Lead Software Engineer

Airbus has embarked on a digital transformation journey, and the Digital organization at Airbus India plays a key role in enabling this through advanced digital capabilities and technologies. 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. Beyond administration, this role requires someone who can challenge the status quo, drive automation, and propose innovative improvements in Scientific Computing environments. The position offers hands-on experience with HPC clusters, interactive services, automation frameworks, and international collaboration with Airbus engineering and IT teams. Qualification & Experience: We seek out curious minds. We value attention to detail, and we care deeply about outcomes. We are looking for passionate people, eager to learn, willing to share, establishing innovative ways of working and influencing culture change.   8+ years of working experience in IT working on Linux environments (RHEL) with development experience. Strong Linux/RedHat system administration skills for Installing, managing Scientific Computing applications and Performance Analysis and debugging real time application execution. Hands-on experience with installation, configuration, tuning, and troubleshooting of scheduler platforms in Linux environments. Experience with automation using Bash, and Python Good understanding of compute resource management (CPU, GPU, memory, storage, licenses), Parallel Processing (MPI), Multithreading and Multiprocessing concepts. Good understanding of ITIL processes (Incident, Change, Problem, Service Management); certification preferred. Analytical mindset with strong problem-solving skills, able to diagnose, reproduce, and resolve complex issues. Experience in stakeholder management and user support , with ability to adapt to evolving business processes. Familiarity with OS architecture, System Design, SOLID principles and OOP principles. Programming skills in Python, Bash and Perl. Awareness of Agile methodologies and DevOps practices. Strong analytical skills, complex problem solving, ability to diagnose, reproduce & address queries independently.  Experience in stakeholder management and Consumer support, adaptation and learning of the business processes. Experienced in working within a product delivery lifecycle in software development. Good understanding of server architecture and Engineering applications. Knowledge on AI tools (Copilot, Gemini Coding Assistant) for Quality improvement, Automation and Value generation.  Understanding and experience in Cloud technologies (preferably AWS) and contributing to building cloud ready solutions. (Bonus points if Certified).  Excellent communication skills to work in a globally distributed team   Responsibilities: 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. Collaborating with business users and relevant stakeholders to define project requirements, scope and deliverables. Provide day-to-day support for production processing by solving incidents and requests raised by the user community and an ongoing event and alert management  Analyze and propose/implement to Improve incident resolution quality. Perform incident