Job Description :

Job Description

We are seeking a highly skilled Service Engineer having 7 to 10 Years of experience with strong infrastructure expertise and a deep understanding of High-Performance Computing (HPC) environments. The ideal candidate will have proven experience in managing complex systems, driving third-party application integration, and ensuring seamless operations across distributed computing platforms. This role requires exceptional problem-solving ability, strong communication skills, and a proactive approach to onboarding and supporting HPC workloads.

Required Skills & Qualifications

  • Development Experience: Minimum 3 years in software development (PowerShell, Azure Bash, Go or Python).

  • Administration Experience: 7+ years in system administration with a focus on infrastructure in PLM and HPC environments.

  • Very Strong Communication (Written and Oral), Collaboration, driving skills.

  • Proactively managing the backlog and bringing efficiencies through solution design and development.

Preferred Attributes

  • Passion for HPC technologies and infrastructure optimization.

  • Ability to learn and adapt to new tools and frameworks quickly.

  • Strong analytical and problem-solving mindset.

  • Collaborative approach with cross-functional teams.

Key Responsibilities

  • Drive integration and operational support for third-party applications on HPC and PLM infrastructure.

  • Manage and maintain Windows Server and Linux OS environments with VM and VMSS.

  • Configure and optimize HPC schedulers such as Windows HPC Pack, OpenPBS, Slurm, or similar.

  • Support distributed computing workloads, including MPI-based applications.

  • Troubleshoot and optimize networking components, focusing on TCP/IP, name resolution, and RDMA.

  • Implement and manage Azure Cycle Cloud and Azure Batch for HPC workload orchestration.

  • Collaborate with application owners to understand infrastructure dependencies and optimize performance.

  • Ensure compliance with security and operational best practices across all systems



Client : Tech Mahindra

             

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