Application Support Engineer

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