Software Engineer - Java with Data Structures & Algorithms

We're looking for a Software Engineer skilled in Java and Data Structures & Algorithms to become part of our engineering team, helping to build and deliver 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

• 4 to 6 years in software development, testing, and implementation
• A Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related STEM field
• Strong grasp of Java 8, Data Structures & Algorithms, and Microservices
• Solid background in REST APIs, JSON, and Kafka
• Working knowledge of RDBMS and NoSQL technologies such as MongoDB, Redis, and PostgreSQL
• Comfortable with Spring Boot, Maven, and GIT
• Exposure to Jenkins, GitHub Actions, and Agile development methodologies
• Solid grasp of Linux/Unix and Gradle/Maven
• Track record of building scalable, low-latency applications using multi-threaded, asynchronous, and reactive programming
• Direct experience deploying containerized applications to cloud environments using Kubernetes and Docker
• Strong foundation in high availability techniques, profiling, and performance analysis
• Sharp skills in Design Patterns, System Design, and Problem Solving