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NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a L2 Production Support Engineer to join our team in Gurgaon / Noida, Haryāna (IN-HR), India (IN).

Job Description – Application / L2 Production Support Engineer

Client: S&P Global – Markets

Experience: 4–8 Years

Location: India | Hybrid

Shift: EMEA – 12 PM to 9 PM IST

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.

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

4–8 years in Application/Production Support.
Strong SQL and database troubleshooting – SQL Server/PostgreSQL/Oracle.
Cloud exposure – AWS preferred; Azure/GCP acceptable.
Monitoring tools – Splunk, CloudWatch, Prometheus, Grafana or equivalent.
Windows & Linux troubleshooting.
Incident, Problem, Change Management and RCA experience.
Strong communication, troubleshooting, and stakeholder-management skills.

Good-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 24×7 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.

Note : 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.

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