The posting
Role Summary
We are looking for an experienced Level 2 Production Support Engineer with a strong background in financial services to support and enhance our business-critical applications.
The ideal candidate combines deep technical skills with strong analytical and problem-solving abilities, and is comfortable working in a fast-paced, highly regulated environment.
Key Responsibilities
• Provide Level 2 support for production applications in the financial domain, including incident analysis, troubleshooting, and resolution within agreed SLAs.
• Perform detailed root cause analysis and collaborate with Level 3 / development teams for complex issues and long-term fixes.
• Monitor application health and performance using tools such as Splunk, AppDynamics, and other enterprise monitoring solutions, proactively identifying and addressing issues.
• Develop and maintain automation scripts (preferably in Python) to streamline support activities, monitoring, and incident resolution.
• Write and optimize SQL queries to investigate data-related issues and support application troubleshooting.
• Work closely with business and operations teams to understand issues, communicate status, and minimize impact on end users.
• Contribute to knowledge base articles, runbooks, and standard operating procedures to improve support efficiency and consistency.
• Participate in on-call rotations and support coverage for critical production systems as required.
• Continuously learn and adopt new technologies, tools, and best practices to improve the stability and reliability of supported applications.
• Collaborate with reporting and analytics teams where needed, leveraging tools such as Tableau, Power BI, or Business Objects for issue analysis and reporting.
Required Skills and Experience
• Minimum of 8 years of hands-on production support experience in the financial domain.
• Strong understanding of Azure fundamentals with practical experience in Azure Kubernetes Service (AKS).
• Proficiency in SQL for troubleshooting and data analysis.
• Experience with automation and scripting, preferably using Python.
• Proven experience in Level 2 support; exposure to Level 3 / development support is highly desirable.
• Experience with monitoring and logging tools such as Splunk, AppDynamics, and similar platforms.
• Strong analytical and problem-solving skills with the ability to quickly diagnose and resolve complex issues.
• Excellent communication skills and the ability to work effectively with technical and non-technical stakeholders.
• Demonstrated willingness and ability to learn and explore new technologies and tools.
Nice-to-Have
• Experience with reporting and BI tools such as Tableau, Power BI, or Business Objects.
• Prior experience in performance tuning and capacity planning for production systems.
• Familiarity with ITIL processes (Incident, Problem, Change Management).



