As a Technology Support Lead in CT Corporate Data and Analytic Services you will play a leadership role in ensuring the operational stability, availability, and performance of our production services. Critical thinking while overseeing day-to-day maintenance of the firm’s systems will be key and set you up for success as you navigate tasks related to identifying, troubleshooting, and resolving issues to ensure a seamless user experience.
Job Responsibilities
- Lead teams of technologists that provide end-to-end application or infrastructure service delivery for the successful business operations of the firm
- 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.
- Execute policies and procedures that ensure operational stability and availability and lead incident, problem, and change management in support of full stack technology systems, applications, or infrastructure
- Monitor production environments for anomalies, address issues, drive evolution of utilization of standard observability tools, and escalate and communicate issues and solutions to business and technology stakeholders through incident resolution and service restoration
- Applies reuse-first, AI-assisted practices across incident/problem/change routines to identify recurring interruption patterns and validate remediation actions aligned to resiliency and security expectations.
Required qualifications, capabilities, and skills
- Bachelor Degree in Computer Science/ Information systems/ Engineering or related disciplines
- Minimum 5 years of experience or equivalent expertise troubleshooting, resolving, and maintaining information technology services
- 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
- Experience managing applications or infrastructure in a large-scale technology environment both on premises and public cloud
- Proficient in observability and monitoring tools and techniques, , including hands-on use of Dynatrace, Splunk, Grafana (or equivalent)
- Experience executing on processes in scope of the Information Technology Infrastructure Library (ITIL) framework
- Strong debugging and troubleshooting skills in Java and/or Python, with the ability to diagnose issues end-to-end
- Experience working with IT Service Management (ITSM) tools and processes (e.g., ServiceNow or similar) and practical knowledge of ServiceNow processes, including Change, Incident, and Problem Management
- Willingness to work in weekend support on a Rota/on-call basis
- Familiarity with MongoDB and Oracle database concepts (queries, performance basics, and operational troubleshooting and understanding of GAP, GKP, and GKS platforms, including familiarity with their core capabilities, integrations, and operational/support considerations
Preferred qualifications, capabilities, and skills
- Experience with job scheduling/workload automation tools such as Control-M (or equivalent, e.g., AutoSys) will be added advantage
- Working knowledge of CI/CD concepts and pipelines will be added advantage
- Understanding of sustained resiliency concepts (stability, reliability, recovery practices, and operational readiness)