What you'll do

You will support and enhance internal developer tools, collaborate with cross-functional teams, design, develop, troubleshoot, and debug software tools, drive the adoption and integration of AI-assisted technologies, participate in the end-to-end deployment of DevEx solutions, and balance multiple demands and prioritize tasks.

• Support and enhance internal developer tools utilized company-wide, including IDEs, check-in management, regression testing, and code quality measurement systems.
• Collaborate with cross-functional teams to define requirements for common modules and methodologies, ensuring alignment with modern development practices.
• Design, develop, troubleshoot, and debug software tools using scripting (Python, Perl, Bash, PowerShell) and web application frameworks.
• Drive the adoption and integration of AI-assisted technologies and agentic AI to automate workflows and improve productivity across engineering functions.
• Participate in the end-to-end deployment of DevEx solutions, leveraging CI/CD workflows and microservice architectures.
• Balance multiple demands and prioritize tasks in a fast-paced environment, ensuring high standards of reliability and performance for all delivered solutions.

What you need

• Fluency in English, with strong verbal and written communication skills.
• Proficiency in scripting and automation using Perl, Python, Bash, or PowerShell.
• Experience with both cloud-based and on-premises Linux infrastructure environments.
• Hands-on experience developing applications in C/C++ and Python.
• Exposure to AI coding assistants (e.g., GitHub Copilot, Cursor IDE) and willingness to adopt new AI-driven tools.

What you'll need

• Fluency in English, with strong verbal and written communication skills.
• Proficiency in scripting and automation using Perl, Python, Bash, or PowerShell.
• Experience with both cloud-based and on-premises Linux infrastructure environments.
• Hands-on experience developing applications in C/C++ and Python.
• Exposure to AI coding assistants (e.g., GitHub Copilot, Cursor IDE) and willingness to adopt new AI-driven tools.

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