Software Engineer - Java with Data Structures & Algorithms

We are seeking a Software Engineer with expertise in Java and Data Structures & Algorithms to join our engineering team and help develop scalable, high-performance applications. Responsibilities Serve as part of a software engineering team, contributing to builds using consistent development practices Identify and fix basic software defects through debugging Support the development, monitoring, and maintenance of software across test, integration, and production environments Streamline deployments through automation in test or production settings Comply with security and regulatory standards Contribute to designing and implementing APIs Implement best practices in automated unit, integration, and regression testing Review pull requests to maintain high-quality code standards Contribute to an Agile team's software development efforts while shaping team goals and overall architecture Maintain infrastructure that is scalable, reliable, and safely extensible while meeting SLAs for internal and external users Deliver software solutions that are maintainable, testable, and user-friendly 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 architecture Solid experience with REST APIs, JSON, and Kafka Familiarity with RDBMS and NoSQL databases such as MongoDB, Redis, and PostgreSQL Hands-on experience with Spring Boot, Maven, and GIT Knowledge of Jenkins, GitHub Actions, and Agile methodologies Strong understanding of Linux/Unix systems and Gradle/Maven build tools Proven ability to build scalable, low-latency applications using multi-threaded, asynchronous, and reactive programming Practical experience deploying containerized applications to cloud platforms using Kubernetes and Docker Deep understanding of high availability strategies, profiling, and performance tuning Strong command of Design Patterns, System Design, and Problem-Solving techniques