Senior Software Engineer - Java with Data Structures & Algorithms

We're looking for a Senior Software Engineer with deep knowledge of Java and Data Structures & Algorithms to become part of our software engineering team and help design, build, and deliver scalable, high-performance applications.

Responsibilities

• Contribute to software builds as part of a software engineering team by applying consistent development practices
• Identify and remediate code defects through debugging basic software components
• Support the development, monitoring, and maintenance of software across test, integration, and production environments
• Set up automated deployments in test or production environments
• Comply with security and regulatory requirements
• Contribute to API design and implementation
• Apply best practices for automated unit, integration, and regression testing
• Take part in pull request reviews to maintain code quality
• Develop software within a nimble Agile team, with opportunities to shape team goals and influence overall architecture
• Ensure infrastructure remains 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

• 5 to 8 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 field
• Strong command of Java 8, Data Structures & Algorithms, and Microservices
• Deep understanding of REST APIs, JSON, and Kafka
• Working knowledge of RDBMS and NoSQL database technologies, including MongoDB, Redis, and PostgreSQL
• Proficiency with Spring Boot, Maven, and GIT
• Experience with Jenkins, GitHub Actions, and Agile development methodologies
• Solid grasp of Linux/Unix and Gradle/Maven
• Direct experience building highly scalable, low-latency applications using multi-threaded, asynchronous, and reactive programming
• Practical background deploying containerized applications to cloud environments using Kubernetes and Docker
• Experience with high availability techniques, profiling, and performance analysis of applications
• Strong skills in Design Patterns, System Design, and Problem Solving