Job Summary – Linux Automation Engineer Experienced Linux Automation Engineer responsible for designing, developing, and managing enterprise-scale Linux infrastructure automation solutions, HPC cluster management platforms, and monitoring systems. The role focuses on automating server provisioning, operating system deployment, configuration management, patching, infrastructure lifecycle management, and cluster orchestration to improve operational efficiency and scalability. Based on the job description, the position also involves leading technical initiatives, collaborating with cross-functional teams, and driving best practices in software development, DevOps, and infrastructure automation. The position requires strong expertise in Linux administration, Python development, infrastructure automation tools, and observability platforms. The engineer is expected to build and enhance scalable backend systems, REST APIs, centralized monitoring solutions, and management dashboards while ensuring high availability, security, and maintainability of infrastructure environments. Responsibilities also include implementing CI/CD pipelines, integrating enterprise platforms, and supporting HPC environments through cluster provisioning, resource monitoring, scheduler integration, and performance analytics. Key Responsibilities: HPC & Parallel Storage Design: Architect, tune, and maintain high-performance, multi-petabyte scale Parallel File Systems (PFS) like Lustre, IBM Spectrum Scale (GPFS), or BeeGFS . Optimize data-in-transit pipelines over low-latency InfiniBand or RoCE fabrics. Private Cloud Infrastructure: Design, configure, and bootstrap custom on-premises private clouds using OpenStack, VMware NSX-T, or KVM-based hypervisors (Proxmox/RHEV) . Custom Tooling & Scripting: Act as a developer within operations. Write advanced, production-grade automation scripts and internal CLI tools in Python or Go to interface directly with cloud APIs and manage resources. End-to-End Infrastructure Automation: Champion Infrastructure as Code (IaC) by creating modular Terraform plans and massive Ansible Playbooks/Roles to automate compute provisioning, job schedulers, and node validation. Hands-on DevOps Pipelines: Construct and manage multi-stage Jenkins or GitLab CI pipelines to test and securely deploy system configuration changes across development, staging, and cluster nodes. 1. Technical Leadership: · Lead and mentor a team of Full Stack Developers, Backend Developers, and Automation Engineers. · Define technical architecture, coding standards, and development best practices. · Conduct code reviews, design reviews, and technical feasibility assessments. · Drive product roadmap discussions and technical decision-making. · Collaborate with Product, Infrastructure, Validation, and Support teams. 2. Platform & Product Development: Architect and develop infrastructure management platforms, including: · HPC Cluster Management Tools · Centralized Monitoring & Alerting Platforms · Infrastructure Lifecycle Management Systems · Asset & Inventory Management Solutions · Capacity Planning & Analytics Platforms · Infrastructure Automation & Orchestration Tools 3. Linux & Infrastructure Automation: Design automation frameworks for: · Server Provisioning · OS Deployment & Configuration · Firmware & Driver Compliance · Cluster Deployment · Patch Management · Infrastructure Health Checks · Automated Validation & Benchmarking · Develop integrations with Linux-based infrastructure and enterprise platforms. 4. Monitoring & Observability: Design centralized monitoring solutions for: · Servers · Storage · Networking · GPU Clusters · HPC Infrastructure · Data Center Environments · Integrate monitoring tools such as Prometheus, Grafana, Open Telemetry, ELK, Redfish, SNMP, and IPMI. · Build predictive monitoring, alerting, and analytics capabilities. 5. HPC & Cluster Management: Develop and enhance cluster management capabilities including: · Node Discovery & Registration · Cluster Provisioning · Resource Monitoring · Job Monitoring · Scheduler Integration (Slurm /Open HPC) · Health & Performance Analytics · Cluster Lifecycle Management 6. Software Engineering: · Design scalable backend architectures and REST APIs. · Guide development of web-based dashboards and management portals. · Implement CI/CD pipelines and DevOps best practices. · Ensure high availability, scalability, security, and maintainability of developed solutions. Required Technical Skills Linux Internals: Master-level knowledge of RHEL, Rocky Linux, or Ubuntu Server (advanced kernel tuning, memory management, and high-performance network configurations). HPC Stack: Direct experience deploying and managing Slurm/PBS Pro alongside a verified track record handling parallel storage layers ( Lustre, GPFS ). Languages: Advanced proficiency in Python or Go , and robust Bash shell scripting . Automation Frameworks: Enterprise-level implementation of Terraform and Ansible/AWX . Fabrics & Interconnects: Comprehensive understanding of InfiniBand routing , Subnet Managers, and network topology tuning for high-performance computing. Linux Expertise · RHEL, Rocky Linux, Ubuntu, Alma Linux · Linux System Internals · Performance Tuning & Troubleshooting · Shell Scripting Programming · Python (Expert) · Go Lang (Preferred) · JavaScript/TypeScript · REST API Development Automation & Infrastructure · Ansible · Terraform · Git · Jenkins/GitLab CI/CD Monitoring & Observability · Prometheus · Grafana · ELK Stack · Open Telemetry · Zabbix/Nagios · Redfish/IPMI Databases · PostgreSQL · MySQL · MongoDB Front-End Awareness · ReactJS / Angular (working knowledge to guide development teams) · Dashboard & Visualization Frameworks HPC Technologies (Preferred) · Slurm · Open HPC · GPU Clusters High