Experience
4 - 8 yrs
Job Location
Noida, India
Vacancy
1
Designation
System Engineer
Job Type
Not specified
Job Description
Overview:
TekWissen is a global workforce management provider throughout India and many other countries in the world. The below job opportunity is to one of our clients who is a part of a trusted global innovator of IT and business services headquartered in Tokyo. We help clients transform through consulting, industry solutions, business process services, IT modernization and managed services. This client enables us to move confidently into the digital future. This client committed to Long Term success and combine global reach with local client attention to serve them in over 50 Countries.
Position: Systems Engineering Advisor
Location: Noida
Work Type: Hybrid
Job Type: Full Time
- 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: Bachelors 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.
TekWissen Group is an equal opportunity employer supporting workforce diversity
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