Lead Technology Specialist

Airbus; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Airbus Bengaluru is seeking an experienced IT professional to operate, maintain, and optimize Scientific Computing environments built on Linux/RedHat with HPC workloads. You will develop, modify, and automate codebases and scripts to support high-performance storage and data lifecycle strategies.

The role requires deep knowledge of storage architectures, networking, and security practices. Responsibilities include incident management, ITIL alignment, and collaboration with global teams to drive

Qualifications

• 8+ years of IT experience with Linux environments (RHEL) and development exposure.

Responsibilities

• Operate, maintain, and optimize Scientific Computing environments (Linux/RedHat, HPC).
• Develop and maintain legacy and new codebases and automation scripts.
• Troubleshoot and resolve issues related to Scientific Computing Applications, installation, dependency management and performance.
• Apply ITIL processes in daily operations (Incident/Change/Problem Management).
• Proactively improve workflows to enhance efficiency and user experience.
• Engage stakeholders to define project requirements, scope and deliverables.
• Provide day‑to‑day support for production processing and incident management.
• Participate in Agile DevOps activities and continuous improvement initiatives.

Skills

Linux administration

HPC storage

Networking (InfiniBand, TCP/IP)

Automation (Ansible, Bash, Python)

Containerization (Singularity/Apptain)

Performance tuning

Data security and compliance

Tools

Ansible

Puppet

Bash/Python

Singularity/Apptainer

Kubernetes

Job description

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.

Storage Infrastructure & Data Lifecycle Management

• Design & Engineering: Architectural planning, deployment, and administration of parallel file systems (e.g., Lustre, IBM Spectrum Scale, BeeGFS) and scalable object storage solutions.
• Performance Engineering: Continuous monitoring of storage I/O performance; identification and mitigation of I/O bottlenecks to ensure throughput requirements for compute workloads are met.
• Data Lifecycle Strategy: Preparing for the future implementation of tiered storage concepts (HSM/ILM) to enable automated data migration across different performance tiers (hot-to-cold archiving).
• Protocol Analysis: Utilizing deep packet inspection tools (e.g., tcpdump, Wireshark) and performance profiling suites (e.g., fio, perf, iostat) to isolate packet loss, latency jitter, or metadata lock contention.
• Interconnect Optimization: Performance tuning of low-latency network configurations (InfiniBand/Ethernet) with a specific focus on RDMA protocols (RoCE/iWARP).

systems, and fabric architectures.

Access Control, Security & Compliance

• Identity & Access Governance: Managing NFS (v3/v4) and SMB/CIFS exports, taking into account multi-tenant structures and cross-cluster access.
• Hardening & Compliance: Enforcing network-level export policies (CIDR-based) and implementing POSIX-compliant ACLs as well as POSIX group mappings via LDAP/NIS.
• Data Security: Ensuring data-at-rest and data-in-transit encryption in compliance with regulatory standards (GDPR, Export Control) and institutional security policies.
• Data Movement: Orchestrating large-scale data transfers using specialized tools (e.g., XCP, Aspera, Globus).
• Consulting & Optimization: Advising users on I/O-efficient application development and best practices for highly scalable workflows.

Candidate Profile (Skills)

• Expertise: Deep knowledge in administering HPC storage stacks and distributed file systems (POSIX-compliant).
• Network Stack: Expert knowledge of TCP/IP networking, InfiniBand fabrics, routing & switching, and RDMA technologies.
• Automation: Experience in automating provisioning and configuration management (Ansible, Puppet, Bash/Python).
• Containers & Orchestration: Solid understanding of integrating storage solutions into containerized environments (Singularity/Apptainer, Kubernetes).
• 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
• Experience in stakeholder management and user support, with ability to adapt to evolving business processes.

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
• Excellent communication skills to work in a globally distributed team

Responsibilities:

• Operate, maintain, and optimize Scientific Computing environments (Linux/RedHat, HPC
• 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 categorisation/classification & find out critical issues/most popular incidents and do root cause analysis
• Perform root cause analysis for critical incidents & trend analysis for proactive measures
• Participate in Agile Development activities and deliver features for fix/improvement of the service Apply DevOps and AI tools, culture and mindset for all your activities on a daily basis
• Excellent communication skills to work in a globally distributed team
• Contribute to continuous improvement initiatives on demand.
• Engage and motivate the people (involved and stakeholders / customers) to promote Self‑reflection, Self‑management, Communication and Teamwork.
• Manage Conflicts and Negotiation to achieve optimized results for the business.
• Define and develop the objectives hierarchy of the project or product using appropriate strategies, methods and tools.
• Engage stakeholders in a governance that ensures effective use of time, budget and achievement of quality.
• Integrate processes and people from other functions (matrix organizations).
• Ensure effective integration of lessons learnt. Ensure active risk and opportunity and contract (internal or external) management.
• Ensure effective management of partners and suppliers.