at J.P. Morgan
Bulge Bracket Investment BanksPosted 2 months ago
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**Technology Support III DevOps Engineer** ensures production flow in Ciudad Autónoma de Buenos Aires, Argentina. Key responsibilities include day-to-day application/infrastructure maintenance, leveraging AI tools for incident triage, anomaly detection, and trend analysis. The role also involves incident, problem, and change management, with a focus on continuous improvement and operational resilience. Required is proven experience (3+ years) in technology support, AI-assisted practices, observability tools, and ITIL processes. A large-scale technology environment and cloud expertise are also essential.
- Compensation
- Not specified
- City
- Not specified
- Country
- Argentina
Currency: Not specified
Full Job Description
Location: Ciudad Autnoma de Buenos Aires, Argentina
Propel operational success with your expertise in technology support and a commitment to continuous improvement.
As a Technology Support III team member 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
As a Technology Support III team member 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 or infrastructure service delivery and supports day-to-day maintenance of the firms 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
- 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 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
