Application Support Engineer @ investment Banking

• Incident Management:Monitor production systems, respond to incidents, and ensure timely resolution to minimize downtime.
• Problem Management:Investigate and resolve recurring issues by identifying root causes and working with development teams to implement long-term fixes.
• System Monitoring:Utilize monitoring and alerting tools (e.g., Splunk, AppDynamics, Elastic Search) to proactively identify and address potential issues.
• Environment Management:Build and maintain both production and non-production environments, ensuring they are configured and functioning properly.
• Database Management:Work with databases, including writing and optimizing SQL queries, understanding database performance, and addressing related issues.
• Automation and Scripting:Develop and maintain scripts using Python, Perl, Bash, or Shell to automate routine tasks and improve system efficiency.
• Scheduler Management:Manage and troubleshoot job scheduling tools like Autosys, Control-M, ensuring tasks run smoothly.
• Collaboration:Work closely with development, QA, and infrastructure teams to deploy new releases, patches, and updates with minimal impact on production environments.

Required Skills:

• Strong coding/scripting skills inPython,Perl,Bash, orShell(proficiency in at least two).
• Proficient inSQLandLinux/Unix commands.
• Strong debugging and problem-solving abilities.
• Exposure tohighly distributed,high availability, andfault-tolerant systems.
• Deep understanding ofdatabase concepts,SQL queries, anddatabase performance optimization.
• Experience with application monitoring and alerting tools likeSplunk,AppDynamics, orElastic Search.
• Familiarity with job schedulers such asAutosysandControl-M.
• Experience in building and maintainingproductionandnon-production environments.
• Proficiency with development tools likeGIT,Jenkins,Ansible, orPuppet.