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Software Engineer - Java

  • Source: LinkedIn
  • EPAM Systems
  • On-site
  • Bengaluru
  • Full-Time
  • Mid level

Job Description

We are seeking a Java-proficient Software Engineer with strong Data Structures & Algorithms skills to join our engineering team and contribute to building scalable, high-performance applications.

Responsibilities

  • Contribute to software builds as part of an engineering team by following consistent development practices
  • Identify and debug basic software components to fix code defects
  • Support the development, monitoring, and maintenance of software across test, integration, and production environments
  • Automate deployment processes in test or production settings
  • Comply with security and regulatory standards
  • Contribute to and design API implementations
  • Implement best practices for automated unit, integration, and regression testing
  • Review pull requests to maintain high-quality code delivery
  • Work within an Agile team to build software, influence team goals, and shape overall architecture
  • Maintain infrastructure that is scalable, reliable, safely extensible, and compliant with SLAs for internal and external users
  • Design software solutions that are testable, intuitive, and easy to maintain

Requirements

  • 4 to 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 proficiency in Java 8, Data Structures & Algorithms, and Microservices
  • Solid experience with REST APIs, JSON, and Kafka
  • Working knowledge of RDBMS and NoSQL technologies, including MongoDB, Redis, and PostgreSQL
  • Proficiency with Spring Boot, Maven, and GIT
  • Familiarity with Jenkins, GitHub Actions, and Agile methodologies
  • 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 foundation in high availability strategies, profiling, and performance analysis
  • Strong skills in Design Patterns, System Design, and Problem Solving

Skills

  • Java
  • java-8
  • JSON
  • Kafka
  • MongoDB
  • Redis
  • PostgreSQL
  • spring
  • spring-boot
  • apache-maven
  • Jenkins
  • Github
  • github-actions
  • Gradle
  • Kubernetes
  • Docker
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