Overview
Support essential IT operations and provide day-to-day technology direction across Linux and Windows hosts in Lab, Data Center, and Cloud environments.
What you'll do
- Support essential IT operations across operating systems, security tools, applications, servers, laptops, desktops, software, and hardware while collaborating with Lab, Data Center, Cloud, IT, and Engineering teams.
- Provide 16/5 rotational on-call support, ensure SLA compliance, classify incidents accurately, communicate ticket status, and manage escalations through timely resolution.
- Troubleshoot operational issues, perform incident and problem management, identify root causes, and deliver technical support aligned with business priorities.
- Monitor system performance, review logs, perform trend analysis, and take proactive actions to improve uptime, solution health, and operational reliability.
- Use knowledge bases, best practices, technical articles, and continuous learning to improve support quality and resolve recurring issues effectively.
- Identify, design, and implement scalable process and technology improvements that enhance support for engineering tools, services, and operational workflows.
- Apply AI-enabled ways of working, including Microsoft Copilot, Generative AI, automation, analytics, and AI-assisted troubleshooting, to improve productivity, reporting, monitoring, ticket analysis, and knowledge management.
- Use AI responsibly by validating AI-generated outputs, protecting confidential information, following security and compliance requirements, and supporting Responsible AI principles.
- Provide day-to-day technology direction across Linux and Windows hosts in Lab, Data Center, and Cloud environments.
- Learn and apply new utilities, tools, and technologies through knowledge transfer sessions and continuous technical development.
What you'll need
- 0 years of experience; the role is open to fresh graduates.
- Linux knowledge is mandatory.
- Windows knowledge is mandatory.
- Technical skills and tools include Ansible, Kubernetes/OpenShift, RH Satellite, Zabbix, and infrastructure monitoring tools.
- Experience with virtual machines, containers, and cloud platforms including AWS, Azure, and GCP.
- Knowledge of CI/CD tools such as Jenkins and related automation frameworks.
- Knowledge of AI-enabled productivity and engineering tools, including Microsoft Copilot, Generative AI, automation scripts, analytics dashboards, and intelligent monitoring solutions.
Details
- Location: Hyderabad, Telangana, India.
- 16/5 rotational on-call support is required.
Read the full description and apply on the company’s own careers page.