Join a dynamic team as a skilled Full Stack, Cloud-Native Software Engineer with deep expertise in Java 8+, Spring Boot, Microservices, and modern front-end frameworks like Angular 9+ or React.js. This role focuses on designing, developing, and maintaining cutting-edge SaaS solutions within a multi-cloud ecosystem. Your contributions in Data Structures and Algorithms, cloud technologies, distributed systems, scalable architectures, and AI-driven coding will be vital for delivering high-quality software.

This position offers an exciting opportunity to work on advanced technology solutions and contribute to the innovation and growth of enterprise technology services. You'll be part of a forward-thinking environment that values continuous learning and technological advancement.

Craft robust, scalable, and secure software for our SaaS product in a multi-cloud setting. Collaborate closely with product managers, architects, and fellow engineers to drive the product roadmap. Develop clean, efficient, and maintainable code using Java, Spring Boot, Angular 9+, and Node.js. Uphold the highest standards of software quality, performance, and reliability. Diagnose and resolve issues across the full software stack, from front-end to back-end. Optimize application performance for speed, scalability, and efficiency. Stay current with industry trends, providing mentorship to junior engineers. Partner with DevOps for seamless application deployment and monitoring across cloud platforms.

A Bachelor's or Master's degree in Computer Science or a related discipline is required. Proven track record as a Full Stack Software Engineer, ideally in SaaS product development within a multi-cloud environment. Strong proficiency in Java 8, Spring Boot, Microservices, JPA, JMS, Kafka, and Node.js is essential. Expertise in front-end technologies including HTML5, CSS3, JavaScript, and TypeScript, with experience in Angular 9+ or React.js. Develop and maintain unit tests for code quality. A solid understanding of Data Structures and Algorithms is crucial for optimization. Experience with Agile, Git, CI/CD, DevOps practices, and tools like JIRA and Confluence. In-depth knowledge of cloud platforms such as AWS, Azure, or SAP Cloud Platform. Familiarity with containerization and orchestration tools like Docker and Kubernetes. Strong grasp of distributed systems, microservices, and RESTful APIs. Proficiency in both SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Redis). Excellent problem-solving abilities and communication skills are expected for effective teamwork in an agile setting. Additional advantages include knowledge of GoLang or Python, relevant certifications, and familiarity with AI and machine learning concepts.