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Software Engineer - Java with Data Structures & Algorithms

Office in India: Bengaluru, India: Hyderabad
Java& 5 others
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We're seeking a Software Engineer with expertise in Java and Data Structures & Algorithms to join our engineering team and support the creation and delivery of scalable, high-performance applications.

Responsibilities
  • Work as part of a software engineering team, contributing to builds through consistent development practices
  • Identify and debug basic software components to resolve code defects
  • Support the development, monitoring, and maintenance of software across test, integration, and production environments
  • Automate deployment processes in test or production environments
  • Comply with security and regulatory requirements
  • Design and help implement APIs
  • Apply best practices for automated unit, integration, and regression testing
  • Take part in pull request reviews to maintain code quality
  • Contribute to software development within an Agile team, influencing team goals and overall architecture
  • Keep infrastructure safely extensible, scalable, and reliable while meeting SLAs for internal and external users
  • Deliver software solutions that are testable, intuitive, and easy to maintain
Requirements
  • 4-6 years of experience in software development, testing, and implementation
  • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related STEM discipline
  • Strong understanding of Java 8, Data Structures & Algorithms, and Microservices
  • Solid experience with REST APIs, JSON, and Kafka
  • Working knowledge of RDBMS and NoSQL technologies such as MongoDB, Redis, and PostgreSQL
  • Proficiency with Spring Boot, Maven, and GIT
  • Familiarity with Jenkins, GitHub Actions, and Agile development practices
  • Strong understanding of Linux/Unix and Gradle/Maven
  • Proven ability to build scalable, low-latency applications using multi-threaded, asynchronous, and reactive programming
  • Hands-on experience deploying containerized applications to cloud environments using Kubernetes and Docker
  • Solid knowledge of high availability techniques, profiling, and performance analysis
  • Strong capabilities in Design Patterns, System Design, and Problem Solving