APPLICATION PRODUCTION SUPPORT (7+)
bnpparibas | 11 days ago | Bengaluru

Direct Responsibilities

  • Monitor, troubleshoot, and resolve incidents for Java applications in a production environment.
  • Write and maintain automation scripts (Shell/Python) for routine operational tasks.
  • Manage and tune Oracle/PL‑SQL databases supporting the applications.
  • Operate and support workloads running on Kubernetes clusters.
  • Schedule, monitor, and control batch workflows using AutoSys.
  • Participate in cloud‑based deployments and operations (AWS/Azure/GCP).
  • Leverage Dynatrace or comparable monitoring tools for performance analysis and alerting.
  • Apply basic DevOps practices, including version control with Git, to streamline release and configuration management.
  • 24 × 7 Shift Coverage – Work rotating shifts to provide continuous production support, including on call availability for weekdays, weekends, and, when required, ISPL holidays.
  • Disaster Recovery (DR) Readiness – Participate in activities that ensure all CEFS production applications are DR ready, including testing, documentation, and remediation of gaps.
  • Security Vulnerability Management – Assist in identifying, triaging, and resolving hardware, software, and application level security vulnerabilities to maintain a hardened production environment.

Contributing Responsibilities

  • Monitor, troubleshoot, and resolve incidents for Java applications in a production environment.
  • Write and maintain automation scripts (Shell/Python) for routine operational tasks.
  • Manage and tune Oracle/PL‑SQL databases supporting the applications.
  • Operate and support workloads running on Kubernetes clusters.
  • Schedule, monitor, and control batch workflows using AutoSys.
  • Participate in cloud‑based deployments and operations (AWS/Azure/GCP).
  • Leverage Dynatrace or comparable monitoring tools for performance analysis and alerting.

Technical & Behavioral Competencies

  • Unix/Linux 
  • Shell scripting and Python programming
  • Oracle database with PL/SQL expertise
  • Kubernetes orchestration (deployment, scaling, troubleshooting)
  • AutoSys job scheduling experience
  • Familiarity with cloud platforms (IaaS/PaaS)
  • Monitoring tools such as Dynatrace (or equivalent)
    • Understanding of DevOps concepts and Git version control
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