Application Support & Software Reli...

Role Overview

We are seeking Hands-on L2/L3 Application Support and Reliability Engineers to ensure the stability of heterogeneous stacks including Windows (IIS, .NET), Linux (Tomcat, Java, Mirth Connect), Kubernetes microservices, and GPU-accelerated AI inference endpoints. You will drive 24x7 SLA-driven incident resolution and proactive maintenance.

Key Responsibilities

• Triage, investigate, and resolve L2/L3 incidents within agreed SLAs for healthcare or cloud environments.
• Perform deep-dive log analysis across IIS, Tomcat, Mirth Connect, MS SQL, PostgreSQL, Kubernetes pods, and inference services.
• Execute approved changes, releases, database/cluster housekeeping, and DR drills/failovers.
• Monitor health/capacity of application, integration, DB, and GPU tiers using Grafana/Zabbix/Azure Monitor.
• Support 24x7 on-call rotation; document RCAs and maintain the known-error knowledge base.
• Engage Level-4 vendor support for databases, middleware, GPUs (NVIDIA DCGM), and inference services when required.

Tech Stack

We utilize IIS, Tomcat, Mirth Connect, MS SQL Server, PostgreSQL, Kubernetes (kubectl/Helm), NVIDIA Triton/vLLM, PowerShell/Bash/Python, ServiceNow/Jira SM, Grafana, Zabbix, and Azure Monitor.

Requirements & Skills

• Bachelor's in CS or Engineering with 4+ years in production application support (Healthcare/Public-sector preferred).
• Strong Windows/Linux administration and troubleshooting skills.
• Kubernetes operations experience for AI inference workloads is highly desirable.

Potential Background: Experience with enterprise healthcare applications or cloud/AI platforms. Familiarity with HL7 v2.x message debugging.

Soft Skills

We value an ownership mindset, a calm troubleshooter approach, disciplined documentation habits, and being customer-focused.