Production Support Engineer II — AI-Driven Reliability

JP Morgan Chase

Singapore

On-site

SGD 70,000 - 90,000

Full time

3 days ago

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Job summary

JP Morgan Chase Singapore is seeking a Technology Support II in the Commercial and Investment Banking Technology Digital Enablement team to help ensure production application flows are stable and performant.

You will troubleshoot, monitor, and resolve production service interruptions across a mix of internally and externally developed systems, apply AI-assisted insights, and contribute to resiliency and continuous improvement.

Qualifications

Formal training or certification on troubleshooting, resolving, and maintaining information technology services concepts with at least 2+ years of experience or equivalent expertise.
Bachelor's degree in Computer Science or related disciplines.
Working knowledge of 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.
Experience supporting applications or infrastructure in large-scale, business-critical technology environments.
Working knowledge of Linux and scripting using Python, Unix Shell, Perl, or equivalent technologies.
Knowledge of web/application and database technologies such as Apache, Tomcat, Java, Oracle, MS-SQL, and Cassandra.
Understanding of cloud, containers and messaging technologies such as AWS, Docker, Kubernetes, Kafka, Solace, and UMMQ.
Understanding of networking, load balancing, firewalls, proxies, internet security, and multi-tier application architectures.
Experience with observability and service-management tools such as Geneos, Splunk, Dynatrace, Grafana, ThousandEyes, and ServiceNow.
Familiarity with SRE and ITIL practices, supported by strong troubleshooting, communication, collaboration, and problem-solving skills.

Responsibilities

Analyze, troubleshoot, and monitor production application and infrastructure flows to maintain availability, performance, and end-to-end service delivery using standard observability tools.
Use enterprise-authorized AI capabilities within the work environment to speed up incident triage and root-cause hypothesis generation from operational signals, validating outputs and handling operational data according to sensitivity and security requirements.
Manage production incidents and service interruptions, coordinating investigation, escalation, resolution, and stakeholder communication across technology and business teams.
Improve operational stability and availability through problem management, trend analysis, automation, and identification of recurring issues and single points of failure.
Support application and infrastructure services across cloud, containers, Linux, web, database, network, security, identity, and messaging technologies.
Create and maintain monitoring, alerts, dashboards, KPIs, and operational reporting to identify service health, performance, and stability trends.
Apply reuse-first, AI-assisted practices within operational stability routines to identify recurring interruption patterns and support validated remediation actions aligned to resiliency and security expectations.
Support application onboarding and operational readiness, including dependencies, monitoring, support documentation, and production support requirements.
Support change, capacity, resiliency, DR/SR/HA activities and maintain operational runbooks and recovery procedures.