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 in

  Python

  ,

  Perl

  ,

  Bash

  , or

  Shell

  (proficiency in at least two).
• Proficient in

  SQL

  and

  Linux/Unix commands

  .
• Strong debugging and problem-solving abilities.
• Exposure to

  highly distributed

  ,

  high availability

  , and

  fault-tolerant systems

  .
• Deep understanding of

  database concepts

  ,

  SQL queries

  , and

  database performance optimization

  .
• Experience with application monitoring and alerting tools like

  Splunk

  ,

  AppDynamics

  , or

  Elastic Search

  .
• Familiarity with job schedulers such as

  Autosys

  and

  Control-M

  .
• Experience in building and maintaining

  production

  and

  non-production environments

  .
• Proficiency with development tools like

  GIT

  ,

  Jenkins

  ,

  Ansible

  , or

  Puppet

  .