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

Strong 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 model.
- Poor communication or inability to handle critical incidents and stakeholder coordination.
- Lack of AI/ML/AIOps experience should not be treated as a disqualifier.

📌 Industry Consulting Snr. Consultant (Gurugram)
🏢 NTT DATA Business Solutions
📍 Gurugram