Full Stack Engineer
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What you'll do
- Develop frontend applications using React, Redux/RTK, Hooks, and TypeScript.
- Develop backend services using Java and Spring Boot.
- Design and implement REST APIs, handling authentication, middleware, exception handling, logging, and documentation using Swagger/OpenAPI.
- Manage and optimize databases including PostgreSQL and MongoDB, performing SQL optimization, database migrations, and performance tuning.
- Implement messaging and DevOps practices using Kafka, Git workflows, Docker, and CI/CD pipelines.
- Integrate cloud services and build scalable, production-grade applications on platforms like AWS.
- Utilize AI coding assistants and LLM tools for code generation, refactoring, testing, and improving developer productivity.
What they're looking for
- Strong hands-on experience in React (including state management, Redux/RTK, Hooks, Typescript) and backend development using Java (Spring Boot).
- Good understanding of REST API architecture, authentication, middleware, exception handling, logging, Swagger/OpenAPI, and unit testing.
- Strong experience with PostgreSQL/MongoDB, SQL optimization, database migrations, and performance tuning.
- Comprehensive knowledge of Kafka, Git workflows, Docker, CI/CD pipelines, and cloud platforms.
- Experience integrating AWS services and building scalable, production-grade applications.
- Hands-on experience using AI coding assistants and LLM tools for code generation, refactoring, testing, and improving developer productivity.
Nice to have
- AWS preferred, Azure or GCP
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Strong hands-on experience in React (including state management, Redux/RTK, Hooks, Typescript) and backend development using Java (Spring Boot).
Good understanding of REST API architecture, authentication, middleware, exception handling, logging, Swagger/OpenAPI, and unit testing.
Strong experience with PostgreSQL/MongoDB, SQL optimization, database migrations, and performance tuning.
Comprehensive knowledge of Kafka, Git workflows, Docker, CI/CD pipelines, and cloud platforms (AWS preferred, Azure or GCP).
Experience integrating AWS services and building scalable, production-grade applications.
Hands-on experience using AI coding assistants and LLM tools for code generation, refactoring, testing, and improving developer productivity.
Company
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