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The Aerospace Corporation

Software Engr II

Posted Yesterday
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Hybrid
Madurai, Tamil Nadu
Mid level
Hybrid
Madurai, Tamil Nadu
Mid level
Develop and maintain scalable full-stack enterprise applications using Java, Spring Boot, REST APIs, microservices, and React or Angular. Responsibilities include AI and generative AI integration, prompt engineering, performance optimization, testing, code reviews, CI/CD, deployment automation, and production support. The role requires cloud platform familiarity, database experience, containerization, and ownership of the complete application lifecycle.
The summary above was generated by AI

We are seeking a full Stack Java Developer with 4+ years of experience in designing, developing, and maintaining scalable enterprise applications using Java, Spring Boot, modern front-end frameworks, cloud platforms, and AI/Generative AI technologies.

Responsibilities

Key Responsibilities

  • Develop and maintain scalable Java-based applications using modern full-stack technologies.
  • Design and implement REST APIs and microservices following OOP principles and best practices.
  • Build responsive front-end applications using React or Angular.
  • Apply prompt engineering techniques to maximize the use of AI copilots and generative AI platforms.
  • Optimize application performance using multithreading and concurrency concepts.
  • Participate in code reviews, testing, deployment automation, and CI/CD processes.
  • Own the complete application lifecycle, from development through production support.
  • Stay updated with emerging technologies in Java, cloud, AI/ML, and Generative AI.
Qualifications

Desired Skills

  • 4+ years of experience in Full Stack Java development.
  • Strong expertise in Core Java, OOP, Spring Boot, Hibernate/JPA, REST APIs, and Microservices.
  • Proficiency in HTML5, CSS3, Bootstrap, JavaScript, and UI frameworks such as React or Angular.
  • Familiarity with AI/ML and Generative AI technologies, including LLMs such as Azure OpenAI, OpenAI, Gemini, prompt engineering, RAG, Spring AI, LangChain, Semantic Kernel, and AI service/API integration.
  • Knowledge of RDBMS databases such as Oracle and MS SQL Server.
  • Experience with Git, Maven/Gradle, Docker, Kubernetes, and CI/CD pipelines.
  • Exposure to cloud platforms such as Azure, AWS, or GCP.

Education

  • Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related discipline.
  • Master's degree in a relevant technical field preferred.

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