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Senior Software Engineer

Allegis Global Solutions

5 - 10 years

Bengaluru

Posted: 08/01/2026

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Job Description

Job Description Senior Software Engineer (Full Stack Developer)

Position: Senior Software Engineer Full Stack

Experience: 8+ years

Employment Type: Full-Time


Role Overview

We are looking for an experienced Full Stack Developer (SSE) with strong expertise in Java , React , AWS , and AI/ML as primary skills. The ideal candidate should also have solid knowledge of API development and SQL as secondary skills. This role involves designing and delivering scalable, cloud-native applications, implementing AI-driven features, and ensuring seamless integration across the stack.


Key Responsibilities

  • Design and develop end-to-end web applications using Java (Spring Boot) and React.js .
  • Build and maintain RESTful APIs and microservices architecture.
  • Implement AI/ML models into application workflows for predictive analytics and automation.
  • Deploy and manage applications on AWS cloud services (EC2, Lambda, S3, RDS, API Gateway).
  • Optimize application performance, scalability, and security.
  • Work with SQL databases for data modeling, queries, and performance tuning.
  • Collaborate with cross-functional teams (Product, QA, DevOps) in an Agile environment .
  • Ensure best practices in CI/CD pipelines , code quality, and unit testing.


Required Skills & Qualifications

  • 8+ years of experience in Full Stack Development .
  • Strong proficiency in:
  • Java (Spring Boot, Microservices)
  • React.js (Hooks, Redux, Component Lifecycle)
  • AWS (EC2, Lambda, S3, RDS, API Gateway)
  • AI/ML (basic model integration, TensorFlow/PyTorch preferred)
  • Solid understanding of API development , RESTful services , and SQL .
  • Experience with CI/CD tools (Jenkins, GitHub Actions) and containerization (Docker, Kubernetes).
  • Knowledge of security best practices and performance optimization .


Added Advantage

  • Experience with serverless architecture on AWS.
  • Familiarity with NoSQL databases (MongoDB, DynamoDB).
  • Exposure to data pipelines and streaming platforms (Kafka).

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