Service Reliability Engineer

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

Specific Qualifications:

• Minimum 5 years of experience along with Bachelor's Degree 

• Prior experience in SRE/Application Production Support domain.