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

JPMorgan Chase & Co.; Plano (TX); On-site; USD 85,000 - 120,000; Full time

Job summary

JPMorgan Chase & Co. in Plano, TX seeks a Technology Support III to ensure production stability and performance across internal and external systems. You will troubleshoot, monitor, and resolve interruptions while promoting AI-assisted practices and secure coding standards.

You will lead incident triage, collaborate with stakeholders, and drive improvements using Terraform, Python, and Kubernetes in a large-scale environment across on-prem and cloud services.

Qualifications

• Experience with AI-assisted engineering and production support workflows.
• Familiarity with secure handling of data and outputs.
• Ability to validate AI recommendations before actions.

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.

Skills

AI capabilities

Incident management

Python

Terraform

Kubernetes

Observability

Cloud knowledge

Security awareness

ITIL basics

Tools

AWS (EKS/ECS)

Job description

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, escalated, 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