Software Engineer - NiCE

Design and implement scalable microservices using AWS technologies. Develop high‑quality services in a Java Spring Boot environment. Participate in the full feature lifecycle-from design to implementation. Analyze requirements and create clear, comprehensive design documentation. Review and refine designs with peers and stakeholders. Collaborate closely with the team to iterate on architecture and features. Apply agile methodologies with AI tools to deliver reliable, high-impact capabilities efficiently. BSc in Computer Science/Software Engineering or equivalent Experience in one of the following: 5+ years in cloud development 5+ years in JAVA Hands‑on experience building RESTful APIs in Java. Strong software design skills, debugging capabilities, and problem‑solving strengths. Excellent written and spoken English. AI & Automation experience: Hands-on experience with AI coding tools such as GitHub Copilot or Claude Code - using AI to accelerate development, improve code quality, and optimize system design. Deep familiarity with LLMs, AI agents, or automation frameworks (e.g. Claude, OpenAI, Copilot, or similar). Experience working with agent architectures, prompt engineering, MCP / tool integrations, or related LLM ecosystems. Demonstrated ability to design and ship AI-driven solutions end-to-end - from concept to production. Hands-on experience with AI coding tools such as GitHub Copilot or Claude Code - using AI to accelerate development, improve code quality, and optimize system design. Deep familiarity with LLMs, AI agents, or automation frameworks (e.g. Claude, OpenAI, Copilot, or similar). Experience working with agent architectures, prompt engineering, MCP / tool integrations, or related LLM ecosystems. Demonstrated ability to design and ship AI-driven solutions end-to-end - from concept to production. Experience building distributed, production-grade systems at scale. Hands-on development experience with AWS services. Strong background in Spring / Spring Boot. Technical blog posts, talks, or presentations you’ve created. Contributions to open-source projects. Experience solving complex or large-scale engineering challenges. (Big Advantage)

Design and implement scalable microservices using AWS technologies. Develop high‑quality services in a Java Spring Boot environment. Participate in the full feature lifecycle-from design to implementation. Analyze requirements and create clear, comprehensive design documentation. Review and refine designs with peers and stakeholders. Collaborate closely with the team to iterate on architecture and features. Apply agile methodologies with AI tools to deliver reliable, high-impact capabilities efficiently. BSc in Computer Science/Software Engineering or equivalent Experience in one of the following: 5+ years in cloud development 5+ years in JAVA Hands‑on experience building RESTful APIs in Java. Strong software design skills, debugging capabilities, and problem‑solving strengths. Excellent written and spoken English. AI & Automation experience: Hands-on experience with AI coding tools such as GitHub Copilot or Claude Code - using AI to accelerate development, improve code quality, and optimize system design. Deep familiarity with LLMs, AI agents, or automation frameworks (e.g. Claude, OpenAI, Copilot, or similar). Experience working with agent architectures, prompt engineering, MCP / tool integrations, or related LLM ecosystems. Demonstrated ability to design and ship AI-driven solutions end-to-end - from concept to production. Hands-on experience with AI coding tools such as GitHub Copilot or Claude Code - using AI to accelerate development, improve code quality, and optimize system design. Deep familiarity with LLMs, AI agents, or automation frameworks (e.g. Claude, OpenAI, Copilot, or similar). Experience working with agent architectures, prompt engineering, MCP / tool integrations, or related LLM ecosystems. Demonstrated ability to design and ship AI-driven solutions end-to-end - from concept to production. Experience building distributed, production-grade systems at scale. Hands-on development experience with AWS services. Strong background in Spring / Spring Boot. Technical blog posts, talks, or presentations you’ve created. Contributions to open-source projects. Experience solving complex or large-scale engineering challenges. (Big Advantage)

Design and implement scalable microservices using AWS technologies. Develop high‑quality services in a Java Spring Boot environment. Participate in the full feature lifecycle-from design to implementation. Analyze requirements and create clear, comprehensive design documentation. Review and refine designs with peers and stakeholders. Collaborate closely with the team to iterate on architecture and features. Apply agile methodologies with AI tools to deliver reliable, high-impact capabilities efficiently. BSc in Computer Science/Software Engineering or equivalent Experience in one of the following: 5+ years in cloud development 5+ years in JAVA Hands‑on experience building RESTful APIs in Java. Strong software design skills, debugging capabilities, and problem‑solving strengths. Excellent written and spoken English. AI & Automation experience: Hands-on experience with AI coding tools such as GitHub Copilot or Claude Code - using AI to accelerate development, improve code quality, and optimize system design. Deep familiarity with LLMs, AI agents, or automation frameworks (e.g. Claude, OpenAI, Copilot, or similar). Experience working with agent architectures, prompt engineering, MCP / tool integrations, or related LLM ecosystems. Demonstrated ability to design and ship AI-driven solutions end-to-end - from concept to production. Hands-on experience with AI coding tools such as GitHub Copilot or Claude Code - using AI to accelerate development, improve code quality, and optimize system design. Deep familiarity with LLMs, AI agents, or automation frameworks (e.g. Claude, OpenAI, Copilot, or similar). Experience working with agent architectures, prompt engineering, MCP / tool integrations, or related LLM ecosystems. Demonstrated ability to design and ship AI-driven solutions end-to-end - from concept to production. Experience building distributed, production-grade systems at scale. Hands-on development experience with AWS services. Strong background in Spring / Spring Boot. Technical blog posts, talks, or presentations you’ve created. Contributions to open-source projects. Experience solving complex or large-scale engineering challenges. (Big Advantage)