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Crescendo Global·10 days ago
10 days ago

Java React Developer_Bangalore

Full-timeHybridSenior · 5-8 yearsReact Developer

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Must-have skills for this role

  • java
  • reactjs
  • spring boot
  • javascript

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What you'll do

  • Full-Stack Application Development: Architect and implement high-performance, responsive web applications using ReactJS and robust, scalable backend microservices using Java / Spring Boot.
  • Traceability & Analytics Dashboards: Build interactive visual dashboards and reporting modules to track requirement-to-test matrices, engineering artifacts, and lifecycle metrics across complex systems.
  • AI & Machine Learning Integrations: Integrate generative AI and LLM-assisted features (summarization, semantic search, automated requirement gap detection, and predictive traceability) into core engineering platforms.
  • Process & Audit Logging: Build end-to-end process logging, system audit trails, and observability frameworks to monitor requirements modifications, execution status, and compliance workflows.
  • REST APIs & Backend Microservices: Design, build, document, and maintain secure, stateless RESTful APIs and middleware to handle high-volume transactions and seamless system integrations.
  • Data Management & Optimization: Design optimized relational data schemas and write complex SQL queries, stored procedures, and performance-tuned data retrieval routines.
  • Collaboration & Standards: Partner closely with systems engineers, product leads, and QA teams to translate functional specifications into clean, modular, test-driven code.

What they're looking for

  • Experience: 5 to 8 years of hands-on experience in full-stack software development.
  • Core Languages: Strong proficiency in Java (8/11/17+) and modern JavaScript / TypeScript.
  • Frameworks: Extensive experience building enterprise microservices using Spring Boot / Spring Framework and dynamic user interfaces using ReactJS.
  • API & Integrations: Proven expertise in architecting and consuming secure RESTful APIs (JSON, OpenAPI/Swagger).
  • Database & SQL: Deep working knowledge of relational databases (e.g., PostgreSQL, MySQL, Oracle) and writing optimized SQL queries.
  • Engineering Best Practices: Solid understanding of OOP principles, Design Patterns, CI/CD pipelines, Git, and automated testing (JUnit, Mockito, Jest).

Nice to have

  • IBM ELM Ecosystem: Hands-on exposure to IBM Engineering Lifecycle Management tools (such as DOORS Next, ETM, EWM) or OSLC-based integrations.
  • AI/LLM Application Layer: Experience integrating LLM APIs (OpenAI, Bedrock, or open-source models) via frameworks like LangChain, LlamaIndex, or Spring AI.
  • Containerization & Deployment: Familiarity with Docker, container orchestration (Kubernetes), and cloud services (AWS or Azure).
  • Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related engineering field.

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

Job Title: Software Engineer – Requirements Traceability & AI

Experience Level: 5–8 Years

Location: Bangalore, India (Hybrid / On-site)

Employment Type: Full-Time

Role Summary

We are seeking an experienced Software Engineer (5–8 Years) to design, develop, and scale enterprise full-stack applications focused on Requirements Traceability, Engineering Analytics, and AI Integrations. In this role, you will build secure backend services, intuitive web dashboards, and AI-assisted automation pipelines that connect engineering artifacts across the software and systems development lifecycle.

Key Responsibilities

  • Full-Stack Application Development: Architect and implement high-performance, responsive web applications using ReactJS and robust, scalable backend microservices using Java / Spring Boot.
  • Traceability & Analytics Dashboards: Build interactive visual dashboards and reporting modules to track requirement-to-test matrices, engineering artifacts, and lifecycle metrics across complex systems.
  • AI & Machine Learning Integrations: Integrate generative AI and LLM-assisted features (summarization, semantic search, automated requirement gap detection, and predictive traceability) into core engineering platforms.
  • Process & Audit Logging: Build end-to-end process logging, system audit trails, and observability frameworks to monitor requirements modifications, execution status, and compliance workflows.
  • REST APIs & Backend Microservices: Design, build, document, and maintain secure, stateless RESTful APIs and middleware to handle high-volume transactions and seamless system integrations.
  • Data Management & Optimization: Design optimized relational data schemas and write complex SQL queries, stored procedures, and performance-tuned data retrieval routines.
  • Collaboration & Standards: Partner closely with systems engineers, product leads, and QA teams to translate functional specifications into clean, modular, test-driven code.

Required Skills & Qualifications

  • Experience: 5 to 8 years of hands-on experience in full-stack software development.
  • Core Languages: Strong proficiency in Java (8/11/17+) and modern JavaScript / TypeScript.
  • Frameworks: Extensive experience building enterprise microservices using Spring Boot / Spring Framework and dynamic user interfaces using ReactJS.
  • API & Integrations: Proven expertise in architecting and consuming secure RESTful APIs (JSON, OpenAPI/Swagger).
  • Database & SQL: Deep working knowledge of relational databases (e.g., PostgreSQL, MySQL, Oracle) and writing optimized SQL queries.
  • Engineering Best Practices: Solid understanding of OOP principles, Design Patterns, CI/CD pipelines, Git, and automated testing (JUnit, Mockito, Jest).

Preferred Skills

  • IBM ELM Ecosystem: Hands-on exposure to IBM Engineering Lifecycle Management tools (such as DOORS Next, ETM, EWM) or OSLC-based integrations.
  • AI/LLM Application Layer: Experience integrating LLM APIs (OpenAI, Bedrock, or open-source models) via frameworks like LangChain, LlamaIndex, or Spring AI.
  • Containerization & Deployment: Familiarity with Docker, container orchestration (Kubernetes), and cloud services (AWS or Azure).
  • Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related engineering field.

Company

CG
Crescendo Global

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Crescendo Global's careers site·first seen 22 Sept 2026·last verified 22 Sept 2026·How we source jobs

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