involves developing services and building and consuming RESTful or GraphQL APIs.

• Diagnose a slow database query

  Write a query against a small PostgreSQL, MySQL, or MongoDB dataset, inspect why it is slow, and revise it. Query optimization across relational and non-relational databases is a stated responsibility.

• Test and review code

  Add automated tests for an API behavior and review a short change for correctness, readability, and maintainability. The posting explicitly calls for testable code, automated tests, and code reviews.

• Practice container and messaging basics

  As a preparation suggestion, containerize the small Node.js service with Docker and trace how a Kafka message would be produced and handled; explain where Kubernetes would fit. The posting specifies knowledge of Docker and Kubernetes and familiarity with Kafka, but does not prescribe an implementation exercise.

• Refine and explain a feature plan

  Practice turning an ambiguous feature request into questions, a feasible implementation plan, and concise code-review feedback for a junior developer. This reflects the stated cross-functional collaboration, feasibility assessment, and mentoring responsibilities.

• Select an end-to-end project walkthrough

  Prepare a diagram and a five-minute account of a project you can discuss, covering your front-end and back-end decisions, your contribution, trade-offs, and production outcome. The role spans both layers and emphasizes system design.

• Demonstrate front-end decisions

  Prepare a screen or code example you can explain in terms of responsiveness, accessibility, performance, and JavaScript or TypeScript. React is preferred in the posting; Vue and Angular are also named.

• Trace an API through the data layer

  Prepare one example that follows a REST or GraphQL request through business logic to a relational or NoSQL database. Be ready to explain schema choices and a measured or plausible query-optimization approach; label any hypothetical example as such.

• Practice a system-design exercise

  Sketch a secure, scalable application and explain service boundaries, failure handling, and performance trade-offs. Consider where microservices, Docker or Kubernetes, and Kafka would or would not help; the posting names these skills but does not prescribe an architecture.

• Gather code-quality and leadership evidence

  Choose examples you can substantiate of automated testing, code review, and, if applicable, guiding junior developers. Prepare a concise account of how you refined requirements or assessed feasibility with a cross-functional team.

• Write questions about the role’s scope

  Bring questions about the current front-end and back-end stack, system-design responsibilities, and how production quality is evaluated. Ask what “AI” means for this position: it appears in the title, but the listed duties do not specify AI work.