(Sr.) Applied AI Backend Engineer

• Leverage AI-native development tools (e.g., Claude Code, GitHub Copilot, Cursor) across every stage of the development lifecycle to deliver stable, high-quality output efficiently.

• Collaborate closely with stakeholders on requirement discussions, cross-team integration, and issue resolution.

• Deliver features through the full development lifecycle, including planning, design, implementation, testing, deployment, and operation.

• Create and execute test cases and scripts to validate software functionality, performance, reliability, and security.

• Troubleshoot and debug complex issues by identifying root causes and implementing effective solutions.

• Automate and enhance development and release processes to improve efficiency and reliability.

• Bachelor’s degree in computer science, engineering, or equivalent industry experience.

• Familiarity with AI-native development tools (e.g., Claude Code, GitHub Copilot, Cursor) and maintaining consistent AI configurations.

• Established a repeatable AI-native development workflow across every stage of the development lifecycle.

• Familiarity with context engineering practices and leveraging or building agent tools (e.g., AI Agent Skills, MCP servers).

• Familiarity with one of the programming languages (e.g. Golang, Python, Java, Node.js, C#)

• Familiarity with one of the testing frameworks (e.g. Selenium, pytest and Robot Framework).

• Familiarity with microservice architectures and REST API development

• Familiarity with relational or NoSQL databases (e.g. PostgreSQL, MySQL and Redis)

• Familiarity with version control systems (e.g. Git) and CI/CD processes (e.g. GitHub Action)

• Experience driving measurable team-level improvements through AI workflow standardization.

• Experience leveraging AI to redefine product capabilities and deliver measurable business impact.

• Experience in developing cloud service solutions using AWS, Azure, or GCP.

• Experience in container solution (e.g., Docker/K8S) 

• Experience in Infrastructure-as-Code (IaC) tools (e.g., Terraform, CloudFormation)

• Experience in monitoring, alerting, and log visualization tools (e.g. Elasticsearch and Kibana)

• Experience in test management platforms (e.g.TestRail)

• Able to visualize design and test logic to improve test coverage and catch edge cases.

• Passionate about AI and eager to share knowledge.

• Embraces experimentation and continuous learning in a fast-evolving AI landscape.

• Everyone owns both development and testing — quality is built, not just tested.

• Embraces DevOps culture including design, coding, testing, and support customer issues

• Good English communication skills and proactive attitude, strong problem-solving skills, and a willingness to take on challenges.

• Effective communicator and reliable team player in agile and cross-functional environments

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連結智慧 守護世界 --- Connected Intelligence for Securing a Connected World