Systems Engineer Middleware Platform, Azure, Microsoft Windows Server, Monitoring, Automation and AI Location: Remote — Pune or Baroda Experience: 4–6 years Shift: 24×7 rotation, including planned maintenance windows and change events Role summary • You will keep our Middleware Platform, Azure and Windows server estate running day to day — responding to alerts, resolving incidents within SLA, Product/Application deployment, executing changes cleanly, and steadily improving the stability of the systems in your care. • You work within established processes and alongside Team Engineers and Database Administrators, taking ownership of your own queue and escalating appropriately. • This role also carries a real automation mandate. We expect you to notice repetitive manual work and remove it — through scripting, through Azure automation tooling, and increasingly through AI agents that handle routine operational tasks. Experience • 4–6 years in systems administration, Application and infrastructure support or cloud operations. • Minimum 4 years hands-on production Azure administration (not lab, training or certification-only exposure). • Minimum 3 years administering Windows Server in production. • Experience working to SLAs in a ticket-driven support environment. • Willing and available to work rotating 24×7 shifts and out-of-hours maintenance windows. Preferred qualifications • Graduation or Above • Healthcare or other regulated-industry experience. Key responsibilities • Azure platform administration • Administer Azure infrastructure day to day; provision, resize and decommission Azure resources following documented standards and approved change requests. • Support Azure PaaS workloads including App Services — deployments, configuration, scaling and restarts. • Apply resource tagging, cost-optimisation recommendations and policy compliance actions as directed. • Alert monitoring and response • Own the alert queue on your shift. Monitor Logic Monitor, Azure Monitor, Log Analytics and the enterprise monitoring platform; acknowledge, triage and action alerts within SLA. • Investigate alerts using KQL queries in Log Analytics, Application Insights telemetry and Windows Event Logs. • Identify duplicate or non-actionable alerts and propose tuning — threshold changes, aggregation windows, suppression rules. Flagging a bad alert is part of the job, not an optional extra. • Maintain monitoring coverage and visibility: report agents that are down or resources missing from monitoring, and build/maintain dashboards and workbooks that surface system health to the team. • System stabilisation • Resolve incidents end to end; support the Team Members during major incidents with diagnostics, evidence gathering and communication updates. • Contribute to root cause analysis — collect logs and timelines, document findings, and implement the corrective actions assigned to you. • Perform proactive health checks across applications, servers and Azure resources: disk, CPU, memory, service state, certificate expiry, backup success. • Build knowledge of application architecture, help create and update application and alert-handling documentation, and perform pre/post product functionality checks. • Track recurring issues in your queue and raise them as problem records rather than repeatedly applying the same workaround. • Perform performance troubleshooting using standard OS and Azure diagnostic tools. • AI agent development and process automation • Write and maintain PowerShell scripts for routine administration: user and resource provisioning, health checks, reporting, scheduled tasks and cleanup jobs. • Optional: Build automation using Azure Automation Runbooks, Logic Apps and Power Automate, with proper authentication via managed identity and alerting on failure. • Contribute to building AI agents that support operations — log summarisation, alert triage and classification, drafting incident notes, and answering questions from our runbook and knowledge base. • Apply prompt engineering to generate scripts, configurations and documentation, and verify AI output before it reaches production — you are accountable for what you deploy, regardless of what produced it. • Follow responsible-AI practice without exception. • Windows and application support • Administer Windows Server in Azure and hybrid environments • Support IIS — application pool management, bindings, virtual directories, logs and basic performance troubleshooting. • Perform SSL/TLS certificate tasks: renewal, installation, binding, store management and expiry monitoring. • Support high-availability configurations including Windows Failover Clustering and SQL Server Always On, working with the team engineers and the database administrators. • Process and collaboration • Work within ITIL incident, problem and change management using ServiceNow; raise and document change requests accurately and complete them within approved windows. • Maintain and improve runbooks, SOPs and knowledge articles — especially after resolving something the documentation didn't cover. • Provide clear, timely shift handovers and status updates to stakeholders during incidents. Communication • Clear written and spoken English; able to write an incident update a non-technical stakeholder can follow. • Reliable, organised, and comfortable asking for help early rather than late. Technical • Azure PaaS and IaaS administration, Windows Server administration, IIS administration and SSL certificate handling. • Azure Monitor and Log Analytics, with working ability to read and write basic KQL. • PowerShell scripting — able to write and modify scripts independently, not only run existing ones. • Ticketing and ITIL process discipline. • Practical use of AI/LLM tools in a work context, with at least one concrete example of manual work you've automated or removed. Certifications • Required: AZ-104 (Azure Administrator Associate) — held, not "training completed". • Preferred: AZ-900, AI-900, ITIL Foundation, MCSA or equivalent Windows Server certification.