Senior Support Engineer

Michelin Reifenwerke AG & Co. KGaA; Pune District; On-site; INR 600,000 - 900,000; Full time

Job summary

Michelin Reifenwerke AG & Co. KGaA in Pune, India, is seeking an Application Support Analyst with 3-5 years of production support experience. You will ensure reliability and performance of enterprise apps, resolve incidents, and contribute to continuous service improvement.

The ideal candidate has hands-on Java, Angular, Kubernetes, ITIL, and Generative AI skills to troubleshoot production issues, perform RCA, support changes and releases, and collaborate with global teams.

Qualifications

• Bachelor’s degree in computer science, IT, engineering, or related field.
• 3-5 years of Application/Production Support experience.
• Strong knowledge of Incident, Change and Problem Management.
• Hands-on experience with Java, Angular, and Kubernetes.
• Experience with REST APIs, SQL, and troubleshooting.
• Familiarity with ITSM tools like ServiceNow or Jira.

Responsibilities

• Manage incidents, service requests, and production issues per ITIL.
• Support Java and Angular applications.
• Monitor Kubernetes environments and deployments.
• Perform RCA and coordinate with cross-functional teams.
• Assist in change, release, and environment maintenance.
• Use Generative AI tools to aid automation and knowledge management.
• Participate in on-call support and major incident management activities.

Skills

Java

Angular

Kubernetes

ITIL processes

REST APIs

SQL

CI/CD

DevOps

Generative AI

On-call support

Education

Bachelor's degree in CS/IT/Engineering

Tools

ServiceNow

Jira

OTEL

Grafana

Job description

Application Support Analyst (3-5 Years Experience)

Mission

Ensure the reliability, availability, and performance of enterprise applications by providing effective production support, incident resolution, and continuous service improvement.

Job Summary

We are seeking a proactive Application Support Analyst with 3-5 years of experience in production and application support. The ideal candidate will have strong expertise in Java, Angular, Kubernetes, ITIL processes, and Generative AI technologies to support business-critical applications, troubleshoot production issues, drive operational excellence, and improve

Key Responsibilities

• Manage and resolve incidents, service requests, and production issues following ITIL processes.
• Support and troubleshoot applications built using Java and Angular.
• Monitor and support applications deployed on Kubernetes (K8s) environments.
• Perform root cause analysis (RCA) and coordinate with Development, DevOps, Infrastructure, and Business teams.
• Support Change and Problem Management activities, releases, deployments, and environment maintenance.
• Troubleshoot APIs, microservices, databases, and containerized applications.
• Monitor application logs, health, performance, and availability using monitoring tools.
• Maintain knowledge articles, runbooks, and support documentation.
• Leverage Generative AI tools for supporting automation, incident analysis, and knowledge management.
• Participate in on-call support and major incident management activities.

Required Qualifications

• Bachelor’s degree in computer science, Information Technology, Engineering, or a related field.
• 3-5 years of experience in Application/Production Support.
• Strong knowledge of Incident Management, Change Management, Problem Management
• Hands-on experience with Java, Angular, and Kubernetes.
• Experience supporting microservices-based and containerized applications.
• Knowledge of REST APIs, SQL, and application troubleshooting.
• Experience with ServiceNow, Jira, or similar ITSM tools.
• Strong analytical, communication, and problem-solving skills.

Skills Technical Skills

• Java (Core Java, Spring Boot)
• SQL & Database Querying
• Incident, Change & Problem Management
• Logs monitoring using OTEL and Grafana
• ServiceNow / Jira
• CI/CD & Release Support
• Generative AI, Copilot, ChatGPT
• Continuous Learning Preferred
• Experience supporting Java-based microservices and Angular applications in production environments.
• Exposure to AI platforms.
• Experience with DevOps and Agile/Scrum environments.