GENERAL JOB DESCRIPTION
Hands-on L2/L3 application support and reliability engineers covering Windows (IIS, .NET), Linux (Tomcat, Java, Mirth Connect), Kubernetes microservices, and GPU-accelerated AI inference endpoints. Ensure 24x7 stability, SLA-driven incident resolution and proactive maintenance across heterogeneous stacks.
DUTIES & RESPONSIBILITIES
• Triage, investigate and resolve L2/L3 incidents within agreed SLAs.
• Perform deep-dive log analysis across IIS, Tomcat, Mirth Connect, MS SQL, PostgreSQL, Kubernetes pods and inference services.
• Execute approved changes, releases and database / cluster housekeeping.
• Monitor health and capacity of application, integration, DB and GPU tiers.
• Participate in 24x7 on-call rotation.
• Support DR drills and failover / failback execution.
• Document RCAs and maintain the known-error knowledge base.
• Engage Level-4 vendor support (database, middleware, GPU and inference vendors) when required.

SKILLS & ABILITIES
• Solid Windows Server and Linux administration.
• IIS, Tomcat and Mirth Connect troubleshooting.




• MS SQL Server and PostgreSQL query analysis and basic performance tuning.
• Kubernetes operations: kubectl, Helm, logs, events, network policies.
• Familiarity with GPU/inference services (NVIDIA Triton, vLLM) and NVIDIA DCGM is a strong plus.
• Scripting in PowerShell, Bash and/or Python.
• HL7 v2.x message debugging.
• ITSM tools (ServiceNow / Jira SM).

POTENTIAL BACKGROUND
• Bachelor's in CS / Engineering or related.
• 4+ years in production application support for healthcare, public-sector or cloud/AI platforms.
• Experience with enterprise healthcare applications is a strong plus.
• Exposure to Kubernetes operations and AI inference workloads is highly desirable.

PREFERRED TOOLS / SOFT SKILLS
Preferred tools:
• IIS, Tomcat, Mirth Connect
• MS SQL Server, PostgreSQL
• Kubernetes (kubectl, Helm)
• NVIDIA Triton, vLLM, NVIDIA DCGM
• PowerShell, Bash, Python
• Grafana, Zabbix, Azure Monitor
• ServiceNow,

📌 Application Support (Gurugram)
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