Live opening · Posted 1 day ago
Application Support & Software Reliability Engineer
StarZen · Gurugram, Haryana, India (On-site)
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At a glance
The key details from the original listing.
CompanyStarZen
LocationGurugram, Haryana, India (On-site)
Work modeNo
SkillsPython, Java, .NET, Azure, Kubernetes, PostgreSQL
Source
Linkedin
ListedPosted 1 day ago
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About the role
Description supplied by the original job listing.
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
Strong 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, Jira Service Management
Soft skills:
Ownership mindset
Calm troubleshooter
Disciplined documentation
Customer-focused
Work arrangement
No
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