Join our dynamic team to innovate and refine technology operations, impacting the core of our business services.
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 escal…
- 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
- Preferred qualifications
- 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)