Application Support Engineer
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Job Location:
Monthly Salary:
Posted on:
11 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Description:
Technical Expertise: 8-12 years of experience in Enterprise Application Support Management with proficiency in automation observability and shift-left processes.
Communication and Problem-Solving: Excellent verbal and written communication skills attention to detail and the ability to communicate effectively with stakeholders at all levels.
Preferred Experience: Familiarity with Supply Chain domain Service Now for Incident Management and observability/monitoring tools like PagerDuty Data-dog Prometheus and Splunk.
Technical Leadership: Lead innovation in support with cutting-edge AI and LLM-powered tools and act as technical lead during critical incidents.
Support Process Improvement: Develop automation for auto-triage self-healing real-time diagnostics and enhance observability platforms for early anomaly detection.
Smart Support Tools Development: Contribute to building smart support tools like AI/ML summarizers chatbots and knowledge search systems and integrate LLM-based agents into workflows.
Primary
Enterprise application support management
Monitoring and observability tools: PagerDuty Datadog Prometheus Splunk
Incident management platforms: ServiceNow Jira Service Management
Expertise in leveraging Automation & AI Tools to drive efficiency in technical support
Secondary Good to have
AI/ML Integration in Support Experience building smart support tools like chatbots summarizers and LLM-based agents
Experience with cloud platforms: AWS GCP Azure
DevOps practices
Containerization: Docker
Orchestration: Kubernetes
Technical Expertise: 8-12 years of experience in Enterprise Application Support Management with proficiency in automation observability and shift-left processes.
Communication and Problem-Solving: Excellent verbal and written communication skills attention to detail and the ability to communicate effectively with stakeholders at all levels.
Preferred Experience: Familiarity with Supply Chain domain Service Now for Incident Management and observability/monitoring tools like PagerDuty Data-dog Prometheus and Splunk.
Technical Leadership: Lead innovation in support with cutting-edge AI and LLM-powered tools and act as technical lead during critical incidents.
Support Process Improvement: Develop automation for auto-triage self-healing real-time diagnostics and enhance observability platforms for early anomaly detection.
Smart Support Tools Development: Contribute to building smart support tools like AI/ML summarizers chatbots and knowledge search systems and integrate LLM-based agents into workflows.
Primary
Enterprise application support management
Monitoring and observability tools: PagerDuty Datadog Prometheus Splunk
Incident management platforms: ServiceNow Jira Service Management
Expertise in leveraging Automation & AI Tools to drive efficiency in technical support
Secondary Good to have
AI/ML Integration in Support Experience building smart support tools like chatbots summarizers and LLM-based agents
Experience with cloud platforms: AWS GCP Azure
DevOps practices
Containerization: Docker
Orchestration: Kubernetes
Key Skills
- Splunk
- Iis
- SQL
- .NET
- Perl
- Shell Scripting
- Weblogic
- Java
- Sybase
- Scripting
- Oracle
- Application Support
