23 Aug
|
NTT DATA Business Solutions
|
Gurugram
23 Aug
NTT DATA Business Solutions
Gurugram
Job Summary
Role Summary: Seeking an experienced L2 Application/Production Support Engineer to support business-critical applications, manage production incidents, troubleshoot technical issues, and ensure application availability and stability.
Client Role Details
Client: SP Global Markets
Experience: 48 Years
Location: India | Hybrid
Shift: EMEA 12 PM to 9 PM IST
Key Responsibilities
Provide L2 production/application support and resolve escalated incidents.
Manage Incident, Problem Change Management activities.
Troubleshoot application, database, OS, and cloud-related issues.
Perform RCA/post-mortems for critical production incidents.
Monitor application health, logs, alerts, jobs, and performance.
Coordinate with Development, Infrastructure, Product, and Business teams.
Support releases and maintain technical/operational documentation.
Ensure adherence to defined SLAs/OLAs.
Must-Have Skills
SQL
AWS
Splunk
CloudWatch
Prometheus
Grafana
Windows
Linux
Incident Management
Positive-to-Have
Python scripting / Terraform.
Financial Services or Capital Markets experience.
AIOps / AI-ML exposure for anomaly detection, predictive alerts,
or log analysis.
Experience supporting highly available 24x7 applications.
Education
Bachelor's degree in Computer Science, IT, Engineering, or related discipline.
Screening Priority
Solid Production Support + SQL + Cloud + Monitoring + Incident Management experience. AI/ML/AIOps is desirable, not mandatory.
Disqualifying Criteria
Reject/hold candidates if they have any of the following:
No hands-on L2 Application/Production Support experience.
Weak or no SQL/database troubleshooting experience.
No practical Cloud exposure (AWS preferred; Azure/GCP acceptable).
No experience with monitoring/observability tools such as Splunk, CloudWatch, Prometheus, or Grafana.
No exposure to Incident, Problem, Change Management and RCA.
Only Development/Testing experience with no production support ownership.
Unable to support the 12 PM-9 PM IST EMEA shift / hybrid mode.
Poor communication or inability to handle critical incidents and stakeholder coordination.
Lack of AI/ML/AIOps experience should not be treated as a disqualifier.
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