Technology Support Lead

JPMorgan Chase JPMorgan Chase · Banking · Sydney, NSW, Australia · Commercial & Investment Bank

Application Support Engineer role focused on providing technology application support, SRE principles, and incident management for Securities Services products in the Asia Pacific region. The role involves leading team adoption of enterprise-authorized AI capabilities to improve incident triage and applying AI-assisted practices for production operations.

What you'd actually do

  1. Deliver technology application support to business and operations teams across the Asia Pacific region.
  2. Review and implement technology releases, infrastructure updates, disaster recovery exercises, and patch management.
  3. Oversee production technology incidents, ensuring prompt engagement, escalation, and clear communication with business, technology, and vendor partners.
  4. Contribute to the development of tools, frameworks, and techniques to boost productivity and quality in production support, applying SRE principles.
  5. Leads team adoption of enterprise-authorized AI capabilities within the work environment to improve incident triage speed and consistency (e.g., synthesizing operational signals into prioritized actions), with human-in-the-loop validation and appropriate handling of sensitive data.

Skills

Required

  • Bachelor’s degree in Engineering, Computer Science, or Information Technology.
  • Over 10 years of experience in application support and production management.
  • Strong database expertise, including SQL for data investigations.
  • Proven experience in Production Support and SRE, with a solid understanding of SRE protocols and methodologies.
  • Support management skills, including designing and using monitoring dashboards, generating service KPIs, reporting on stability and performance, and monitoring logs/message buses.
  • Experience in technology disaster recovery planning and execution.
  • Demonstrated ability to lead Incident and Problem Management calls for business-critical outages, conduct post-incident analysis, and implement preventive measures.
  • Excellent analytical and problem-solving abilities.
  • Capable of driving issue resolution across multiple support teams.
  • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support production operations workflows with strong validation habits and awareness of data sensitivity.
  • Ability to review and validate AI-assisted incident recommendations before action, escalating when uncertain and ensuring outcomes align to operational, security, and auditability expectations.
  • Unix
  • Windows
  • Kubernetes
  • Perl
  • Python
  • Linux/UNIX shell
  • Oracle
  • MS-SQL
  • PostgreSQL
  • Cassandra
  • Splunk
  • AppDynamics
  • Dynatrace
  • Grafana
  • ITRS Geneos
  • Control-M
  • Autosys

Nice to have

  • Experience with cloud platforms (AWS, Google Cloud)
  • ITIL v4 certification
  • AWS experience and certification, including familiarity with core AWS services (EC2, S3, EKS, RDS, Cloudwatch)

What the JD emphasized

  • Over 10 years of experience in application support and production management.
  • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support production operations workflows with strong validation habits and awareness of data sensitivity.
  • Ability to review and validate AI-assisted incident recommendations before action, escalating when uncertain and ensuring outcomes align to operational, security, and auditability expectations.