Harris Computer

Systems Engineer

India · Work style not stated · Full time

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About the role

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  • EmployerHarris Computer
  • LocationIndia
  • Work styleWork style not stated
  • Employment typeFull time
  • Employer posted

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.
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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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At a glance

  • Employment typeFull time
  • Employer posted
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Skills in this posting

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SQL Azure LLM

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