Lead Software Engineer

About the role

We are seeking a proactive and innovative Application Engineer to operate, maintain, and enhance Scientific Computing managed compute environments . The role focuses on Linux/RedHat platforms with exposure to heterogeneous environments, HPC scheduling, and enterprise-grade automation (Git, Ansible) with experience in AI tools for quality improvements and automation.

What you'll do

• Operate, maintain, and optimize Scientific Computing environments (Linux/RedHat, HPC clusters, scheduling systems)
• Develop and maintain legacy codebases, new codebases and automation scripts
• Troubleshoot and resolve issues related to Scientific Computing Applications, its installation, dependency management and performance
• Apply ITIL processes in daily operations (Incident/Change/Problem Management)
• Proactively challenge existing workflows and propose innovative improvements to enhance efficiency and user experience

What you need

• 8–14 yrs of experience
• Python
• System design
• Linux
• ITIL
• Agile
• Bash
• Any graduate

Good to have

• AWS
• Perl
• Git
• Root cause analysis
• Ansible