Technology Support III - Application & Infrastructure Support Engineer III (AI-Enabled)

Propel operational success with your expertise in technology support and a commitment to continuous improvement.  

As a Technology Support III team member in  Corporate Technology, you will ensure the operational stability, availability, and performance of our production application flows. Encourage a culture of continuous improvement as you troubleshoot, maintain, identify, escalate, and resolve production service interruptions for all internally and externally developed systems, leading to a seamless user experience.  

Job responsibilities

• Provides end-to-end application and infrastructure service delivery and supports day-to-day maintenance of the firm’s systems to ensure operational stability and availability
• Uses enterprise-authorized AI capabilities within the work environment to speed up incident triage and trend analysis from operational signals, validating outputs and handling operational data according to sensitivity and security requirements.
• Assist in the monitoring of production environments for anomalies, address issues utilizing standard observability tools, and identify issues for escalation and communication while providing solutions to business and technology stakeholders
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
• Analyze complex situations and trends to anticipate and solve issues while supporting incident, problem, and change management of full stack technology systems, applications, or infrastructure
• Applies reuse-first, AI-assisted practices within incident/problem/change routines to identify recurring interruption patterns and support validated remediation actions aligned to resiliency and security expectations.

Required qualifications, capabilities, and skills

•  3+ 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 support 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 following operational and security expectations.
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
• Demonstrated knowledge of applications or infrastructure in a large-scale technology environment both on premises and public cloud
• Experience in observability and monitoring tools and techniques
• Exposure to processes in scope of the Information Technology Infrastructure Library (ITIL) framework
• Experience with Python and Terraform 
• Strong understanding of Kubernetes; microservices architecture

Preferred qualifications, capabilities, and skills 
 

• Experience with one or more general purpose programming languages and/or automation scripting

• Exposure to microservice architecture (specifically EKS and ECS in AWS will be an added advantage)

• Working understanding of public cloud