Senior Software Engineer – Java with Data Structure & Algorithm

We are seeking a Senior Software Engineer with strong expertise in Java, Data Structures Algorithms to join our software engineering team and contribute to the design, development, and delivery of scalable, high-performance applications.

Responsibilities

• Function as a member of a software engineering team by contributing to software builds through consistent development practices
• Debug basic software components and identify code defects for remediation
• Enable the development, support, and monitoring of software across test, integration, and production environments
• Automate deployments in test or production environments
• Adhere to security and regulatory requirements
• Design and contribute to API implementations
• Follow best practices for automated unit, integration and regression testing
• Participate in pull request reviews to ensure quality code delivery
• Build software as part of a nimble Agile team, with the opportunity to impact team goals and contribute to the overall architecture
• Ensure infrastructure is safely extensible, scalable, reliable and meets SLAs for both external and internal users
• Ensure software solutions are testable, intuitive, and easy to maintain

Requirements

• 5 to 8 years of software development, testing and implementation experience
• Bachelor’s or master’s degree in Computer Science, Engineering, Information Systems, or a related STEM field
• Proficiency in Java 8, Data Structures Algorithms, and Microservices
• Expertise in REST APIs, JSON, and Kafka
• Knowledge of RDBMS NoSQL database technologies such as MongoDB, Redis, and PostgreSQL
• Skills in Spring Boot, Maven, and GIT
• Familiarity with Jenkins, GitHub Actions, and Agile development methodologies
• Understanding of Linux/Unix and Gradle/Maven
• Hands-on experience implementing highly scalable, low latency software applications using multi-threaded, asynchronous reactive programming
• Practical experience deploying containerized software applications to cloud computing environments using Kubernetes and Docker
• Background in high availability techniques, profiling, and performance analysis of applications
• Competency in Design Patterns, System Design, and Problem Solving