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We are looking for a strong Software Engineer with hands-on experience in cloud technologies, Java, Python, microservices architecture, and API development. The ideal candidate should be comfortable working in a fast-paced Agile environment, collaborating with cross-functional teams, and contributing to scalable and high-quality enterprise solutions. We value proactive engineers with strong problem-solving skills, an ownership mindset, strong requirement clarification abilities, and a willingness to learn and adapt to modern technologies and AI-driven engineering practices. The candidate should demonstrate curiosity and practical understanding of modern AI-assisted development approaches, including spec-driven development concepts, AI agents, and MCP-based workflows.
- Design, develop, and maintain scalable backend services and microservices
- Develop and enhance RESTful APIs and integrations
- Work with cloud-based infrastructure and distributed systems
- Collaborate with architects, product owners, QA engineers, and DevOps teams
- Participate in code reviews, troubleshooting, debugging, and performance optimization
- Ensure application reliability, scalability, security, and maintainability
- Contribute to CI/CD processes and engineering best practices
- Support technical documentation and knowledge sharing activities
- Actively participate in Agile ceremonies and delivery planning
- Proactively clarify technical requirements, identify ambiguities, and ask relevant questions to ensure alignment before implementation
- Utilize AI-assisted engineering tools and modern development practices to improve productivity and delivery quality
- 2+ years of experience in Java and Python development
- Hands-on experience with microservices architecture
- Experience developing and integrating REST APIs
- Good understanding of cloud technologies and cloud-native development
- Experience with version control systems such as Git
- Familiarity with CI/CD pipelines and DevOps practices
- Understanding of software design principles and clean code practices
- Experience working in Agile/Scrum environments
- Strong analytical, troubleshooting, and communication skills
- Experience with Spring Boot or similar frameworks
- Exposure to AI-assisted development tools such as GitHub Copilot
- Basic understanding of AI-driven or spec-driven development approaches
- Understanding of AI agents, MCP concepts, and how AI tooling can support engineering workflows
- Ability to effectively gather, refine, and clarify technical requirements through proactive communication and questioning
- English proficiency at B2 level or higher
- Experience with Docker and Kubernetes
- Knowledge of messaging systems, databases, and distributed systems
- Experience working with AI-native engineering workflows or agent-based development approaches