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.
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