Qualification & Experience:
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).
Network Architecture & Troubleshooting
● Advanced Diagnostics: Analyzing complex interdependencies between storage backends, file
systems, and fabric architectures.
● 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).
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.
Workload & User Enablement
● 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
complex issues.
● 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
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 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.
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