As an HPE NonStop Kernel System Administrator, you will be responsible for the health, performance, and availability of our HPE NonStop server environment. This includes monitoring system operations, administering kernel-level components, troubleshooting, performing system upgrades, managing backups, and collaborating with internal teams. You will utilize advanced NonStop utilities and best practices to maintain high system availability for business-critical applications. Key Responsibilities: System Operations Monitoring: Perform daily system health checks and monitor resource utilization. Use Measure, HPE Web Viewpoint, and OSM (Open System Management) for performance monitoring and alert tracking. Respond to alerts generated by EMS (Event Management Service) and resolve issues promptly. Manage cold load and shutdown/startup procedures. Configuration Maintenance: Install, configure (Perform Sysgens), maintain HPE NonStop Kernel (NSK) operating systems. Apply software updates and patches using DSM/SCM (Distributed Systems Management/Software Configuration Management). Manage and expand network definitions and IP CLIMs. Administer system storage, including disk partitioning and mirrored volumes. Manage system processes, including Pathway subsystems and applications. Security Administration: Implement and enforce system security using Safeguard. Manage users, groups, ACLs, and perform regular audits and log reviews. Troubleshooting Problem Resolution: Diagnose and resolve hardware/software issues using tools such as TACL, SCF, and FUP, Pathway. Collaborate with vendors like HPE for escalated technical support. Backup Recovery: Design and implement backup/recovery solutions including disaster recovery strategies. Use RDF (Remote Database Facility) and TMF (Transaction Monitoring Facility) to ensure data integrity and failover protection. Automation Scripting: Write and maintain TACL scripts to automate repetitive administrative tasks. Utilize OSS (Open System Services) for Unix-style scripting and tool integration. Performance Tuning Capacity Planning: Analyze data from Measure to fine-tune performance and conduct capacity forecasting. Documentation Collaboration: Document system configurations, processes, and troubleshooting procedures. Collaborate with application developers, DBAs (NonStop SQL/MP and SQL/MX), and infrastructure teams. Projects: Assist with projects with the modernization of applications and cloud-enabled applications Required Skills Experience: Strong command of NonStop Kernel internals and architecture. Proficient with: TACL for scripting and system management. SCF for managing subsystems and configuration. FUP for file and directory administration. Measure, EMS, Safeguard, DSM/SCM for performance monitoring, event management, and security. Understanding of: Pathway, Process Pairs, TMF, Expand, IP CLIMs, and OSS. Familiarity with NonStop SQL/MP and SQL/MX. Experience with HPE Web Viewpoint or OSM graphical monitoring tools. Knowledge of RDF and disaster recovery protocols.

We are actively hiring for Data Scientist Full time Locations: Chennai, Pune, Bangalore, Noida, Gurgaon (Work from Office) Experience needed : 8+ Immediate joiners Experience with AI/ML Frameworks like TensorFlow, PyTorch, or similar. Knowledge of Data Mapping Techniques : Experience with AI-driven tools and methodologies for data mapping . Strong Code Generation Skills : Experience in developing AI models for automating code generation. Experience with Data Validation : Implementing AI-based validation techniques. Familiarity with Code Conversion : Understanding AI algorithms for code conversion. Experience with Databases like SQL Server and MongoDB. Collaboration Skills : Ability to work effectively with cross-functional teams. Problem-Solving Skills : Strong ability to identify issues and develop creative solutions. Attention to Detail : Ensure accuracy and reliability of data conversions. 5+ Years of Relevant Experience in data science or a related field. Willingness to Fail Fast and learn from mistakes in the fast-paced technology market. Preferred qualifications for consideration: Experience in the Financial Services Industry and an understanding of compliance standards. Certification in Data Science or AI/ML . Experience with Master data management, Data Wrangling and ETL Processes . Familiarity with DevOps Tools like Jira, Confluence, and BitBucket. Experience with data and AI/ML Technologies : Such as NLP/NLU, Azure Cognitive Services, Azure Synapse Analytics, Azure data bricks and Azure ML service. Previous Experience Delivering AI Solutions for complex data or conversions