.Net Production Support

Job description

Production support - DotNet Common Stack & Tools - Backend: DotNet, Linux/Unix Command knowledge - Data: PostgreSQL/MySQL/Oracle; - Platform: IBM OpenShift/Windows/Azure/Linux - Monitoring tool: Knowledge on Dynatrace/equivalent infra monitoring tool, Splunk/equivalent log monitoring tool, ServiceNow/equivalent ticketing tool, Rally/equivalent tracking tools, ESP/equivalent batch scheduler DotNet Production Senior Support Engineer (35 yrs) - **Scope & Impact** - Contribute to the production support and operational stability of assigned applications/domains. - Work closely with senior engineers and crossfunctional teams to ensure timely incident resolution and smooth daytoday operations. - Provide technical inferences around system behavior, performance, and recurring issues. - Support initiatives to maintain high availability, reliability, and resilience across customerfacing and critical applications. - **Core Responsibilities** - Ensure stable production operations through active monitoring, alert handling, and proactive issue detection. - Manage the incident lifecycle (P2–P5) including triage, analysis, coordination, and resolution under guidance for P1 issues. - Assist in root cause analysis, resolution of recurring issues, and implementation of preventive measures. - Maintain and update runbooks, SOPs, playbooks, and knowledge base to support consistent operations. - Support and enhance the observability setup—dashboards, alerts, logs, metrics. - Collaborate with DevOps/SRE teams on automation, self-heal scripts, and reduction of manual tasks. - Provide operational support across L1/L2 activities and contribute to L3 investigation under guidance. - Participate in oncall rotations and adhere to team schedules and workload priorities. - Communicate effectively with business and engineering teams on incident updates, impact, and resolutions. - Ensure compliance with change management, audit needs, and security standards. - Track and support improvements in key operational metrics such as SLA adherence, MTTA, and MTTR. - **MustHave Skills** - Strong foundation in incident, problem, and change management processes (ITIL v4 exposure preferred). - Handson experience with observability tools such as Splunk, Dynatrace, AppDynamics, Datadog, Prometheus, or Grafana. - Ability to troubleshoot across infrastructure layers—Linux/Windows OS, networking basics, and cloud fundamentals (AWS/Azure/GCP/OpenShift). - Familiarity with CI/CD pipelines, build/release processes, and DevOps practices. - Ability to read and debug Java code for issue diagnosis. - Strong analytical skills and ability to work collaboratively within support teams. - **NicetoHave** - Basic knowledge of Python and automation scripting. - **AI & Responsible AI Expectations** - Basic understanding of prompt engineering and ability to leverage tools such as Copilot for productivity.